diff --git a/misc/.DS_Store b/misc/.DS_Store
index c8376b9d..9dacb15c 100644
Binary files a/misc/.DS_Store and b/misc/.DS_Store differ
diff --git a/misc/QNLP_resources.docx b/misc/QNLP_resources.docx
new file mode 100644
index 00000000..9a4a2b08
Binary files /dev/null and b/misc/QNLP_resources.docx differ
diff --git a/misc/notebooks/.DS_Store b/misc/notebooks/.DS_Store
index 29ccbd83..eb302c37 100644
Binary files a/misc/notebooks/.DS_Store and b/misc/notebooks/.DS_Store differ
diff --git a/misc/notebooks/Dataset_example.ipynb b/misc/notebooks/Dataset_example.ipynb
index 9d3fcf0b..1f8ee2b9 100644
--- a/misc/notebooks/Dataset_example.ipynb
+++ b/misc/notebooks/Dataset_example.ipynb
@@ -16,8 +16,8 @@
    "outputs": [],
    "source": [
     "import sys\n",
-    "sys.path.append(\"../../my_lib/src/Quantum\")\n",
-    "sys.path.append(\"../../my_lib/src/DataPreparation\")"
+    "sys.path.append(\"../../qnlp/quantum\")\n",
+    "sys.path.append(\"../../qnlp/data_preparation\")"
    ]
   },
   {
@@ -35,9 +35,9 @@
     "import random\n",
     "import dictionary\n",
     "import sentence\n",
-    "import Optimizer as optimizer\n",
+    "import optimizer\n",
     "import loader\n",
-    "import Circuit as circuit"
+    "import circuit"
    ]
   },
   {
@@ -73,7 +73,7 @@
    "outputs": [],
    "source": [
     "filename = 'Expanded_Transitive_dataset.json'\n",
-    "Dftrain, Dftest = loader.createdf(\"../../my_lib/src/Quantum/Datasets/\"+filename)#Dataframe form Json file\n",
+    "Dftrain, Dftest = loader.createdf(\"../../qnlp/quantum/datasets/\"+filename)#Dataframe form Json file\n",
     "#Several datasets are found in the Dataset folder. \n",
     "#In the complete dataset, three types of sentences are found:\n",
     "# \n",
@@ -307,7 +307,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 7,
    "id": "51127958-9c07-4c4d-98e5-c5e3f6f49bff",
    "metadata": {},
    "outputs": [
@@ -316,105 +316,105 @@
      "output_type": "stream",
      "text": [
       "iteration 10 \n",
-      " Cost: 0.4249097822351392\n",
+      " Cost: 1.0198503274299568\n",
       "iteration 20 \n",
-      " Cost: 0.4044928751089384\n",
+      " Cost: 0.7478418720115596\n",
       "iteration 30 \n",
-      " Cost: 0.5966064079766388\n",
+      " Cost: 0.6599667218391794\n",
       "iteration 40 \n",
-      " Cost: 0.37999511293833466\n",
+      " Cost: 0.5345356163525229\n",
       "iteration 50 \n",
-      " Cost: 0.3650454453377588\n",
+      " Cost: 0.4471222919570592\n",
       "iteration 60 \n",
-      " Cost: 0.3784365859980766\n",
+      " Cost: 0.45213791206280246\n",
       "iteration 70 \n",
-      " Cost: 0.34802458981037054\n",
+      " Cost: 0.4735795098446333\n",
       "iteration 80 \n",
-      " Cost: 0.31853631993430365\n",
+      " Cost: 0.3772853384671605\n",
       "iteration 90 \n",
-      " Cost: 0.3662310739525147\n",
+      " Cost: 0.47968684975784576\n",
       "iteration 100 \n",
-      " Cost: 0.30522736449653187\n",
+      " Cost: 0.3673164370445069\n",
       "iteration 110 \n",
-      " Cost: 0.30039293049231514\n",
+      " Cost: 0.3595967640163468\n",
       "iteration 120 \n",
-      " Cost: 0.2733249978302871\n",
+      " Cost: 0.3549604108269099\n",
       "iteration 130 \n",
-      " Cost: 0.26477023809905254\n",
+      " Cost: 0.33458566729820405\n",
       "iteration 140 \n",
-      " Cost: 0.22538271111985617\n",
+      " Cost: 0.32735254743885156\n",
       "iteration 150 \n",
-      " Cost: 0.22373424945826334\n",
+      " Cost: 0.3425883375861387\n",
       "iteration 160 \n",
-      " Cost: 0.2381827227566488\n",
+      " Cost: 0.2860701390487218\n",
       "iteration 170 \n",
-      " Cost: 0.21966755133512111\n",
+      " Cost: 0.29436419772939704\n",
       "iteration 180 \n",
-      " Cost: 0.22123338520459068\n",
+      " Cost: 0.28941379290614055\n",
       "iteration 190 \n",
-      " Cost: 0.21093640903698044\n",
+      " Cost: 0.36755957998285876\n",
       "iteration 200 \n",
-      " Cost: 0.21008400217920892\n",
+      " Cost: 0.29767047863394663\n",
       "iteration 210 \n",
-      " Cost: 0.20917975795126517\n",
+      " Cost: 0.3126142875491858\n",
       "iteration 220 \n",
-      " Cost: 0.19763485625962812\n",
+      " Cost: 0.26163391296661914\n",
       "iteration 230 \n",
-      " Cost: 0.1983702717620301\n",
+      " Cost: 0.26979805771144416\n",
       "iteration 240 \n",
-      " Cost: 0.1968089276348701\n",
+      " Cost: 0.28076181100661984\n",
       "iteration 250 \n",
-      " Cost: 0.19703558510161595\n",
+      " Cost: 0.249544546072299\n",
       "iteration 260 \n",
-      " Cost: 0.19328728960437794\n",
+      " Cost: 0.24845426550038657\n",
       "iteration 270 \n",
-      " Cost: 0.1904646842163195\n",
+      " Cost: 0.24323809780030103\n",
       "iteration 280 \n",
-      " Cost: 0.19010488698717035\n",
+      " Cost: 0.2365261742538458\n",
       "iteration 290 \n",
-      " Cost: 0.18333597211138836\n",
+      " Cost: 0.22880213176827285\n",
       "iteration 300 \n",
-      " Cost: 0.18020638892973218\n",
+      " Cost: 0.22163147270484312\n",
       "iteration 310 \n",
-      " Cost: 0.17896777654635615\n",
+      " Cost: 0.22377045107870855\n",
       "iteration 320 \n",
-      " Cost: 0.17902191437540999\n",
+      " Cost: 0.21556071705957494\n",
       "iteration 330 \n",
-      " Cost: 0.1790102085607546\n",
+      " Cost: 0.21217390474090786\n",
       "iteration 340 \n",
-      " Cost: 0.17984266949969202\n",
+      " Cost: 0.20563294211422417\n",
       "iteration 350 \n",
-      " Cost: 0.17929999710927097\n",
+      " Cost: 0.20071399156492592\n",
       "iteration 360 \n",
-      " Cost: 0.17195121632183644\n",
+      " Cost: 0.20199559909398257\n",
       "iteration 370 \n",
-      " Cost: 0.17458954190465675\n",
+      " Cost: 0.20949602067064435\n",
       "iteration 380 \n",
-      " Cost: 0.1705431973036917\n",
+      " Cost: 0.20406784361642352\n",
       "iteration 390 \n",
-      " Cost: 0.1702453814386779\n",
+      " Cost: 0.197508078016366\n",
       "iteration 400 \n",
-      " Cost: 0.16501775648426642\n",
+      " Cost: 0.19242467143107\n",
       "iteration 410 \n",
-      " Cost: 0.1645773905062744\n",
+      " Cost: 0.19017337185276878\n",
       "iteration 420 \n",
-      " Cost: 0.16312628905587653\n",
+      " Cost: 0.18837782564975597\n",
       "iteration 430 \n",
-      " Cost: 0.16463454507949146\n",
+      " Cost: 0.18756564123655056\n",
       "iteration 440 \n",
-      " Cost: 0.16672333313430132\n",
+      " Cost: 0.18699883165482245\n",
       "iteration 450 \n",
-      " Cost: 0.16443455507114843\n",
+      " Cost: 0.18489937064077858\n",
       "iteration 460 \n",
-      " Cost: 0.16293136016629717\n",
+      " Cost: 0.18398171237878408\n",
       "iteration 470 \n",
-      " Cost: 0.16052446751616184\n",
+      " Cost: 0.18211653821321946\n",
       "iteration 480 \n",
-      " Cost: 0.16075832440373572\n",
+      " Cost: 0.18263410471153105\n",
       "iteration 490 \n",
-      " Cost: 0.16012158861296572\n",
+      " Cost: 0.1810084648029411\n",
       "iteration 500 \n",
-      " Cost: 0.1598169987944293\n"
+      " Cost: 0.17830611338686214\n"
      ]
     }
    ],
@@ -433,7 +433,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 8,
    "id": "fe5b7099-c572-4d23-bec1-45e6cb7faada",
    "metadata": {},
    "outputs": [
@@ -443,13 +443,13 @@
        "Text(0, 0.5, 'Cost function (Cross entropy)')"
       ]
      },
-     "execution_count": 30,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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9f1W1KdnnRSQI3AOcDJQBC0Vknqomzk24Efibqt7rftd8YFLvbmnPiAgji/KAzsNF+6pGkIr1ERhjMqW77KMrcVYo2xOHA+vizUki8jhwNu0nqSlQ7L4fAiTP85AGOW4HcccaQDpGDdnz3xiTKX6uNDYO2JywXebuS3QzcImIlOHUBr7b1YVE5EoRWSQiiyoqKvwoK+CsVAadawC9nUfghQ0fNcZkSqaXnLwQeEhVxwOnA38WkU5lUtX7VXWuqs4tLS31rTDxGkHnpqHe1Qhs0RljTH/mZyDYAuyTsD3e3ZfocuBvAKr6LpBPBtNX5Iacv8Y7LlLT23kEXioU8aYh6yMwxqSblzTUiMg4YGLi+ar6ZjcfWwhME5HJOAHgAuCiDud8CpwEPCQiB+IEAv/afroRrxHUt7RftrK3uYZiHh7uVmswxmRKt4FARG7DWbB+JRBf4V2BlIFAVSMi8h3gBSAIPKiqK9wUFYtUdR7O7OU/iMj33Gt+TTP4J3GuGwiawh2ahno5oczLHcVrDdZHYIxJNy81gi8C+6tqc3cndqSq83E6gRP33ZTwfiVwdE+v65ecUNctZb1uGvLQNmQtQsaYTPHSR7AByPG7IP1BbrDrH0dv5xF46iNwm4asj8AYk25eagQNwBIReQVorRWo6tW+lSpDDhhdxKkHjeb5Fdvb7e9t01C8jyDVI96e/8aYTPESCOa5rwEvFAzwu4vncMBNz7cbOdTbpqH4X/kpcw3ZPAJjTIZ0GwhU9X9FJBfYz921WlXD/hYrcwIBYc3PTuPn8z/m/jedHHu9HzUU/zd5JLAagTEmU7rtIxCRE4C1OHmDfgesEZHj/C1W5h06sW2BtpdX7uDpJR2nQHjX2jSUKhDs8dWNMaZ3vHQW/xo4RVWPV9XjgM8Dv/G3WJl3yvRR/OyLBwOwaFMV1zy+ZI+v1VYjSHWOhQJjTGZ4CQQ5qro6vqGqa8iCUUQiwiVHTiQY6H2bfbwmYE1Dxpj+yEtn8SIReQD4i7t9Mc5ylVkhFBCivUw6F2sNBMnPsTTUxphM8RIIvg1cBcSHi76F01eQFXKCAZojfdNZnPIh72GIqTHG+MHLqKFm4A73lXVygr1vGop5aBpqrS1YJDDGpFnSQCAif1PV80RkGV08nlR1pq8l6yeKC3KoanBGy6rqHo3zVw+dxfGZxdZpbIxJt1Q1gmvcf89MR0H6q6L8th9RJKZ7VEPwUiNoTUPd46sbY0zvJB01pKrb3Lf/qaqbEl/Af6aneJmXHwq2vn/w7Y28s25nj68R8zKzOP6vRQJjTJp5GT56chf7TuvrgvRX+TltgeAXz63i4gcW9PgaXmYWt+UjskhgjEmvpIFARL7t9g8cICIfJbw2AsvSV8TMys/p/CN6YnFZj66hHoaPxp//vcxvZ4wxPZaqj+BR4DngF8B1CftrVXWXr6XqR/ISagRx1/5tKV+eM97zNeIP95R9BD0umTHG9I1UfQTVqvoJcCewK6F/ICIiR6SrgJk2pji/19eIN/fsbmghkiSBXXzxGptQZoxJNy99BPcCdQnbde6+rPD9U/bn2GklvbpGvEnonXWV/Pc/u25Vs2kExphM8RIIJHEdYVWN4XHR+4GgIDfIVSdO7bS/ORLt4uyuJTYJPflh1/0L6qFD2Rhj/OBpqUoRuVpEctzXNTjLV2aNvC7WMq5v9h4IEp/tyR7zbUtV9qRkxhjTe14CwbeAzwBbgDLgCOBKPwvV3+R30WFc3xzx/Hkvf+XbhDJjTKZ0GwhUtVxVL1DVkao6SlUvUtVyLxcXkVNFZLWIrBOR65Kcc56IrBSRFSLyaE9vIB26rBG09CQQdH+Ol+UsjTHGD9229YtIKfANYFLi+ap6WTefC+KsanYyTk1ioYjMU9WVCedMA64HjlbVKhEZuSc34becYFdNQ90Hgkg0Rkw91gi6eGeMMengpdP3aZzU0y8D3hvG4XBgnapuABCRx4GzgZUJ53wDuEdVq8CpffTg+mkzZJCzDk9xfoiaJicA1HXTR7CsrJqv/ul9dtW3cPqM0a37k8UEL4npjDHGD14CwSBV/e89uPY4YHPCdrx/IdF+ACLyDhAEblbV5zteSESuxO2XmDBhwh4UpXeK83NY//PTueuVtdz5ylqg+xrBF+5+u/W9l9nCXtY1NsYYP3jpLP6XiJzu0/eHgGnACcCFwB9EZGjHk1T1flWdq6pzS0tLfSpKasGAtGu0qevrzuIO/xpjTLp4CQTX4ASDRhGpEZFaEanx8LktwD4J2+PdfYnKgHmqGlbVjcAanMDQPyU80FPVCDrOHvbWWdzpK4wxJi28jBoqUtWAqhaoarG7Xezh2guBaSIyWURygQuAeR3OeQqnNoCIlOA0FfXbOQonT29r669pTB4IOs4x8NLc42WBe2OM8YOXUUPHdbVfVd9M9TlVjYjId4AXcNr/H1TVFSJyC7BIVee5x04RkZU4HdE/UNXKnt5EuswYP4RPbj2DQ255kZ11zUnPq20Ot9uOeKgSqLUNGWMyxEtn8Q8S3ufjjAb6APhsdx9U1fnA/A77bkp4r8C17muvUVqUR3ltU9LjtU3tawuN4e4HW7XOLO5d0Ywxpse8NA19IeF1MnAwUOV/0fqv0qI8KmqT1wg6diQ3JQkEdc0RTrj9NT7YVJXQR2ChwBiTXl46izsqAw7s64LsTUoL86jo0DTUkDDTuK5DjaChpetA8NHm3XxS2cAvn1+VsIpZ35bVGGO6020gEJH/JyJ3ua+7cSaXLfa/aP3X8MF5bN7VyA/+vpS65gjPL9/GjJtfbM0sWtPUvo+gMUkgiBNJbBqySGCMSS8vfQSLEt5HgMdU9R2fyrNXKMh14uffPyjj7x+0pZX+3l+XUtsUIRiQducn6yOIP/IFad2wliFjTLolDQQi8oqqngRM38OZxQPWFcdMYdrIIhSlvKaZmMIRU4Zz7n3v8ud3N3HOoe2XsWzwkKCu46ChxpYoeaEAgQ5BxRhj+lqqGsEYEfkMcJabJ6jdE0lVs7Z5aNjgXL54yLhO+398xoHc/MxKXvm4fcqkpnDXOSbif/2LtE8x0RKJceBNz3PFMZO58czpfVt4Y4zpIFUfwU3Aj3FmBN8B/Drh9Sv/i7b3mTtpOADvf7KLs2eP5R/fOqrL86rqWwAIJyQhSpxZHG9K+uvCzZ0+a4wxfS3V4vX/UNXTgF+q6okdXt3OIchG+5YWIm696aQDR3W5oA3AIT99CYCWSEIgSPi3J8tgGmNMb3mZR/DTdBRkICjIDTJx+CBCAeH4/UrJz0n94212A0HHpqHmeFOSdQ8YY9IgaxahT5eTp4+isr6FIQU51DSGk55X0xRuVyNoHTVE8gloxhjjBwsEfeyGM9o6d/NS1AjWldd1aBpqW6oysXN50Se7WL6lmq8dPdmH0hpjjLcJZX/2ss90Nig3eZwtq2qkxe0LEKTd/IGm1v1wzn3vcvMzK7u4giMWU258ahkrtlb3SZmNMdnHS4qJgxI33LWID/WnOAPL4Nwgg3O77jCua4rQEu3cRwBw7n3vdnttVSUcjbGzrpm/vPcpX31wYd8U2hiTdZIGAhG5XkRqgZnugjQ17nY5zjrGphsiwpihBV0eq+3QR9DVjGKRtt7iWIckRL94bhXTbniuNZhYsjpjzJ5KNXz0F6paBNzuLkgTX5RmhKpen8Yy7tXGDMlvt33XhYcg4mQejQeCmCrRbrLNNUfaT0r70zsbAdjlzkmwMGCM2VNe1yweDCAil4jIHSIy0edyDRjFBTkAHL9fKQ9fdjhnzRpLYV6ITyobuOvVdQCEI9rlGsgJFYJO+YrEHVtaWecEgpgquxta/LgFY8wA5yUQ3As0iMgs4PvAeuBhX0s1gMSbdK4+aSrH7VcKQHF+Ds8s3dp6zvuf7GLBxl2dPru7oW34aachpW6QqHRrBLsbwsy+5SVeWLG9L4tvjMkCXgJBxF1J7GzgblW9Byjyt1gDx41nTufmL0xnzoRhrfuK8ns+ajdZBtOOS2a+u77frvRpjOmnvDyRakXkeuBS4FgRCQA5/hZr4Bg3tKDTHIDCvJ4Hgo41gnirUWWKtZONMcYLLzWC84Fm4DJV3Y6ThO52X0s1wCWrEYxLMsIIkmcwjTcNJROLKbe/sIodNcnXWDbGZDcvuYa2A48AQ0TkTKBJVa2PoBcK87uuUE0YPijpZzrVCNwqQXdNQR9uruKe19bzw3981LNCGmOyhpeZxecB7wPnAucBC0TkHC8XF5FTRWS1iKwTketSnPcfIqIiMtdrwfdmyWoEE0f0IBC4jUPbqtv/pR/rMJ+gJeJsv7GmgrU7antcVmPMwOelaegG4DBV/aqqfgU4HGedgpTcGcj3AKcB04ELRaTTKisiUgRcAyzoScH3ZgeM7rqvfeKIwUk/k6yzuKO65ghPL9nCsx9to6YpTH3CsNSTf/NmzwpqjMkKXgJBQFUTl9yq9Pi5w4F1qrpBVVuAx3FGHnX0U+A2IGsasc+YMQaAoYPaNxGNKMxN+pmOieiSBYYnFm/hmseXcNWji5l584tU2dwCY0w3vDzQnxeRF0TkayLyNeBZ4DkPnxsHJC6xVebuayUic4B9VPXZVBcSkStFZJGILKqoqPDw1f3biMI8nvjPz/Dytcfzu4vntO5PTBPx3DXHtvtMYtPQOR5yEcVtrmrsRUmNMdnAS2fxD4DfAzPd1/2q+sPefrE7DPUOnElq3ZXhflWdq6pzS0tLe/vV/cKcCcMoKczj9BljuOiICYCTb+gHn9+f3108hwPHFHPjGQe2nn/jU8tpCkd7nFPoyQ/LUh5XVZ5essVWRTMmiyUd0C4iU4FRqvqOqj4BPOHuP0ZE9lXV9d1cewuwT8L2eHdfXBFwMPC6m1xtNDBPRM5S1UU9v5W917Un70dTOMpZs8e2S12dE2wfp8+9711OmzG6R9fevKt9jaApHG23hOa8pVu55vElXHfaAXzr+H33oPTGmL1dqhrBb4GaLvZXu8e6sxCYJiKTRSQXuACYFz+oqtWqWqKqk1R1EvAekHVBAKCkMI87zpvdaf2CaaMK220v21LNL59f3f6ckYV8+ZC2FrevHz2JOy+YnfS7fvvyWrbubqQ5EmX2LS/y46eWA6RcTa0/aApHOf/377J0826gczZWY8yeSzXFdZSqLuu4U1WXicik7i6sqhER+Q7wAhAEHlTVFSJyC7BIVeelvoL5zL4lvPBfx7G7oYVQMMDuhhYq61uIxpTcYICTDhzJ0EFOB/MtXzyYnKCQFwry/PLk+Ybue2M9T35YxqzxQ9vlMqp2A0FVfQtDB+UgIjyzdCt3vbKW5645llAw+d8Mf3x7I40tEb7z2Wl9dOedlVU1sGDjLpZs3k1eToBTf/sW91w0hzNmjvHtO43JFqkCwdAUx5JPgU2gqvOB+R323ZTk3BO8XDPb7J9kqGlHiWkrPnvASK48bgoHjili7sTh5IYCLN9STVlVI48v3MzH22p4ceWOdp8vq2rk3+t2ctEDC7jrwkM4a9ZYrn78Q1Rh9Y5aDho7pN35qsqTH27h9Blj+Om/nBXU/AwE8SyrTeEod7tZW5dsrrJAYEwfSBUIFonIN1T1D4k7ReQK4AN/i2V6IzcU4EenH9hu36hiZ12Er35mEo+9/ylrd9QRicVYtb2WUEB4Y00Fb6xxRmRd/diH/PL5Va2L5SzZvJuCnCAlRXkUu7Oi31lXybV/W9raVAPQ0BJJuTxnb8SHwTaFYzS0OB3boWCAtTtqmTqysN0iPsaYnkn1f+1/AU+KyMW0PfjnArnAl3wul/HRhYdPaLf9p3c28u/1lZw8fRThaIzXV1dQljDs9Lll27nxqeXkBAL86rxZrNtRy+RSZ/Lb/767qfW8DRX1HDS2mEff/5QJwwdx7LS+G+EVz6nUFInS6AaCl1fu4N7X13P7OTM5d+4+qT7eSW1TmOrGMOOHJZ/NbUy2SBoIVHUH8BkRORFndA/As6r6alpKZtLm60dP5qIjJpAXCtLYEuWTynqqG8M0haM8sXgL89y1E1qiMa5+7MOk13ltVTkicMOTTgf00p+cwpCCvklUuyuhaajJHeq6trwOcPIt9TQQnHvfu6zaXssnt57RJ+UzZm/WbT1eVV8DXktDWUwG5YWcIaUFuUEOHFPcur+0KI95S7cSEEg2UOebx03hD29t4NcvreHXL61p3b95VwNDxg3p+kM91FojCMdaawRx1Xsw4mnVdifvUiymBALWrGSym5eZxSaLHTR2CG/+4ERe/N7xTE8IEIm+e9I0/ufsgzvt/3RXQ5+VI95H0ByOdkrAt7sxTDSmnSbbHfHzl7njxfbDbTuqaerfw2aNSQd/evbMgDLBzYr6128eyeurKxgzJB8RIRx18h8V5oW49MiJfGHmGP7nmZWUFObyh7c29mkg2JXQR9BxbYYdNU0cf/trHL1vCbedMxOALbsb2VHTzF2vruPaU/ZPet2qhjBDB+USicZ4a91OTtx/ZJ+V2Zi9hdUIjGdF+Tl8YdZY5k4azqETh3HklBEcOWVE6/Ghg3L5zfmzueGM6RTnh7j1uVWU1/ZNLsG24aOxTgn3yqoaKatq5K+L2lJbvb/RWach153/cONTy3h0waedrhuvadz7+nq+/qeFvLlm789lZUxPWSAwvvjcgaMAeGfdTs+fUVXeXV/Jxp31nY7FawTNkWjSzKuDcoOtzUNPfeh0cBcXOAHpL+99yo+e7DQ/kt1uINjgfmd5rS39abKPBQLji1/8xwyCAWFDReeHOjjDN3/3+jpaIk4zT01TmGc+2saFf3iPS/+4oHU/OAFil/vAbmiJtjtWUpjH1Z+dypfnjKOhJcqvX1zDa6vKW+dE7Kxr4b43kqfFqqq3PgJjrI/A+CIvFGTC8EGsr6ijoraZ0qI8nl6yheljiqlvifKNhxdRUdvM6OJ88kJBrnp0MVNKnLkJZVWN/PHtjVx61EQWbKhk9j5DWx/+1Q3tH9xF+SGuPWV/Xlq5gycWb+Hu19a1Hjt9xmjmL+ucbiOxU7njeg2RaNdrQxszkFkgML6ZUjKY+cu2d/kwjnvl43LeWuv89b5hZz2z9hnK0s27ue35Vdz2/CoAvnn8lNbz4w/uvFCA5kiMwXnOsNf9OiToAzh80vAuv7s5oUYRv148OHQ3iigWU2KqKXMvGbO3sd9m45uOM5gPGlvMN46dzA8+3zaK59ll22hoiXLqQU567XitING/1zkdv8MG5VDl1ghGDHaS7cVTWkwcMZj3bziJl689rvVzJ7n9FIku+sN7/P2DtjUatu12OrMj7iSJ7uYk3PDUMqbe8FyP14Uwpj+zGoHxzeemj2LpTacQVSUUlNY8ReDkPGpoibBmex0Thg9i7NB87nxlLV+YNZYnP9zS7jrLtlQDMGZIQVsgKMxja3VT66gggJFF+ZQMzmvd3md4W/qIo6aM4N0Nlfx7vfOKi6fSqGly1nauaXT+XVdeS2VdC3MmDqO2KUJhXoiAwGPvOyOTKutbKCls+y5j9mYWCIyvhgzqOsVEYV6IwrwQI4vyW/d93x3vf+cFs3lm6VYOHFNMTWO4NZ9RUX7br+t5c8dz8LghfO7A9uP+AwEhL9QWHEqL8qiobeYLs8by7obKdueWFOaxbEs1W3c3suTTKsBpGiqvaeJzd7zZZZnjNlTUpwwEO+ua+cbDi7j9nJlMHektg6wxmSJ7WxV37ty5umhR1q1dk7VeW13O1/+0EICJIwaxqdKZpPb7Sw/l8wd1vVpbbVMYBYrzc6hrjhCNKm+v28lVjy7msEnDWPiJ89D/ylETeTghaR5AQU6wy+GpZ8wYw7PLtrVu/+LLMxg7tICnl2xh48567rrgEPYZPoh311dy5ytreG/DLgCOnjqChy87gmAXaSx2N7RQ3xJl3FBPWd2N6RUR+UBV53Z1zGoEpl87yp2wdvjk4ZwyfRQ/e/ZjAIrykv/qFiU0QcX/ih9R6PQpXHzExNZAMG1k5w7mxCCQGwrQEokxpWQwd190CPN/tK01Nff1T7Sfk3DZQws5e/ZYfvXimnb731lXyb4/ms/Xj57EoROHccaMMa0ps8+6+x0+3dXAhp+fbvmOTEZZjcD0ext31jOiMJfi/BxUlZXbajotlNOdWEx5bvl2Tj14NGVVDeSFggwfnMvyrdXMmTCMt9fupKqhhU93NTB2aD5V9WEuOXIiNU1hckMBivNzWLnVWbm1tinM4ws3M2H4IBZsrGTL7kYamqOtifFSGTsknzFDC9h/dFHrTOcjJg/nV+fOatenEaeqttaC6ROpagQWCIzpI03hKM2RGJ/srGf44FyCAScfU0CElz/eQWVdC+vK69hW3ciKrTWtI5XAGRE1e5+hbKtuYtzQAmaOH8qKrdW8u6GSbx2/L2fOHMPEEZ1HVBnjlQUCY/qZ+DrUqsqmyga+99clRGLKqOI8VmypobY50ukzXzlqIt8/eX+KC0JWSzA9ZoHAmL2IqhKOKk2RKJGosnJrDf9cXNY6rHbGuCFcetREJo0YzK76Zuqbo4g4w3XLa5oZMySfn8//mOZIjDkThjF2aD5HTy2horaZ4oKcdqOfTPawQGDMAPDg2xu55V8re3WNorwQ3zx+CrP3GcZhk4e1LkgE1h8x0GUsEIjIqcCdQBB4QFVv7XD8WuAKIAJUAJep6qZOF0pggcBks/j/rx9u3k11Q5jighBDCnJYvGk3S8t2M6W0kHXldeTnBCjKC7FsSzUzxg+luqGFwvwQ72/c1TpqanBukEMnDWf19homjhjMks27mTh8EKFggGgsxrRRRZxz6HimlAxm/LBBrUNgVZUdNc2MHpLfrmz3vLaOoYNyuPiIiV2WvSkc5eklW/jSIePJDSVPahCNaZfDbU3vZCQQiEgQWAOcDJQBC4ELVXVlwjknAgtUtUFEvg2coKrnp7quBQJj9lw0pmzcWc+mynpeXVXOgo27aGiOEFXloLFDUFVqmiJ8sKmq3edygwGCAWFIQQ71LRFqmyL8x5zxnDx9JO+ur2TOxGFc8/gSAJ69+hg2VNTz4sodHD55OGOH5LOrvoXfvLSGrdVOSo87L5jNEZNHUN0Y5p+Ly6isa+GKYycTDAgX3P8eN55xIF86ZBwiQlM4yiMLPuWiwydQkBvseEue1DSFueqRxfz4zOnsNyo7J/hlKhAcBdysqp93t68HUNVfJDn/EOBuVT061XUtEBjjL1Vl+ZYaJpUM4u+LyiivbaYp7PRD1DVFyAkFeGN1BVt2N/bp94bcWeH17prUOUFh6sgi1pXXEo4qFxy2D984bgotkRjltc0EBCYOH8yoIXntmrgSRaIx6pujvL6mnGseX8IxU0v4yxVH9Gm59xaZmlA2DticsF0GpPovcDnwXFcHRORK4EqACRMmdHWKMaaPiAgzxjvzNC47ZnLS8ypqm/mobDfjhw1iU2U9ipMGZH15HS1RZdzQfMJRp5ln3NACigtyaGyJsr6ijh01TURiSkNLlPHDChhdnM/8ZdtoicQ4efoo3lhTQSAgbKqsJxx1/lh9fOFmHl+4uVM58kIBppQWMm5oAau21/Afc8azrqKOSDTGCyt2tDv37XU7ufqxDznt4NHUt0Qpzg9R1xxh865GGsIRahrDjBlSwJkzxwBOfquoKqu21bC2vI5DJgxlSkkhuSFnxFdjOMqg3BDNkSi5wcBe28fiZ43gHOBUVb3C3b4UOEJVv9PFuZcA3wGOV9WUS0RZjcCY7PLmmgq21zQ5o57yQ9Q0RdhV30J+ToARg/PYVt3IW2t3smp7betnBucGCQUD3WaT7U4wIAQD0m4xpFHFeUwpKaRsdwObdzUysiiP8tpmZo4fwmGThpMXCrBpVwMBEcqqGqiqb2HqyEKmlBYysiiP11dXMHVkIeFojJc/3sGMcUOZMHwQoaDT9FbTGGblthoKcoIcPbWEOROGMaQgh3Asxr6lnWfDe5WpGsEWYJ+E7fHuvnZE5HPADXgIAsaY7HPcfqXdnhPv2xhSkENtU5jBuSECAaG+OUJdc4RQQBicFyIvFGDlthqq6sOIgIiTkyovFCA/J8jH22poDEepbYowKDfI+oo6p7bQEqUlGqOuKczQQbls3tXA2CEFbK9ual1GdVd9C48s2ERT2AkaAYH4nMFPKhsIrq4g6u54O2EJ1x017WstiV5c2XYsIHDDGdO5PEUtbU/5GQgWAtNEZDJOALgAuCjxBLdf4Pc4NYdyH8tijBnARJy/pqF9rqnBeSEGd5g3kSo9SVdpPrxIHHobiykioOpkw20Kx/s8Any6q4ERhbnE3IBQ1xyhKD+HnKAQiakTuNwaz8jifKKxGB9squKjsmrW7Kjtcr2OvuBbIFDViIh8B3gBZ/jog6q6QkRuARap6jzgdqAQ+Lv7Q/xUVc/yq0zGGOOHxL6BeALB+K78nLaO7MkdHuRDB+W22y7Oz4EOcWrqyCLOP6wPC9sFX6cYqup8YH6HfTclvP+cn99vjDGme7ZUpTHGZDkLBMYYk+UsEBhjTJazQGCMMVnOAoExxmQ5CwTGGJPlLBAYY0yW2+sWphGRCiDlmgUplAA7uz1rYLF7zg52z9mhN/c8UVW7zNex1wWC3hCRRcmSLg1Uds/Zwe45O/h1z9Y0ZIwxWc4CgTHGZLlsCwT3Z7oAGWD3nB3snrODL/ecVX0ExhhjOsu2GoExxpgOLBAYY0yWy5pAICKnishqEVknItdlujx9RUQeFJFyEVmesG+4iLwkImvdf4e5+0VE7nJ/Bh+JyJzMlXzPicg+IvKaiKwUkRUico27f8Det4jki8j7IrLUvef/cfdPFpEF7r39VURy3f157vY69/ikjN7AHhKRoIh8KCL/crcH9P0CiMgnIrJMRJaIyCJ3n6+/21kRCEQkCNwDnAZMBy4UkemZLVWfeQg4tcO+64BXVHUa8Iq7Dc79T3NfVwL3pqmMfS0CfF9VpwNHAle5/z0H8n03A59V1VnAbOBUETkSuA34japOBaqAy93zLweq3P2/cc/bG10DfJywPdDvN+5EVZ2dMGfA399tVR3wL+Ao4IWE7euB6zNdrj68v0nA8oTt1cAY9/0YYLX7/vfAhV2dtze/gKeBk7PlvoFBwGLgCJxZpiF3f+vvOc4SsUe570PueZLpsvfwPse7D73PAv8CZCDfb8J9fwKUdNjn6+92VtQIgHHA5oTtMnffQDVKVbe577cDo9z3A+7n4DYBHAIsYIDft9tMsgQoB14C1gO7VTXinpJ4X6337B6vBkaktcC991vgh0DM3R7BwL7fOAVeFJEPRORKd5+vv9u+rllsMk9VVUQG5BhhESkE/gn8l6rWJC4gPhDvW1WjwGwRGQo8CRyQ2RL5R0TOBMpV9QMROSHDxUm3Y1R1i4iMBF4SkVWJB/343c6WGsEWYJ+E7fHuvoFqh4iMAXD/LXf3D5ifg4jk4ASBR1T1CXf3gL9vAFXdDbyG0zQyVETif9Al3lfrPbvHhwCV6S1prxwNnCUinwCP4zQP3cnAvd9WqrrF/bccJ+Afjs+/29kSCBYC09wRB7nABcC8DJfJT/OAr7rvv4rThh7f/xV3pMGRQHVCdXOvIc6f/n8EPlbVOxIODdj7FpFStyaAiBTg9Il8jBMQznFP63jP8Z/FOcCr6jYi7w1U9XpVHa+qk3D+f31VVS9mgN5vnIgMFpGi+HvgFGA5fv9uZ7pjJI0dMKcDa3DaVW/IdHn68L4eA7YBYZz2wctx2kZfAdYCLwPD3XMFZ/TUemAZMDfT5d/Dez4Gpx31I2CJ+zp9IN83MBP40L3n5cBN7v4pwPvAOuDvQJ67P9/dXucen5Lpe+jFvZ8A/Csb7te9v6Xua0X8WeX377almDDGmCyXLU1DxhhjkrBAYIwxWc4CgTHGZDkLBMYYk+UsEBhjTJazQGCyjojUuf9OEpGL+vjaP+qw/e++vL4xfrBAYLLZJKBHgSBhVmsy7QKBqn6mh2UyJu0sEJhsditwrJv3/XtuUrfbRWShm9v9mwAicoKIvCUi84CV7r6n3KRgK+KJwUTkVqDAvd4j7r547UPcay93c82fn3Dt10XkHyKySkQecWdOIyK3irPmwkci8qu0/3RM1rCkcyabXQf8H1U9E8B9oFer6mEikge8IyIvuufOAQ5W1Y3u9mWqustN97BQRP6pqteJyHdUdXYX3/VlnHUEZgEl7mfedI8dAhwEbAXeAY4WkY+BLwEHqKrG00sY4werERjT5hScvC1LcNJaj8BZ8APg/YQgAHC1iCwF3sNJ+jWN1I4BHlPVqKruAN4ADku4dpmqxnDSZUzCSaPcBPxRRL4MNPTy3oxJygKBMW0E+K46K0PNVtXJqhqvEdS3nuSkRf4czkIos3ByAOX34nubE95HcRZeieBknfwHcCbwfC+ub0xKFghMNqsFihK2XwC+7aa4RkT2czNAdjQEZ1nEBhE5AGe5zLhw/PMdvAWc7/ZDlALH4SRH65K71sIQVZ0PfA+nSckYX1gfgclmHwFRt4nnIZx895OAxW6HbQXwxS4+9zzwLbcdfzVO81Dc/cBHIrJYnbTJcU/irB+wFCdz6g9VdbsbSLpSBDwtIvk4NZVr9+gOjfHAso8aY0yWs6YhY4zJchYIjDEmy1kgMMaYLGeBwBhjspwFAmOMyXIWCIwxJstZIDDGmCz3/wFPFXiEvKrFUAAAAABJRU5ErkJggg==\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -477,7 +477,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 9,
    "id": "ddfef635-dcf6-4976-b94f-3199357aeb45",
    "metadata": {
     "tags": []
@@ -490,7 +490,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 10,
    "id": "ee2a448c-0b4e-41e1-b937-0d392495e3cb",
    "metadata": {},
    "outputs": [
@@ -512,7 +512,7 @@
       "------\n",
       "Sentence: bird flees cat\n",
       "label = True\n",
-      "I found this sentence to be FALSE\n",
+      "I found this sentence to be TRUE\n",
       "------\n",
       "Sentence: dog flees mouse\n",
       "label = False\n",
@@ -528,7 +528,7 @@
       "------\n",
       "Sentence: mouse eats mouse\n",
       "label = False\n",
-      "I found this sentence to be TRUE\n",
+      "I found this sentence to be FALSE\n",
       "------\n",
       "Sentence: mouse eats cat\n",
       "label = False\n",
@@ -536,7 +536,7 @@
       "------\n",
       "Sentence: mouse flees fish\n",
       "label = False\n",
-      "I found this sentence to be TRUE\n",
+      "I found this sentence to be FALSE\n",
       "------\n",
       "Sentence: cat eats mouse\n",
       "label = True\n",
@@ -552,7 +552,7 @@
       "------\n",
       "Sentence: dog flees bird\n",
       "label = False\n",
-      "I found this sentence to be FALSE\n",
+      "I found this sentence to be TRUE\n",
       "------\n",
       "Sentence: bird eats cat\n",
       "label = False\n",
@@ -588,7 +588,7 @@
       "------\n",
       "Sentence: cat chases cat\n",
       "label = False\n",
-      "I found this sentence to be FALSE\n",
+      "I found this sentence to be TRUE\n",
       "------\n",
       "Sentence: cat eats cat\n",
       "label = False\n",
@@ -608,7 +608,7 @@
       "------\n",
       "Sentence: dog chases dog\n",
       "label = False\n",
-      "I found this sentence to be TRUE\n",
+      "I found this sentence to be FALSE\n",
       "------\n",
       "Sentence: mouse flees dog\n",
       "label = True\n",
@@ -628,7 +628,7 @@
       "------\n",
       "Sentence: bird eats dog\n",
       "label = False\n",
-      "I found this sentence to be TRUE\n",
+      "I found this sentence to be FALSE\n",
       "------\n",
       "Sentence: mouse chases bird\n",
       "label = False\n",
@@ -648,7 +648,7 @@
       "------\n",
       "Sentence: dog eats mouse\n",
       "label = False\n",
-      "I found this sentence to be TRUE\n",
+      "I found this sentence to be FALSE\n",
       "------\n",
       "Sentence: cat flees mouse\n",
       "label = False\n",
@@ -672,7 +672,7 @@
       "------\n",
       "Sentence: mouse chases mouse\n",
       "label = False\n",
-      "I found this sentence to be TRUE\n",
+      "I found this sentence to be FALSE\n",
       "------\n",
       "Sentence: mouse chases cat\n",
       "label = False\n",
@@ -750,7 +750,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 11,
    "id": "4a41e1f0-81fa-40f3-b495-2ead207b1e32",
    "metadata": {},
    "outputs": [],
@@ -761,7 +761,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 12,
    "id": "29ec4040-8509-4056-aadd-99b75feb0ee9",
    "metadata": {},
    "outputs": [
@@ -779,7 +779,7 @@
       "------\n",
       "Sentence: cat eats dog\n",
       "label = False\n",
-      "I found this sentence to be TRUE\n",
+      "I found this sentence to be FALSE\n",
       "------\n",
       "Sentence: cat chases mouse\n",
       "label = True\n",
@@ -787,11 +787,11 @@
       "------\n",
       "Sentence: dog eats meat\n",
       "label = True\n",
-      "I found this sentence to be TRUE\n",
+      "I found this sentence to be FALSE\n",
       "------\n",
       "Sentence: cat eats bird\n",
       "label = True\n",
-      "I found this sentence to be TRUE\n",
+      "I found this sentence to be FALSE\n",
       "------\n",
       "Sentence: cat chases fish\n",
       "label = False\n",
@@ -803,7 +803,7 @@
       "------\n",
       "Sentence: dog flees cat\n",
       "label = False\n",
-      "I found this sentence to be FALSE\n",
+      "I found this sentence to be TRUE\n",
       "------\n",
       "Sentence: cat eats meat\n",
       "label = True\n",
@@ -811,7 +811,7 @@
       "------\n",
       "Sentence: bird chases cat\n",
       "label = False\n",
-      "I found this sentence to be FALSE\n",
+      "I found this sentence to be TRUE\n",
       "------\n",
       "Sentence: bird flees fish\n",
       "label = False\n",
@@ -886,7 +886,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 13,
    "id": "87a11ae6-1b1e-4a18-9b96-83fe146872c4",
    "metadata": {},
    "outputs": [
@@ -894,23 +894,23 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "train accuracy = 0.7916666666666666\n",
-      "test accuracy = 0.6923076923076923\n"
+      "train accuracy = 0.8958333333333334\n",
+      "test accuracy = 0.46153846153846156\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x7fb429e7c3a0>"
+       "<matplotlib.legend.Legend at 0x7f8cadd5a280>"
       ]
      },
-     "execution_count": 35,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -932,10 +932,209 @@
     "plt.legend()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "ef8c2a41-cf23-4462-9ba6-26c7441aa0fe",
+   "metadata": {},
+   "source": [
+    "## Missing word guessing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "id": "847102d8-7ace-4b85-bdb0-650d45f2ff0c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def createDfFromTestSentence(Sentence, vocab, stype):\n",
+    "    PossibleSentences = []\n",
+    "    Stypes=[]\n",
+    "    for word in MyDict.dictionary:\n",
+    "        value = MyDict.dictionary[word]\n",
+    "        if value.wordtype[0] == 'NOUN':\n",
+    "            PossibleSentences.append(Sentence.replace(\"_\", word))\n",
+    "            Stypes.append(stype)\n",
+    "    PossSenDf = pd.DataFrame({\"sentence\": PossibleSentences, \n",
+    "                              \"sentence_type\": Stypes,\n",
+    "                              \"sentence_type_code\": 0*len(Stypes),\n",
+    "                              \"truth_value\": 0.5*len(Stypes)})\n",
+    "    return PossSenDf"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 84,
+   "id": "49d3f37a-d001-48f8-a11c-06646c87da7c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def getMissingWord(Sentence, vocab, stype, MyDict):\n",
+    "    PossSenDF = createDfFromTestSentence(Sentence, vocab, stype)\n",
+    "    PossSenList = createsentencelist(PossSenDF, MyDict)\n",
+    "    \n",
+    "    PossibleSentenceDF_result = PossibleSentenceDF.copy()\n",
+    "    PossSenResult={}\n",
+    "    \n",
+    "    for a_sentence in PossSenList:\n",
+    "        mycirc = circuit.CircuitBuilder()\n",
+    "        mycirc.createcircuit(a_sentence, dataset=True)\n",
+    "        mycirc.executecircuit()\n",
+    "\n",
+    "        probs = [0, 0]\n",
+    "        # print('sentence: {}'.format(mysentence.sentence))\n",
+    "        for sample in mycirc.result:\n",
+    "            state = sample.state.bitstring\n",
+    "            postselectedqubits = ''.join(state[x] for x in range(len(state)) if x != a_sentence.sentencequbit)\n",
+    "            if postselectedqubits == '0' * (mycirc.qlmprogram.qbit_count - 1):\n",
+    "                if state[a_sentence.sentencequbit] == '0':\n",
+    "                    probs[0] = sample.probability\n",
+    "                    # print(\n",
+    "                    #    \"State %s: probability %s, amplitude %s\" % (sample.state, sample.probability, sample.amplitude))\n",
+    "                elif state[a_sentence.sentencequbit] == '1':\n",
+    "                    probs[1] = sample.probability\n",
+    "                    # print(\n",
+    "                    #    \"State %s: probability %s, amplitude %s\" % (\n",
+    "                    #   sample.state, sample.probability, sample.amplitude))\n",
+    "        prob0 = probs[0] / sum(probs)\n",
+    "        prob1 = probs[1] / sum(probs)\n",
+    "        print('Sentence: {}'.format(a_sentence.sentence))\n",
+    "        PossSenResult[a_sentence.sentence] = prob1\n",
+    "        print(prob1)\n",
+    "    print(\"--------\")\n",
+    "    print(\"I guess that {} sounds good to me\".format(max(PossSenResult, key=PossSenResult.get)))\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 94,
+   "id": "525702c1-ab6b-49eb-bc10-186d3a4b6707",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Sentence: dog flees dog\n",
+      "0.7853441672828345\n",
+      "Sentence: bone flees dog\n",
+      "0.6951706404611332\n",
+      "Sentence: mouse flees dog\n",
+      "0.7697833897125629\n",
+      "Sentence: fish flees dog\n",
+      "0.788474009780866\n",
+      "Sentence: cat flees dog\n",
+      "0.7714563053474869\n",
+      "Sentence: bird flees dog\n",
+      "0.9188255268740065\n",
+      "Sentence: seed flees dog\n",
+      "0.6919986165985383\n",
+      "Sentence: meat flees dog\n",
+      "0.7325716966957909\n",
+      "--------\n",
+      "I guess that bird flees dog sounds good to me\n",
+      "\n",
+      "\n",
+      "Sentence: dog eats fish\n",
+      "0.06693826724306812\n",
+      "Sentence: bone eats fish\n",
+      "0.059213368469697616\n",
+      "Sentence: mouse eats fish\n",
+      "0.18797212290263318\n",
+      "Sentence: fish eats fish\n",
+      "0.17186319620684884\n",
+      "Sentence: cat eats fish\n",
+      "0.8518807068900163\n",
+      "Sentence: bird eats fish\n",
+      "0.6754795539934825\n",
+      "Sentence: seed eats fish\n",
+      "0.05887994498468877\n",
+      "Sentence: meat eats fish\n",
+      "0.09318739603708165\n",
+      "--------\n",
+      "I guess that cat eats fish sounds good to me\n",
+      "\n",
+      "\n",
+      "Sentence: dog eats mouse\n",
+      "0.09018011808154651\n",
+      "Sentence: bone eats mouse\n",
+      "0.08000300969434614\n",
+      "Sentence: mouse eats mouse\n",
+      "0.22283576393576\n",
+      "Sentence: fish eats mouse\n",
+      "0.2862401131799101\n",
+      "Sentence: cat eats mouse\n",
+      "0.8882204567647521\n",
+      "Sentence: bird eats mouse\n",
+      "0.7419899643356629\n",
+      "Sentence: seed eats mouse\n",
+      "0.07956242231053588\n",
+      "Sentence: meat eats mouse\n",
+      "0.12432886059017237\n",
+      "--------\n",
+      "I guess that cat eats mouse sounds good to me\n",
+      "\n",
+      "\n",
+      "Sentence: dog eats dog\n",
+      "0.019587521667223308\n",
+      "Sentence: dog eats bone\n",
+      "0.9945319701446489\n",
+      "Sentence: dog eats mouse\n",
+      "0.09018011808154651\n",
+      "Sentence: dog eats fish\n",
+      "0.06693826724306812\n",
+      "Sentence: dog eats cat\n",
+      "0.009129146018448787\n",
+      "Sentence: dog eats bird\n",
+      "0.011421699941487676\n",
+      "Sentence: dog eats seed\n",
+      "0.9437490311600525\n",
+      "Sentence: dog eats meat\n",
+      "0.028319061226451454\n",
+      "--------\n",
+      "I guess that dog eats bone sounds good to me\n"
+     ]
+    }
+   ],
+   "source": [
+    "getMissingWord(\"_ flees dog\", Myvocab, \"NOUN-TVERB-NOUN\", MyDict)\n",
+    "print(\"\\n\")\n",
+    "getMissingWord(\"_ eats fish\", Myvocab, \"NOUN-TVERB-NOUN\", MyDict)\n",
+    "print(\"\\n\")\n",
+    "getMissingWord(\"_ eats mouse\", Myvocab, \"NOUN-TVERB-NOUN\", MyDict)\n",
+    "print(\"\\n\")\n",
+    "getMissingWord(\"dog eats _\", Myvocab, \"NOUN-TVERB-NOUN\", MyDict)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3960876a-ded3-4a87-a1ad-e6d65391ffe5",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0003c2d5-d851-4080-9c5b-ea43c9a446b1",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "692846c5-2c7a-44d0-90d0-116770c25805",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "40904492-c49c-4ef5-b04f-52d4c0c500f3",
+   "id": "a40b6eae-cb37-499e-b7a7-133ee3306ca2",
    "metadata": {},
    "outputs": [],
    "source": []
diff --git a/misc/notebooks/DressedQuantumCircuit/Dressed_QNLP_demo.ipynb b/misc/notebooks/DressedQuantumCircuit/Dressed_QNLP_demo.ipynb
new file mode 100644
index 00000000..5f0c9899
--- /dev/null
+++ b/misc/notebooks/DressedQuantumCircuit/Dressed_QNLP_demo.ipynb
@@ -0,0 +1,11200 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "4e829385-45a5-45c0-9f25-78c85fbe754f",
+   "metadata": {},
+   "source": [
+    "# Neural Networks in Dressed quantum circuits for NLP"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "ced88d2d-5f20-44e2-ac7d-374604f318c3",
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "from transformers import BertTokenizer, BertModel\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import nltk\n",
+    "import torch\n",
+    "\n",
+    "from discopy import grammar\n",
+    "from pytket.circuit.display import render_circuit_jupyter\n",
+    "\n",
+    "from lambeq.ccg2discocat import DepCCGParser\n",
+    "from lambeq.circuit import IQPAnsatz\n",
+    "from lambeq.core.types import AtomicType\n",
+    "\n",
+    "N = AtomicType.NOUN\n",
+    "S = AtomicType.SENTENCE\n",
+    "\n",
+    "from sympy import default_sort_key\n",
+    "\n",
+    "from qiskit import QuantumCircuit\n",
+    "from qiskit.circuit import Parameter\n",
+    "from pytket.extensions.qiskit import qiskit_to_tk, tk_to_qiskit, IBMQBackend\n",
+    "from pytket.qasm import circuit_to_qasm_str\n",
+    "\n",
+    "from sympy import default_sort_key\n",
+    "\n",
+    "from qiskit import QuantumCircuit\n",
+    "from qiskit.circuit import Parameter\n",
+    "from pytket.extensions.qiskit import qiskit_to_tk, tk_to_qiskit, IBMQBackend\n",
+    "\n",
+    "from pytket.qasm import circuit_to_qasm_str\n",
+    "\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "import torch\n",
+    "from torch.autograd import Function\n",
+    "from torchvision import datasets, transforms\n",
+    "import torch.optim as optim\n",
+    "import torch.nn as nn\n",
+    "import torch.nn.functional as F\n",
+    "\n",
+    "import qiskit\n",
+    "from qiskit import transpile, assemble\n",
+    "from qiskit.visualization import *\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6452a3c6-a154-495e-b920-0b4df6b2b289",
+   "metadata": {},
+   "source": [
+    "## Getting BERT Embeddings"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "029bb557-9d3d-4468-bc81-25041ab33a3c",
+   "metadata": {},
+   "source": [
+    "In this section we retrieve word embedding from a pretrained model. WE are using a BERT model with 768-dimensional context dependant vectors for each word.\n",
+    "The embeddings are selected as the outputs from the last layers of the model. More investigation is needed to determine which is the best layer to retrieve these vectors from, and how it affects the transfer learning approach."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "6b84458a-c8f4-46c6-921e-4d111f3802f2",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Some weights of the model checkpoint at bert-base-uncased were not used when initializing BertModel: ['cls.predictions.bias', 'cls.predictions.transform.LayerNorm.bias', 'cls.predictions.transform.dense.bias', 'cls.predictions.transform.LayerNorm.weight', 'cls.predictions.decoder.weight', 'cls.seq_relationship.weight', 'cls.seq_relationship.bias', 'cls.predictions.transform.dense.weight']\n",
+      "- This IS expected if you are initializing BertModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
+      "- This IS NOT expected if you are initializing BertModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "model = BertModel.from_pretrained('bert-base-uncased',\n",
+    "                                  output_hidden_states = True,\n",
+    "                                  )\n",
+    "\n",
+    "tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "80e16277-3e5a-44ec-b96e-c0862de3719b",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "bf5fd2ff-7c51-47b1-85f9-656df2993e93",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "def bert_text_preparation(text, tokenizer):\n",
+    "\n",
+    "    marked_text = \"[CLS] \" + text + \" [SEP]\"\n",
+    "    tokenized_text = tokenizer.tokenize(marked_text)\n",
+    "    indexed_tokens = tokenizer.convert_tokens_to_ids(tokenized_text)\n",
+    "    segments_ids = [1]*len(indexed_tokens)\n",
+    "\n",
+    "\n",
+    "    tokens_tensor = torch.tensor([indexed_tokens])\n",
+    "    segments_tensors = torch.tensor([segments_ids])\n",
+    "\n",
+    "    return tokenized_text, tokens_tensor, segments_tensors\n",
+    "    \n",
+    "def get_bert_embeddings(tokens_tensor, segments_tensors, model):\n",
+    "\n",
+    "\n",
+    "    with torch.no_grad():\n",
+    "        outputs = model(tokens_tensor, segments_tensors)\n",
+    "\n",
+    "        hidden_states = outputs[2][1:]\n",
+    "\n",
+    "\n",
+    "    token_embeddings = hidden_states[-1]\n",
+    "\n",
+    "    token_embeddings = torch.squeeze(token_embeddings, dim=0)\n",
+    "\n",
+    "    list_token_embeddings = [token_embed.tolist() for token_embed in token_embeddings]\n",
+    "\n",
+    "    return list_token_embeddings"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "bba24b81-9d79-4b49-a201-43ca75e67247",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "\n",
+    "def get_sentence_BERT_embeddings(SenList):\n",
+    "    Sentences_Embeddings = []\n",
+    "    if type(SenList) == str:\n",
+    "        SenList = [SenList]\n",
+    "    for sentence in SenList:\n",
+    "        tokenized_text, tokens_tensor, segments_tensors = bert_text_preparation(sentence, tokenizer)\n",
+    "        list_token_embeddings = get_bert_embeddings(tokens_tensor, segments_tensors, model)\n",
+    "        nwords = len(sentence.split(\" \"))\n",
+    "\n",
+    "        word_embeddings = []\n",
+    "        for word in sentence.split(\" \"):\n",
+    "            word_index = tokenized_text.index(word.lower().replace(\".\",\"\"))\n",
+    "            word_embeddings.append(list_token_embeddings[word_index])\n",
+    "\n",
+    "        Sentences_Embeddings.append(word_embeddings)\n",
+    "    return Sentences_Embeddings"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "c51bd5dd-d824-4479-8154-d9cbe7ab3616",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Alice repairs the car\n",
+      "Number of words:  4\n",
+      "Parameters per word:  [768, 768, 768, 768]\n"
+     ]
+    }
+   ],
+   "source": [
+    "example_sentence= \"Alice repairs the car\"\n",
+    "example_sentence_embedding = get_sentence_BERT_embeddings(\"Alice repairs the car\")\n",
+    "print(example_sentence)\n",
+    "print(\"Number of words: \", len(example_sentence_embedding[0]))\n",
+    "print(\"Parameters per word: \", [len(embedding) for embedding in example_sentence_embedding[0]])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "64dc9b32-e39f-431b-b581-24d184915bd9",
+   "metadata": {},
+   "source": [
+    "## DisCoCat Circuits"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7a56f87c-5a16-431e-84bd-968571297553",
+   "metadata": {},
+   "source": [
+    "In this section the DisCoCat diagrams and the corresponding quantum circuits are created. The Ansatz used is the Instantaneous Quantum Polynomial (IQP), with a first layer consisting of Hadamard gates and a second layer made up of parametrized diagonal one- and two-qubit gates. \n",
+    "\n",
+    "Tensorial methods implemented by the Lambeq library are used to rewrite the circuits in order to reduce the number of qubits required. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "3b642cb0-e704-461a-bb56-636be0221779",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "from discopy import grammar\n",
+    "from pytket.circuit.display import render_circuit_jupyter\n",
+    "\n",
+    "from lambeq.ccg2discocat import DepCCGParser\n",
+    "from lambeq.circuit import IQPAnsatz\n",
+    "from lambeq.core.types import AtomicType\n",
+    "\n",
+    "N = AtomicType.NOUN\n",
+    "S = AtomicType.SENTENCE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "f9bc3d7a-8945-4686-9e44-105003d7f897",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/chainer/_environment_check.py:33: UserWarning: Accelerate has been detected as a NumPy backend library.\n",
+      "vecLib, which is a part of Accelerate, is known not to work correctly with Chainer.\n",
+      "We recommend using other BLAS libraries such as OpenBLAS.\n",
+      "For details of the issue, please see\n",
+      "https://docs.chainer.org/en/stable/tips.html#mnist-example-does-not-converge-in-cpu-mode-on-mac-os-x.\n",
+      "\n",
+      "Please be aware that Mac OS X is not an officially supported OS.\n",
+      "\n",
+      "  warnings.warn('''\\\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "depccg_parser = DepCCGParser()\n",
+    "diagram = depccg_parser.sentence2diagram('Alice repairs the car')\n",
+    "diagram.draw()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "bc1dade2-9865-4905-9208-262a97cb6ac6",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Alice\n",
+      "repairs\n",
+      "the\n",
+      "car\n",
+      "Cup(n.l, n)\n",
+      "Cup(n.l, n)\n",
+      "Cup(n, n.r)\n"
+     ]
+    }
+   ],
+   "source": [
+    "for box in diagram.boxes:\n",
+    "    print(box)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "17b8a5db-853c-40aa-91ac-acfc03810e4b",
+   "metadata": {},
+   "source": [
+    "When converting the driagram to a circuit, functors are used to transform boxes and cups into quantum gates and qubit wires. Custom Ansatz can be defined providing how these transformations must be done."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "dd9e9206-ea0c-484e-8bf7-cb44f47d140e",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "ansatz = IQPAnsatz({N: 1, S: 1}, n_layers=2)\n",
+    "discopy_circuit = ansatz(diagram)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "98e15aff-ed5b-481f-9c9b-cc213a5b9ed3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x1080 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "discopy_circuit.draw(figsize=(10, 15))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "a8e8ea55-5b0b-4626-ba76-85cd4e112cdd",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "<!DOCTYPE html>\n",
+       "<html lang=\"en\">\n",
+       "<head>\n",
+       "    <meta charset=\"UTF-8\">\n",
+       "    \n",
+       "<style>\n",
+       "body, .circuit__preview-body {\n",
+       "    font-family: \"roboto\", system-ui, sans-serif;\n",
+       "    --accent-col: green;\n",
+       "    --accent-col-fill: darkseagreen;\n",
+       "    --accent-col-alt: #aca;\n",
+       "    --accent-col-emph: limegreen;\n",
+       "    --accent-col-overlay: rgba(130,255,140,0.2);\n",
+       "    --accent-col-outline: rgba(30, 250, 30,0.2);\n",
+       "    --main-col: black;\n",
+       "    --mid-col: #bbb;\n",
+       "    --faint-col: #eee;\n",
+       "    --faint-col-overlay: rgba(0, 0, 0, 0.05);\n",
+       "    --main-bg: white;\n",
+       "}\n",
+       "\n",
+       ".row{\n",
+       "    display: flex;\n",
+       "    flex-wrap: wrap;\n",
+       "    align-items: center;\n",
+       "    padding: 10px;\n",
+       "    border-bottom: 1px solid var(--faint-col);\n",
+       "    position: relative;\n",
+       "}\n",
+       ".row-item{\n",
+       "    flex-grow: 1\n",
+       "}\n",
+       ".row-item-l{\n",
+       "    text-align: left;\n",
+       "}\n",
+       ".row-item-r{\n",
+       "    text-align: right;\n",
+       "}\n",
+       ".row-sub-heading{\n",
+       "    border-color: var(--accent-col-emph);\n",
+       "}\n",
+       "\n",
+       "/* FOR DISPLAYING CIRCUITS */\n",
+       "/* Main preview container */\n",
+       ".circuit-preview {\n",
+       "    width: 100%;\n",
+       "    height: 100%;\n",
+       "    text-align: center;\n",
+       "    color: black;\n",
+       "}\n",
+       ".circuit_variables {\n",
+       "    /* Define some variables */\n",
+       "    --box-height: 40px;\n",
+       "    --wire-col: black;\n",
+       "    --c-wire-col: #bbb;\n",
+       "    --box-col: #ccc;\n",
+       "    --box-col-overlay: rgba(0,0,0,0.05);\n",
+       "    --c-box-col: #ddd;\n",
+       "    --index-col: #888;\n",
+       "}\n",
+       ".circuit-preview.condensed{\n",
+       "    display: flex;\n",
+       "    flex-wrap: nowrap;\n",
+       "}\n",
+       "\n",
+       "/* Box colours */\n",
+       ".h {\n",
+       "    --box-col: #ffee00;\n",
+       "    --box-col-overlay: rgba(255, 255, 0, 0.2);\n",
+       "    --c-box-col: #ffee88;\n",
+       "    --index-col: #ffcc00;\n",
+       "}\n",
+       ".x {\n",
+       "    --box-col: #ff8888;\n",
+       "    --box-col-overlay: rgba(255, 0, 0, 0.2);\n",
+       "    --c-box-col: #e8a6a6;\n",
+       "    --index-col: red;\n",
+       "}\n",
+       ".y {\n",
+       "    --box-col: #6699ff;\n",
+       "    --box-col-overlay: rgba(0, 0, 255, 0.2);\n",
+       "    --c-box-col: #86c6f6;\n",
+       "    --index-col: blue;\n",
+       "}\n",
+       ".z {\n",
+       "    --box-col: #ccffcc;\n",
+       "    --box-col-overlay: rgba(0, 255, 0, 0.2);\n",
+       "    --c-box-col: #e2ffe2;\n",
+       "    --index-col: green;\n",
+       "}\n",
+       "\n",
+       ".circuit-container{\n",
+       "    max-width: 100%;\n",
+       "    display: flex;\n",
+       "    flex-flow: row wrap;\n",
+       "    justify-content: center;\n",
+       "    align-content: flex-start;\n",
+       "    margin: auto;\n",
+       "    width: -moz-fit-content;\n",
+       "    width: fit-content;\n",
+       "    background: rgba(255, 255, 255, 1);\n",
+       "}\n",
+       ".circuit-preview.condensed > .circuit-container{\n",
+       "    flex-wrap: nowrap;\n",
+       "    min-width: fit-content;\n",
+       "}\n",
+       ".circuit-container.nested{\n",
+       "    position: relative;\n",
+       "    flex-wrap: nowrap;\n",
+       "    margin: -2px 0;\n",
+       "}\n",
+       ".nested-circuit-container{\n",
+       "    display: flex;\n",
+       "    overflow: auto;\n",
+       "    max-width: 400px;\n",
+       "    background: var(--box-col-overlay);\n",
+       "    border: 1px solid var(--box-col);\n",
+       "}\n",
+       ".nested-circuit-container::-webkit-scrollbar {\n",
+       "    height: 0;\n",
+       "    width: 0;\n",
+       "}\n",
+       ".circuit-inner-scroll{\n",
+       "    overflow: visible;\n",
+       "    width: -moz-fit-content;\n",
+       "    width: fit-content;\n",
+       "    margin: auto;\n",
+       "    margin-top: 2px;\n",
+       "}\n",
+       ".circuit-end{\n",
+       "    width: 2px;\n",
+       "    height: auto;\n",
+       "    border: 2px solid var(--wire-col);\n",
+       "    margin: calc(var(--box-height)/2) 0 calc(var(--box-height)/2 + 20px);\n",
+       "}\n",
+       ".circuit-layer{\n",
+       "    min-width: 40px;\n",
+       "    width: max-content;\n",
+       "    display: flex;\n",
+       "    flex-flow: column nowrap;\n",
+       "    flex-grow: 1;\n",
+       "    justify-content: space-between;\n",
+       "    align-items: stretch;\n",
+       "    margin-bottom: 20px;\n",
+       "}\n",
+       ".circuit-container:not(.nested) > .circuit-layer:nth-child(2),\n",
+       ".circuit-container:not(.nested) > .circuit-layer:nth-last-child(2),\n",
+       ".circuit-container.nested > .circuit-layer:nth-child(2),\n",
+       ".circuit-container.nested > .circuit-layer:nth-last-child(2),\n",
+       ".gate_container.nested > .circuit-layer:first-child,\n",
+       ".gate_container.nested > .circuit-layer:last-child{\n",
+       "    min-width: 10px;\n",
+       "}\n",
+       ".nested .circuit-layer{\n",
+       "    margin-bottom: 0;\n",
+       "}\n",
+       ".flex_wire{\n",
+       "    flex-grow: 1;\n",
+       "}\n",
+       "/* Display qubit names at start of circuit */\n",
+       ".circuit-layer.qubits{\n",
+       "    flex-grow: 0;\n",
+       "    color: var(--wire-col);\n",
+       "}\n",
+       ".qubit{\n",
+       "    height: calc(var(--box-height) - 20px);\n",
+       "    padding: 10px;\n",
+       "    text-align: center;\n",
+       "    font-family: monospace;\n",
+       "    box-sizing: content-box;\n",
+       "}\n",
+       ".wire{\n",
+       "    height: 0;\n",
+       "    border: 1px solid var(--wire-col);\n",
+       "    background: var(--wire-col);\n",
+       "    margin: calc(var(--box-height)/2) 0;\n",
+       "}\n",
+       ".wire.classical{\n",
+       "    border-color: var(--c-wire-col) !important;\n",
+       "    background: var(--c-wire-col) !important;\n",
+       "}\n",
+       ".wire.transparent-wire{\n",
+       "    border-color: transparent;\n",
+       "    background: transparent;\n",
+       "}\n",
+       "\n",
+       "/* Generic base for our gates */\n",
+       ".gate_container{\n",
+       "    position: relative;\n",
+       "    min-width: -moz-fit-content;\n",
+       "    min-width: fit-content;\n",
+       "}\n",
+       ".gate_container.nested{\n",
+       "    display: flex;\n",
+       "    flex-wrap: nowrap;\n",
+       "}\n",
+       ".gate_container.nested:after{\n",
+       "    display: flex;\n",
+       "    flex-wrap: nowrap;\n",
+       "}\n",
+       ".gate_container .classical{\n",
+       "    background: var(--c-box-col);\n",
+       "    border-color: var(--index-col);\n",
+       "}\n",
+       ".gate{\n",
+       "    position: relative;\n",
+       "    height: calc(var(--box-height) - 16px);\n",
+       "    margin: 0 9px;\n",
+       "    padding: 9px 5px;\n",
+       "    border: 1px solid var(--index-col);\n",
+       "    border-bottom: none;\n",
+       "    border-top: none;\n",
+       "    text-align: left;\n",
+       "    background: var(--box-col);\n",
+       "    display: flex;\n",
+       "    box-sizing: content-box;\n",
+       "    z-index: 1;\n",
+       "}\n",
+       ".wire-label{\n",
+       "    color: var(--index-col);\n",
+       "    width: -moz-fit-content;\n",
+       "    width: fit-content;\n",
+       "    height: calc(var(--box-height) - 18px);\n",
+       "    padding-right: 5px;\n",
+       "}\n",
+       ".gate_top > .wire-label,\n",
+       ".gate_bottom > .wire-label {\n",
+       "    padding-top: 0;\n",
+       "}\n",
+       ".nested-label-layer{\n",
+       "    background: var(--box-col);\n",
+       "    padding: 0 5px;\n",
+       "}\n",
+       ".nested-label-layer .wire-label{\n",
+       "    padding: 10px 0;\n",
+       "}\n",
+       "\n",
+       "/* Multi-qubit gates */\n",
+       ".gate_bottom{\n",
+       "    height: calc(var(--box-height) - 18px);\n",
+       "    margin-bottom: 10px;\n",
+       "    padding-bottom: 0;\n",
+       "    border-bottom: 1px solid var(--index-col);\n",
+       "}\n",
+       ".gate_top{\n",
+       "    height: calc(var(--box-height) - 18px);\n",
+       "    margin-top: 10px;\n",
+       "    padding-top: 0;\n",
+       "    border-top: 1px solid var(--index-col);\n",
+       "}\n",
+       ".gate_name{\n",
+       "    text-align: center;\n",
+       "    flex-grow: 1;\n",
+       "}\n",
+       "/* Single qubit gate*/\n",
+       ".gate_box{\n",
+       "    height: calc(var(--box-height) - 20px);\n",
+       "    margin: 10px;\n",
+       "    padding: 0 5px;\n",
+       "    border: 1px solid var(--index-col);\n",
+       "    text-align: center;\n",
+       "}\n",
+       "\n",
+       "/* Special gates */\n",
+       ".gate_connection {\n",
+       "    position: absolute;\n",
+       "    top: -3px;\n",
+       "    left: -1px;\n",
+       "    border: none;\n",
+       "    margin: calc(var(--box-height)/2) calc(50% - 5px);\n",
+       "    padding: 0;\n",
+       "}\n",
+       ".gate_swap {\n",
+       "    height: 20px;\n",
+       "    width: 20px;\n",
+       "    margin: calc(var(--box-height)/2 - 6px) calc(50% - 9px);\n",
+       "    background: url(\n",
+       "data:image/svg+xml;utf8,%0A%3C%21--%20Generated%20with%20http%3A//jxnblk.com/paths%20--%3E%0A%3Csvg%0A%20%20xmlns%3D%27http%3A//www.w3.org/2000/svg%27%0A%20%20viewBox%3D%270%200%2064%2064%27%0A%20%20width%3D%2764%27%20height%3D%2764%27%0A%20%20fill%3D%27currentcolor%27%3E%0A%20%20%3Cpath%20d%3D%27M60%200%20L32%2028%20L4%200%20L0%204%20L28%2032%20L0%2060%20L4%2064%20L32%2036%20L60%2064%20L64%2060%20L36%2032%20L64%204%27%20/%3E%0A%3C/svg%3E\n",
+       ") center;\n",
+       "    background-size: cover;\n",
+       "}\n",
+       ".gate_measure {\n",
+       "    height: 20px;\n",
+       "    width: 25px;\n",
+       "    margin: calc(var(--box-height)/2 - 10px) calc(50% - 11px);\n",
+       "    background: url(\n",
+       "data:image/svg+xml;utf8,%0A%3C%21--%20Generated%20with%20http%3A//jxnblk.com/paths%20--%3E%0A%3Csvg%0A%20%20xmlns%3D%27http%3A//www.w3.org/2000/svg%27%0A%20%20viewBox%3D%27-10%20-10%2084%2084%27%0A%20%20width%3D%2764%27%20height%3D%2764%27%0A%20%20fill%3D%27white%27%0A%20%20stroke%3D%22black%22%0A%20%20stroke-width%3D%224px%22%0A%3E%0A%20%20%3Cpath%20d%3D%27M63%2C63%20C63%2C32%2048%2C16%2032%2C16%20C16%2C16%201%2C32%201%2C63%20L63%2C63%27%20/%3E%0A%20%20%3Cpath%20d%3D%22M32%2C63%20L56%2C16%22%20/%3E%0A%3C/svg%3E\n",
+       ") center;\n",
+       "    background-size: cover;\n",
+       "}\n",
+       ".gate_control {\n",
+       "    position: absolute;\n",
+       "    top: 0;\n",
+       "    left: 0;\n",
+       "    border-radius: 50%;\n",
+       "    width: 6px;\n",
+       "    height: 6px;\n",
+       "    margin: calc(var(--box-height)/2 - 3px) calc(50% - 5px);\n",
+       "    padding: 0;\n",
+       "    border: 2px solid var(--wire-col);\n",
+       "    background: var(--box-col);\n",
+       "}\n",
+       ".gate_control.classical{\n",
+       "    background: var(--c-wire-col);\n",
+       "    border-color: var(--c-wire-col);\n",
+       "}\n",
+       ".control_index{\n",
+       "    position: absolute;\n",
+       "    right: calc(50% - 1em);\n",
+       "    top: calc(50% - 1.4em);\n",
+       "    color: var(--c-wire-col);\n",
+       "    font-size: 0.8em;\n",
+       "}\n",
+       ".control_index.measure{\n",
+       "    right: calc(50% - 1.2em);\n",
+       "    top: calc(50% - 1.8em);\n",
+       "    color: var(--index-col);\n",
+       "}\n",
+       ".gate_x {\n",
+       "    top: -10px;\n",
+       "    left: -6px;\n",
+       "    border-radius: 50%;\n",
+       "    border: 1px solid var(--wire-col);\n",
+       "    width: 20px;\n",
+       "    background: url(\n",
+       "data:image/svg+xml;utf8,%0A%3C%21--%20Generated%20with%20http%3A//jxnblk.com/paths%20--%3E%0A%3Csvg%0A%20%20xmlns%3D%27http%3A//www.w3.org/2000/svg%27%0A%20%20viewBox%3D%270%200%2064%2064%27%0A%20%20width%3D%2764%27%20height%3D%2764%27%0A%20%20fill%3D%27currentcolor%27%3E%0A%20%20%3Cpath%20d%3D%27M36%2064%20L36%2036%20L64%2036%20L64%2028%20L36%2028%20L36%200%20L28%200%20L28%2028%20L0%2028%20L0%2036%20L28%2036%20L28%2064%27%20/%3E%0A%3C/svg%3E\n",
+       ") center;\n",
+       "    background-color: var(--box-col);\n",
+       "    background-size: cover;\n",
+       "}\n",
+       ".gate_reset{\n",
+       "    margin: 11px 10px;\n",
+       "    padding: 0 0 0 10px;\n",
+       "    border: none !important;\n",
+       "    border-left: 2px solid var(--wire-col) !important;\n",
+       "    background: transparent;\n",
+       "}\n",
+       ".gate_reset_spider{\n",
+       "    width: calc(var(--box-height) - 24px);\n",
+       "    height: calc(var(--box-height) - 24px);\n",
+       "    background: var(--box-col);\n",
+       "    border: 2px solid var(--wire-col);\n",
+       "    border-radius: 50%;\n",
+       "    font-size: 0.75em;\n",
+       "}\n",
+       "\n",
+       "/* Add wire sections coming in and out of the gate */\n",
+       ".gate_in:before, .gate_in:after{\n",
+       "    content: '';\n",
+       "    position: absolute;\n",
+       "    display: block;\n",
+       "    top: calc(50% - 1px);\n",
+       "    border: 1px solid var(--wire-col);\n",
+       "    width: 9px;\n",
+       "    height: 0;\n",
+       "    background: var(--wire-col);\n",
+       "    box-sizing: content-box;\n",
+       "}\n",
+       ".classical.gate_in:before,\n",
+       ".classical.gate_in:after{\n",
+       "    border-color: var(--c-wire-col);\n",
+       "}\n",
+       "\n",
+       ".gate_in:before{\n",
+       "    left: -12px;\n",
+       "}\n",
+       ".gate_out:after{\n",
+       "    right: -12px;\n",
+       "}\n",
+       ".gate_top.gate_in:before, .gate_top.gate_out:after{\n",
+       "    top:calc(50% - 6.5px)\n",
+       "}\n",
+       ".gate_bottom.gate_in:before, .gate_bottom.gate_out:after{\n",
+       "    top:calc(50% + 4.5px)\n",
+       "}\n",
+       "\n",
+       "\n",
+       ".link-bottom, .link-top {\n",
+       "    height: var(--box-height);\n",
+       "    width: 0;\n",
+       "    border: 1px solid var(--wire-col);\n",
+       "    background: var(--wire-col);\n",
+       "    position: absolute;\n",
+       "    display: block;\n",
+       "    left: calc(50% - 1px);\n",
+       "    box-sizing: content-box;\n",
+       "}\n",
+       ".link-top{\n",
+       "    top: calc(0px - var(--box-height)/2);\n",
+       "}\n",
+       ".link-bottom{\n",
+       "    top: calc(var(--box-height)/2)\n",
+       "}\n",
+       ".half-link {\n",
+       "    height: calc(var(--box-height) - 9px);\n",
+       "}\n",
+       ".half-link.link-bottom{\n",
+       "    top: calc(var(--box-height)/2 + 11px)\n",
+       "}\n",
+       ".half-link.link-top{\n",
+       "    top: calc(-2px - var(--box-height)/2);\n",
+       "}\n",
+       ".link-bottom.measurement{\n",
+       "    width: 3px;\n",
+       "    left: calc(50% - 0.5px);\n",
+       "    border: none;\n",
+       "    background: var(--c-wire-col);\n",
+       "    height: calc(var(--box-height) + 2px);\n",
+       "    z-index: 1;\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "/* tool tips */\n",
+       ".tool-tip-container{\n",
+       "    margin: calc(0px - var(--box-height)) auto 0;\n",
+       "    padding-top: var(--box-height);\n",
+       "    position: relative;\n",
+       "    bottom: 0;\n",
+       "    left: 0;\n",
+       "    right: 0;\n",
+       "    height: 0;\n",
+       "    z-index: 4;\n",
+       "    width: fit-content;\n",
+       "    overflow: hidden;\n",
+       "}\n",
+       ".tool-tip-container.no-js{\n",
+       "    overflow: visible;\n",
+       "}\n",
+       ".tool-tip-container.no-js:hover{\n",
+       "    z-index: 10;\n",
+       "}\n",
+       ".nested > .tool-tip-container{\n",
+       "    position: absolute;\n",
+       "    bottom: -10px;\n",
+       "}\n",
+       ".tool-tip{\n",
+       "    visibility: hidden;\n",
+       "    opacity: 0;\n",
+       "    -webkit-transition: visibility 0.2s, opacity 0.2s;\n",
+       "    -moz-transition: visibility 0.2s, opacity 0.2s;\n",
+       "    transition: visibility 0.2s, opacity 0.2s;\n",
+       "    max-width: 250px;\n",
+       "}\n",
+       ".tool-tip-container.no-js:hover > .tool-tip{\n",
+       "    visibility: visible;\n",
+       "    opacity: 1;\n",
+       "}\n",
+       ".tool-tip-content{\n",
+       "    background: var(--main-bg);\n",
+       "    margin: 0 auto;\n",
+       "    width: -moz-fit-content;\n",
+       "    width: fit-content;\n",
+       "    max-width: 100%;\n",
+       "}\n",
+       ".no-js > .tool-tip > .tool-tip-content{\n",
+       "    height: auto;\n",
+       "    padding: 20px;\n",
+       "    margin: 0 auto;\n",
+       "}\n",
+       ".tool-tip-container.no-js:hover > .tool-tip > .tool-tip-content,\n",
+       ".no-js > tool-tip > .tool-tip-content:hover{\n",
+       "    box-shadow: 0 -5px 20px 5px var(--faint-col-overlay);\n",
+       "}\n",
+       ".tool-tip:after{\n",
+       "    content: \" \";\n",
+       "    position: absolute;\n",
+       "    bottom: 0;\n",
+       "    left: 50%;\n",
+       "    margin-left: -5px;\n",
+       "    border-width: 5px;\n",
+       "    border-style: solid;\n",
+       "    border-color: transparent transparent var(--main-bg) transparent;\n",
+       "}\n",
+       ".tool-tip .complex-number{\n",
+       "    padding: 4px;\n",
+       "}\n",
+       ".tool-tip-content > .gate_container.nested{\n",
+       "    width: 100%;\n",
+       "    min-width: unset;\n",
+       "}\n",
+       ".nested-label-layer.as-height{\n",
+       "    padding: 0;\n",
+       "}\n",
+       ".tool-tip-content > .gate_container.nested > .nested-circuit-container,\n",
+       ".circuit-preview.condensed > .nested-circuit-container{\n",
+       "    background: transparent;\n",
+       "    border: none;\n",
+       "    width: 100%;\n",
+       "    min-width: unset;\n",
+       "    max-width: unset;\n",
+       "}\n",
+       "\n",
+       "/* Tool-tip modal */\n",
+       ".circuit-grid{\n",
+       "    display: flex;\n",
+       "    flex-direction: row-reverse;\n",
+       "    align-items: stretch;\n",
+       "    align-content: stretch;\n",
+       "}\n",
+       ".circuit-grid-circuit{\n",
+       "    flex: 1 1 auto;\n",
+       "    margin-top: 30px;\n",
+       "    overflow: auto;\n",
+       "    max-height: inherit;\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "/*  FOR DISPLAYING CHARTS  */\n",
+       "table{\n",
+       "    border-collapse: collapse;\n",
+       "}\n",
+       ".table-container{\n",
+       "    margin: auto;\n",
+       "}\n",
+       ".bar-chart-container{\n",
+       "    min-width: 300px;\n",
+       "    width: 60%;\n",
+       "}\n",
+       ".square-chart-container{\n",
+       "    width: auto;\n",
+       "    min-width: 0;\n",
+       "    overflow: hidden;\n",
+       "}\n",
+       "\n",
+       "/* Make sure we can see the rightmost border */\n",
+       ".square-chart-container tbody{\n",
+       "    position: relative;\n",
+       "    left: -1px;\n",
+       "    display: block;\n",
+       "}\n",
+       "thead > tr{\n",
+       "    background: transparent !important;\n",
+       "}\n",
+       "tr:hover, tr {\n",
+       "    background: initial !important;\n",
+       "}\n",
+       "\n",
+       "td, th{\n",
+       "    padding: 10px;\n",
+       "    position: relative;\n",
+       "}\n",
+       "\n",
+       "/* COMPLEX NUMBERS AND MATRICES */\n",
+       ".complex-number{\n",
+       "    padding: 10px;\n",
+       "}\n",
+       ".mid-number{\n",
+       "    padding: 5px;\n",
+       "    font-size: 0.75em;\n",
+       "}\n",
+       ".large-number{\n",
+       "    padding: 2px;\n",
+       "    font-size: 0.75em;\n",
+       "}\n",
+       ".matrix_container{\n",
+       "    border: 2px solid var(--mid-col);\n",
+       "    border-top: 0;\n",
+       "    border-bottom: 0;\n",
+       "    margin: auto !important;\n",
+       "    border-collapse: collapse;\n",
+       "    text-align: center;\n",
+       "}\n",
+       "\n",
+       "\n",
+       "/* LIST RESULTS NICELY */\n",
+       ".list{\n",
+       "    flex-wrap: wrap;\n",
+       "    justify-content: space-evenly;\n",
+       "    align-items: stretch;\n",
+       "    padding: 0;\n",
+       "}\n",
+       ".list > *{\n",
+       "    margin: 10px;\n",
+       "}\n",
+       ".list > .row-sub-heading{\n",
+       "    margin: 10px 0;\n",
+       "}\n",
+       "</style>\n",
+       "\n",
+       "</head>\n",
+       "<body>\n",
+       "    <div class=\"row circuit-grid circuit__preview-body\">\n",
+       "        <div class=\"circuit-grid-circuit thin-scrollbar\"  style=\"\">\n",
+       "            \n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "\n",
+       "    <div class=\"circuit-preview circuit_variables condensed\">\n",
+       "        \n",
+       "            \n",
+       "            <div class=\"nested-label-layer as-height\">\n",
+       "                \n",
+       "                    <div class=\"wire-label\"></div>\n",
+       "                \n",
+       "                    <div class=\"wire-label\"></div>\n",
+       "                \n",
+       "                    <div class=\"wire-label\"></div>\n",
+       "                \n",
+       "                    <div class=\"wire-label\"></div>\n",
+       "                \n",
+       "                    <div class=\"wire-label\"></div>\n",
+       "                \n",
+       "                    <div class=\"wire-label\"></div>\n",
+       "                \n",
+       "                    <div class=\"wire-label\"></div>\n",
+       "                \n",
+       "                    <div class=\"wire-label\"></div>\n",
+       "                \n",
+       "                    <div class=\"wire-label\"></div>\n",
+       "                \n",
+       "                    <div class=\"wire-label\"></div>\n",
+       "                \n",
+       "                    <div class=\"wire-label\"></div>\n",
+       "                \n",
+       "                    <div class=\"wire-label\"></div>\n",
+       "                \n",
+       "                    <div class=\"wire-label\"></div>\n",
+       "                \n",
+       "            </div>\n",
+       "            <div class=\"nested-circuit-container\"><div class=\"circuit-inner-scroll\">\n",
+       "        \n",
+       "        <div class=\"circuit-container nested\">\n",
+       "            <div class=\"circuit-layer qubits\">\n",
+       "        \n",
+       "            <div class=\"qubit\">q[0]</div>\n",
+       "        \n",
+       "            <div class=\"qubit\">q[1]</div>\n",
+       "        \n",
+       "            <div class=\"qubit\">q[2]</div>\n",
+       "        \n",
+       "            <div class=\"qubit\">q[3]</div>\n",
+       "        \n",
+       "            <div class=\"qubit\">q[4]</div>\n",
+       "        \n",
+       "            <div class=\"qubit\">q[5]</div>\n",
+       "        \n",
+       "            <div class=\"qubit\">q[6]</div>\n",
+       "        \n",
+       "        \n",
+       "            <div class=\"qubit bit\">c[0]</div>\n",
+       "        \n",
+       "            <div class=\"qubit bit\">c[1]</div>\n",
+       "        \n",
+       "            <div class=\"qubit bit\">c[2]</div>\n",
+       "        \n",
+       "            <div class=\"qubit bit\">c[3]</div>\n",
+       "        \n",
+       "            <div class=\"qubit bit\">c[4]</div>\n",
+       "        \n",
+       "            <div class=\"qubit bit\">c[5]</div>\n",
+       "        \n",
+       "    </div>\n",
+       "            \n",
+       "                <div class=\"circuit-layer hover-highlight-circuit\">\n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "            </div>\n",
+       "            \n",
+       "                <div class=\"circuit-layer hover-highlight-circuit\">\n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container nested\">\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "        <div class=\"gate_container x\">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">Rx(2*Alice__n_0)</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
+       "        </div>\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container nested\">\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "        <div class=\"gate_container h\">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">H</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
+       "        </div>\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container nested\">\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "        <div class=\"gate_container h\">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">H</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
+       "        </div>\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container nested\">\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "        <div class=\"gate_container h\">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">H</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
+       "        </div>\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container nested\">\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "        <div class=\"gate_container h\">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">H</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
+       "        </div>\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container nested\">\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "        <div class=\"gate_container h\">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">H</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
+       "        </div>\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container nested\">\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "        <div class=\"gate_container x\">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">Rx(2*car__n_0)</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
+       "        </div>\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "            </div>\n",
+       "            \n",
+       "                <div class=\"circuit-layer hover-highlight-circuit\">\n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container nested\">\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "        <div class=\"gate_container z\">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">Rz(2*Alice__n_1)</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
+       "        </div>\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "                            \n",
+       "    \n",
+       "        \n",
+       "        \n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "                <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "                \n",
+       "                <div class=\"gate gate_control z\"></div>\n",
+       "                \n",
+       "            </div>\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "                        \n",
+       "                            \n",
+       "    \n",
+       "        \n",
+       "        \n",
+       "            \n",
+       "            \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container nested\">\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "        <div class=\"gate_container z\">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">Rz(2*repairs__n.r@s@n.l_0)</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
+       "                <div class=\"link-top\"></div>\n",
+       "            \n",
+       "        </div>\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "\n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "                        \n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "                            \n",
+       "    \n",
+       "        \n",
+       "        \n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "                <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "                \n",
+       "                <div class=\"gate gate_control z\"></div>\n",
+       "                \n",
+       "            </div>\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "                        \n",
+       "                            \n",
+       "    \n",
+       "        \n",
+       "        \n",
+       "            \n",
+       "            \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container nested\">\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "        <div class=\"gate_container z\">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">Rz(2*the__n@n.l_0)</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
+       "                <div class=\"link-top\"></div>\n",
+       "            \n",
+       "        </div>\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "\n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "                        \n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container nested\">\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "        <div class=\"gate_container z\">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">Rz(2*car__n_1)</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
+       "        </div>\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "            </div>\n",
+       "            \n",
+       "                <div class=\"circuit-layer hover-highlight-circuit\">\n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container nested\">\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "        <div class=\"gate_container x\">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">Rx(2*Alice__n_2)</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
+       "        </div>\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container nested\">\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "        <div class=\"gate_container h\">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">H</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
+       "        </div>\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "                            \n",
+       "    \n",
+       "        \n",
+       "        \n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "                <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "                \n",
+       "                <div class=\"gate gate_control z\"></div>\n",
+       "                \n",
+       "            </div>\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "                        \n",
+       "                            \n",
+       "    \n",
+       "        \n",
+       "        \n",
+       "            \n",
+       "            \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container nested\">\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "        <div class=\"gate_container z\">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">Rz(2*repairs__n.r@s@n.l_1)</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
+       "                <div class=\"link-top\"></div>\n",
+       "            \n",
+       "        </div>\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "\n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "                        \n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container nested\">\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "        <div class=\"gate_container h\">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">H</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
+       "        </div>\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container nested\">\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "        <div class=\"gate_container h\">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">H</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
+       "        </div>\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container nested\">\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "        <div class=\"gate_container x\">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">Rx(2*car__n_2)</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
+       "        </div>\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "            </div>\n",
+       "            \n",
+       "                <div class=\"circuit-layer hover-highlight-circuit\">\n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container nested\">\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "        <div class=\"gate_container h\">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">H</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
+       "        </div>\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container nested\">\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "        <div class=\"gate_container h\">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">H</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
+       "        </div>\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "                            \n",
+       "    \n",
+       "        \n",
+       "        \n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "                <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "                \n",
+       "                <div class=\"gate gate_control z\"></div>\n",
+       "                \n",
+       "            </div>\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "                        \n",
+       "                            \n",
+       "    \n",
+       "        \n",
+       "        \n",
+       "            \n",
+       "            \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container nested\">\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "        <div class=\"gate_container z\">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">Rz(2*the__n@n.l_1)</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
+       "                <div class=\"link-top\"></div>\n",
+       "            \n",
+       "        </div>\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "\n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "                        \n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "            </div>\n",
+       "            \n",
+       "                <div class=\"circuit-layer hover-highlight-circuit\">\n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "                            \n",
+       "    \n",
+       "        \n",
+       "        \n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "                <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "                \n",
+       "                <div class=\"gate gate_control z\"></div>\n",
+       "                \n",
+       "            </div>\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "                        \n",
+       "                            \n",
+       "    \n",
+       "        \n",
+       "        \n",
+       "            \n",
+       "            \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container nested\">\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "        <div class=\"gate_container z\">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">Rz(2*repairs__n.r@s@n.l_2)</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
+       "                <div class=\"link-top\"></div>\n",
+       "            \n",
+       "        </div>\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "\n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "                        \n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "                            \n",
+       "    \n",
+       "        \n",
+       "        \n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "                <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "                \n",
+       "                <div class=\"gate gate_control z\"></div>\n",
+       "                \n",
+       "            </div>\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "                        \n",
+       "                            \n",
+       "    \n",
+       "        \n",
+       "        \n",
+       "            \n",
+       "            \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container nested\">\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "        <div class=\"gate_container x\">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">X</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
+       "                <div class=\"link-top\"></div>\n",
+       "            \n",
+       "        </div>\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "\n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "                        \n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "            </div>\n",
+       "            \n",
+       "                <div class=\"circuit-layer hover-highlight-circuit\">\n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        <div class=\"gate_container\">\n",
+       "        \n",
+       "            <div class=\"link-bottom measurement\"></div>\n",
+       "        \n",
+       "        \n",
+       "\n",
+       "        <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        <div class=\"gate gate_connection gate_measure\"></div>\n",
+       "        \n",
+       "            <div class=\"control_index measure z\">z</div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        \n",
+       "            <div class=\"link-bottom measurement\"></div>\n",
+       "        \n",
+       "        \n",
+       "\n",
+       "        <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        <div class=\"gate gate_connection \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "        <div class=\"gate_container\">\n",
+       "        \n",
+       "        \n",
+       "\n",
+       "        <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        <div class=\"gate gate_connection \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "            </div>\n",
+       "            \n",
+       "                <div class=\"circuit-layer hover-highlight-circuit\">\n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "                            \n",
+       "    \n",
+       "        \n",
+       "        \n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "                <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "                \n",
+       "                <div class=\"gate gate_control z\"></div>\n",
+       "                \n",
+       "            </div>\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "                        \n",
+       "                            \n",
+       "    \n",
+       "        \n",
+       "        \n",
+       "            \n",
+       "            \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container nested\">\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "        <div class=\"gate_container x\">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">X</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
+       "                <div class=\"link-top\"></div>\n",
+       "            \n",
+       "        </div>\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "\n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "                        \n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "                            \n",
+       "    \n",
+       "        \n",
+       "        \n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "                <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "                \n",
+       "                <div class=\"gate gate_control z\"></div>\n",
+       "                \n",
+       "            </div>\n",
+       "            \n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "                        \n",
+       "                            \n",
+       "    \n",
+       "        \n",
+       "        \n",
+       "            \n",
+       "            \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container nested\">\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "        <div class=\"gate_container z\">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">Rz(2*repairs__n.r@s@n.l_3)</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
+       "                <div class=\"link-top\"></div>\n",
+       "            \n",
+       "        </div>\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "\n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "                        \n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container nested\">\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "        <div class=\"gate_container h\">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">H</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
+       "        </div>\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "            </div>\n",
+       "            \n",
+       "                <div class=\"circuit-layer hover-highlight-circuit\">\n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        <div class=\"gate_container\">\n",
+       "        \n",
+       "            <div class=\"link-bottom measurement\"></div>\n",
+       "        \n",
+       "        \n",
+       "\n",
+       "        <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        <div class=\"gate gate_connection gate_measure\"></div>\n",
+       "        \n",
+       "            <div class=\"control_index measure z\">z</div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        \n",
+       "            <div class=\"link-bottom measurement\"></div>\n",
+       "        \n",
+       "        \n",
+       "\n",
+       "        <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        <div class=\"gate gate_connection \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "        <div class=\"gate_container\">\n",
+       "        \n",
+       "        \n",
+       "\n",
+       "        <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        <div class=\"gate gate_connection \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "            </div>\n",
+       "            \n",
+       "                <div class=\"circuit-layer hover-highlight-circuit\">\n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        <div class=\"gate_container\">\n",
+       "        \n",
+       "            <div class=\"link-bottom measurement\"></div>\n",
+       "        \n",
+       "        \n",
+       "\n",
+       "        <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        <div class=\"gate gate_connection gate_measure\"></div>\n",
+       "        \n",
+       "            <div class=\"control_index measure z\">z</div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        \n",
+       "            <div class=\"link-bottom measurement\"></div>\n",
+       "        \n",
+       "        \n",
+       "\n",
+       "        <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        <div class=\"gate gate_connection \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        \n",
+       "            <div class=\"link-bottom measurement\"></div>\n",
+       "        \n",
+       "        \n",
+       "\n",
+       "        <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        <div class=\"gate gate_connection \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        \n",
+       "            <div class=\"link-bottom measurement\"></div>\n",
+       "        \n",
+       "        \n",
+       "\n",
+       "        <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        <div class=\"gate gate_connection \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        \n",
+       "            <div class=\"link-bottom measurement\"></div>\n",
+       "        \n",
+       "        \n",
+       "\n",
+       "        <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        <div class=\"gate gate_connection \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        \n",
+       "            <div class=\"link-bottom measurement\"></div>\n",
+       "        \n",
+       "        \n",
+       "\n",
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+       "\n",
+       "    \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container nested\">\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "        <div class=\"gate_container h\">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">H</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
+       "        </div>\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "            </div>\n",
+       "            \n",
+       "                <div class=\"circuit-layer hover-highlight-circuit\">\n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        <div class=\"gate_container\">\n",
+       "        \n",
+       "            <div class=\"link-bottom measurement\"></div>\n",
+       "        \n",
+       "        \n",
+       "\n",
+       "        <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        <div class=\"gate gate_connection gate_measure\"></div>\n",
+       "        \n",
+       "            <div class=\"control_index measure z\">z</div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        \n",
+       "            <div class=\"link-bottom measurement\"></div>\n",
+       "        \n",
+       "        \n",
+       "\n",
+       "        <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        <div class=\"gate gate_connection \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        \n",
+       "            <div class=\"link-bottom measurement\"></div>\n",
+       "        \n",
+       "        \n",
+       "\n",
+       "        <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        <div class=\"gate gate_connection \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        \n",
+       "            <div class=\"link-bottom measurement\"></div>\n",
+       "        \n",
+       "        \n",
+       "\n",
+       "        <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        <div class=\"gate gate_connection \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        \n",
+       "            <div class=\"link-bottom measurement\"></div>\n",
+       "        \n",
+       "        \n",
+       "\n",
+       "        <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        <div class=\"gate gate_connection \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        \n",
+       "            <div class=\"link-bottom measurement\"></div>\n",
+       "        \n",
+       "        \n",
+       "\n",
+       "        <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        <div class=\"gate gate_connection \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "        <div class=\"gate_container\">\n",
+       "        \n",
+       "        \n",
+       "\n",
+       "        <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        <div class=\"gate gate_connection \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "            </div>\n",
+       "            \n",
+       "                <div class=\"circuit-layer hover-highlight-circuit\">\n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "            </div>\n",
+       "            \n",
+       "            <div class=\"circuit-layer qubits\">\n",
+       "        \n",
+       "            <div class=\"qubit\">q[0]</div>\n",
+       "        \n",
+       "            <div class=\"qubit\">q[1]</div>\n",
+       "        \n",
+       "            <div class=\"qubit\">q[2]</div>\n",
+       "        \n",
+       "            <div class=\"qubit\">q[3]</div>\n",
+       "        \n",
+       "            <div class=\"qubit\">q[4]</div>\n",
+       "        \n",
+       "            <div class=\"qubit\">q[5]</div>\n",
+       "        \n",
+       "            <div class=\"qubit\">q[6]</div>\n",
+       "        \n",
+       "        \n",
+       "            <div class=\"qubit bit\">c[0]</div>\n",
+       "        \n",
+       "            <div class=\"qubit bit\">c[1]</div>\n",
+       "        \n",
+       "            <div class=\"qubit bit\">c[2]</div>\n",
+       "        \n",
+       "            <div class=\"qubit bit\">c[3]</div>\n",
+       "        \n",
+       "            <div class=\"qubit bit\">c[4]</div>\n",
+       "        \n",
+       "            <div class=\"qubit bit\">c[5]</div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "        \n",
+       "            </div></div>\n",
+       "        \n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "\n",
+       "\n",
+       "        </div>\n",
+       "    </div>\n",
+       "</body>\n",
+       "</html>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "tket_circuit = ansatz(diagram).to_tk()\n",
+    "render_circuit_jupyter(tket_circuit)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fef72816-4bf4-4a2f-9669-5822587cbecc",
+   "metadata": {},
+   "source": [
+    "We can see how many parameters are needed for each word depending of the dimensionality assigned to N and S spaces, once the circuit has been rewritten. And it is also possible replacing the free parameters by values as it is done in the cell below."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "22a49d4d-f936-4e1f-91ec-9b82345c0f1e",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{Alice__n_0: 0,\n",
+       " Alice__n_1: 1,\n",
+       " Alice__n_2: 2,\n",
+       " car__n_0: 3,\n",
+       " car__n_1: 4,\n",
+       " car__n_2: 5,\n",
+       " repairs__n.r@s@n.l_0: 6,\n",
+       " repairs__n.r@s@n.l_1: 7,\n",
+       " repairs__n.r@s@n.l_2: 8,\n",
+       " repairs__n.r@s@n.l_3: 9,\n",
+       " the__n@n.l_0: 10,\n",
+       " the__n@n.l_1: 11}"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from sympy import default_sort_key\n",
+    "\n",
+    "parameters = sorted(tket_circuit.free_symbols(), key=default_sort_key)\n",
+    "\n",
+    "param_dict = {p: i * 1 for i, p in enumerate(parameters)}\n",
+    "param_dict"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0f7f62fa-3bf5-44b1-8891-e585f84faa5e",
+   "metadata": {},
+   "source": [
+    "## Dressed Quantum Circuits"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 281,
+   "id": "1b88b55e-0c37-4196-bd68-a8326d7f033f",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "execution_count": 281,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from IPython.display import Image\n",
+    "Image(filename='dressed diagram.png') "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 282,
+   "id": "5c736fac-81ce-4e06-8939-8f416103ba91",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "class QSentence:\n",
+    "    \n",
+    "    def __init__(self, sentence_string, n_dim, s_dim, depth=1, label=None):\n",
+    "        self.label=label\n",
+    "        self.n = AtomicType.NOUN\n",
+    "        self.s = AtomicType.SENTENCE\n",
+    "        self.string = sentence_string\n",
+    "        \n",
+    "        self.parser = DepCCGParser()\n",
+    "        self.diagram = self.parser.sentence2diagram(self.string)\n",
+    "        \n",
+    "        self.ansatz = IQPAnsatz({N: n_dim, S: s_dim}, n_layers=depth)\n",
+    "        self.discopy_circuit = self.ansatz(self.diagram)\n",
+    "        self.tk_circuit = self.discopy_circuit.to_tk()\n",
+    "        self.parameters = sorted(self.tk_circuit.free_symbols(), key=default_sort_key)\n",
+    "        self.embeddings = self.get_sentence_BERT_embeddings()\n",
+    "        \n",
+    "    \n",
+    "        \n",
+    "\n",
+    "    def set_parameters(q_tensor_params):\n",
+    "        parameters = sorted(tket_circuit.free_symbols(), key=default_sort_key)\n",
+    "        param_dict = {p: i for i, p in zip(parameters, pre_out_params)}\n",
+    "        param_dict\n",
+    "        \n",
+    "        \n",
+    "    \n",
+    "    def get_sentence_BERT_embeddings(self):\n",
+    "        SentenceList = self.string\n",
+    "        Sentences_Embeddings = []\n",
+    "        if type(SentenceList) == str:\n",
+    "            SentenceList = [SentenceList]\n",
+    "        for sentence in SentenceList:\n",
+    "            tokenized_text, tokens_tensor, segments_tensors = bert_text_preparation(sentence, tokenizer)\n",
+    "            list_token_embeddings = get_bert_embeddings(tokens_tensor, segments_tensors, model)\n",
+    "            nwords = len(sentence.split(\" \"))\n",
+    "\n",
+    "            word_embeddings = []\n",
+    "            for word in sentence.split(\" \"):\n",
+    "                word_index = tokenized_text.index(word.lower().replace(\".\",\"\"))\n",
+    "                word_embeddings.append(list_token_embeddings[word_index])\n",
+    "\n",
+    "            Sentences_Embeddings.append(word_embeddings)\n",
+    "        return Sentences_Embeddings\n",
+    "        \n",
+    "        \n",
+    "\n",
+    "    def GetNParamsWord(self):\n",
+    "        w=0\n",
+    "        params_per_word=[0]\n",
+    "        for i, param in enumerate(self.parameters):\n",
+    "\n",
+    "            word = param.name.split(\"__\")[0]\n",
+    "            if i==0:\n",
+    "                prev_word=word\n",
+    "            if word==prev_word:\n",
+    "                    params_per_word[w]+=1\n",
+    "            else:\n",
+    "                w+=1\n",
+    "                params_per_word.append(1)\n",
+    "                prev_word=word\n",
+    "        return params_per_word\n",
+    "\n",
+    "    \n",
+    "    \n",
+    "class DiscoPyCircuit:\n",
+    "    \n",
+    "    def __init__(self, QSentence):\n",
+    "        self.circuit = QSentence.ansatz(QSentence.diagram)\n",
+    "        self.tket_circuit = self.circuit.to_tk()\n",
+    "        self.parameters = sorted(self.tket_circuit.free_symbols(), key=default_sort_key)\n",
+    "        \n",
+    "     \n",
+    "        "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 283,
+   "id": "8128185c-2b3e-47c9-8a32-249a13731600",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "BertDim = 768\n",
+    "class DressedQuantumNet(nn.Module):\n",
+    " #This class implements the pre processing neural network needed to reduce the dimensionality of BERT embeddings.\n",
+    "#A dimension for an intermediate representation, as well as the max and min numbers of parameters that are expected\n",
+    "#to appear in the circuits is also provided. A different number of layers will be applied depending of the \n",
+    "#numbers of parameters needed to encode that word.\n",
+    "\n",
+    "#When the circuit is run using pytket and AerBackend(), the tensor network nature of the parameters is lost, and all we\n",
+    "#is a classical bitstring and some probabilities. Alternative options like using differentiable Pennylane circuits \n",
+    "#could solve this issue. An interface between Pennylane and tket exists and it is worth looking into it. \n",
+    "\n",
+    "    def __init__(self, Sentence):\n",
+    "        \n",
+    "        super().__init__()\n",
+    "        intermediate_dimension= 20\n",
+    "        max_param = 5\n",
+    "        min_param = 1\n",
+    "        self.Sentence = Sentence\n",
+    "        self.QNParamWords = Sentence.GetNParamsWord()\n",
+    "        self.pre_net = nn.Linear(BertDim, intermediate_dimension)\n",
+    "        self.pre_net_max_params = nn.Linear(intermediate_dimension, max_param)\n",
+    "        self.cascade_layers = []\n",
+    "        \n",
+    "        #CASCADE LAYERS: Consecutive layers reduce the number of parameters until getting the desired number\n",
+    "        #for that specific word\n",
+    "        \n",
+    "        for layer in range(max_param,min_param,-1):\n",
+    "            self.cascade_layers.append(nn.Linear(layer, layer-1))\n",
+    "            \n",
+    "            \n",
+    "    def forward(self):\n",
+    "        print(self.Sentence.string)\n",
+    "        sentence_q_params = []\n",
+    "        for i, embedding in enumerate(self.Sentence.embeddings[0]):\n",
+    "            n_q_params = self.QNParamWords[i]\n",
+    "            pre_out = self.pre_net(torch.tensor(embedding))\n",
+    "            pre_out = self.pre_net_max_params(pre_out)\n",
+    "            for j, layer in enumerate(self.cascade_layers):\n",
+    "                layer_n_out = layer.out_features\n",
+    "                if n_q_params <= layer_n_out:\n",
+    "                    pre_out = self.cascade_layers[j](pre_out)\n",
+    "            q_in = torch.tanh(pre_out) * np.pi / 2.0  \n",
+    "            sentence_q_params.append(q_in)\n",
+    "        qparams = torch.cat(sentence_q_params)\n",
+    "        self.qparams = qparams\n",
+    "        parameters = self.Sentence.tk_circuit.free_symbols()\n",
+    "        self.parameters = parameters\n",
+    "        param_dict = {p: q for p, q in zip(parameters, qparams)}\n",
+    "        MyCirc = self.Sentence.tk_circuit\n",
+    "        s_qubits = self.Measure_s_qubits(MyCirc)\n",
+    "        MyCirc.symbol_substitution(param_dict)\n",
+    "        backend = AerBackend()\n",
+    "        backend.compile_circuit(MyCirc)\n",
+    "\n",
+    "        handle = backend.process_circuit(MyCirc, n_shots=2000)\n",
+    "        counts = backend.get_result(handle).get_counts()\n",
+    "        result_dict = self.get_norm_circuit_output(counts, s_qubits)\n",
+    "        all_bitstrings = self.calculate_bitstring(s_qubits)\n",
+    "        for bitstring in all_bitstrings:\n",
+    "            if bitstring not in result_dict.keys():\n",
+    "                result_dict[bitstring] = 0\n",
+    "        return list(result_dict.values())\n",
+    "    \n",
+    "\n",
+    "    \n",
+    "    \n",
+    "    \n",
+    "    def Measure_s_qubits(self, Circuit):\n",
+    "        #In the DisCoCat pytket circuits the sentence qubits are not measured, and thus additional measurements\n",
+    "        #need to be performed. Otherwise, we will get bitsrings shorter than the number of qubits of the circuits, \n",
+    "        #corresponding only to the post selected ones.\n",
+    "        s_qubits=[]\n",
+    "        for qubit in Circuit.qubits:\n",
+    "            if qubit not in list(Circuit.qubit_readout.keys()):\n",
+    "                s_qubits.append(qubit.index[0])\n",
+    "        n_post_select = len(Circuit.bit_readout.keys())\n",
+    "        for i, s_qubit in enumerate(s_qubits):\n",
+    "            Circuit.add_bit(Bit(\"c\", n_post_select+i))\n",
+    "        sen_c_regs = list(Circuit.bit_readout.keys())[n_post_select:]\n",
+    "        for i, qubit in enumerate(s_qubits):\n",
+    "            bit = list(Circuit.bit_readout.keys()).index(sen_c_regs[i])\n",
+    "            Circuit.Measure(qubit, bit)\n",
+    "        return sen_c_regs\n",
+    "\n",
+    "    \n",
+    "    def satisfy_post_selection(self,post_selection, result):\n",
+    "        #This is used to tell if the output bitstrings satify the post selection conditions given by the ciruit.\n",
+    "        for index, value in enumerate(result):\n",
+    "            if index in post_selection:\n",
+    "                if value != post_selection[index]:\n",
+    "                    return False\n",
+    "        return True\n",
+    "\n",
+    "    def list2bitstring(self,bitlist):\n",
+    "        bitstring=str()\n",
+    "        for i in bitlist:\n",
+    "            bitstring+=str(i)\n",
+    "        return bitstring\n",
+    "\n",
+    "    def norm_probs(self,prob_result):\n",
+    "        tot = sum(list(prob_result.values()))\n",
+    "        for bitstring in prob_result.keys():\n",
+    "            prob_result[bitstring]/=tot\n",
+    "        return prob_result\n",
+    "\n",
+    "    def get_norm_circuit_output(self, counts, s_qubits):\n",
+    "        prob_result=dict()\n",
+    "        for bits in probs_from_counts(counts).keys():\n",
+    "            post_selected = self.satisfy_post_selection(self.Sentence.tk_circuit.post_selection, bits)\n",
+    "            if post_selected==True:\n",
+    "                s_qubits_index = []\n",
+    "                for qubit in s_qubits:\n",
+    "                    s_qubits_index.append(qubit.index[0])\n",
+    "                bitlist = list( bits[i] for i in s_qubits_index)\n",
+    "                bitstring = self.list2bitstring(bitlist)\n",
+    "                prob_result[bitstring] = probs_from_counts(counts)[bits]\n",
+    "        return self.norm_probs(prob_result)\n",
+    "    \n",
+    "\n",
+    "    def calculate_bitstring(self, s_qubits):\n",
+    "        import itertools\n",
+    "        n = len(s_qubits)\n",
+    "        lst = list(itertools.product([0, 1], repeat=n))\n",
+    "        all_bitstrings = []\n",
+    "        for element in lst:\n",
+    "            string = \"\"\n",
+    "            for bit in element:\n",
+    "                string+=str(bit)\n",
+    "            all_bitstrings.append(string)\n",
+    "        return all_bitstrings\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "158737f2-ecfb-427a-8197-18efbcf479b8",
+   "metadata": {},
+   "source": [
+    "## Sentence pipeline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 274,
+   "id": "17200ced-4bf4-4c81-824c-2cbe795536f0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pytket import Circuit, Qubit, Bit\n",
+    "from pytket.extensions.qiskit import AerBackend\n",
+    "from pytket.utils import probs_from_counts"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 279,
+   "id": "2932b258-06a8-4a09-a8e5-5ebaec46af89",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Alice repairs car\n"
+     ]
+    }
+   ],
+   "source": [
+    "Sentences = [\"Alice repairs car\", \"The child that plays in the park knows that my mother is a teacher\"]\n",
+    "Dataset = []\n",
+    "for sentence in Sentences:\n",
+    "    Dataset.append(QSentence(sentence, n_dim=1, s_dim=1, depth = 1)) \n",
+    "entry=0\n",
+    "DressedNet = DressedQuantumNet(Dataset[entry])\n",
+    "counts = DressedNet.forward()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 276,
+   "id": "d5544fa1-404f-4a10-b52d-28a25cd7856f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The DisCoCat diagram for the sentence parsed by Lambeq\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Now the diagram is rewritten as a circuit using the IQP Ansatz and tensor methods\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x1080 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      " Names of the parameters needed to encode the sentence in a DisCoCat circuit\n",
+      "Alice__n_0\n",
+      "car__n_0\n",
+      "Alice__n_2\n",
+      "repairs__n.r@s@n.l_1\n",
+      "car__n_2\n",
+      "repairs__n.r@s@n.l_0\n",
+      "car__n_1\n",
+      "repairs__n.r@s@n.l_2\n",
+      "Alice__n_1\n",
+      "\n",
+      " Values of the parameters after reducing the dimensionaility of the BERT embeddings\n",
+      "tensor([-0.9673,  0.6634,  0.3393, -0.8817,  0.5838,  0.2724, -0.9213,  0.6298,\n",
+      "         0.3163], grad_fn=<CatBackward0>)\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"The DisCoCat diagram for the sentence parsed by Lambeq\")\n",
+    "Dataset[entry].diagram.draw()\n",
+    "\n",
+    "print(\"Now the diagram is rewritten as a circuit using the IQP Ansatz and tensor methods\")\n",
+    "Dataset[entry].discopy_circuit.draw(figsize=(10, 15))\n",
+    "\n",
+    "print(\"\\n Names of the parameters needed to encode the sentence in a DisCoCat circuit\")\n",
+    "\n",
+    "for param in DressedNet.parameters:\n",
+    "    print(param)\n",
+    "\n",
+    "print(\"\\n Values of the parameters after reducing the dimensionaility of the BERT embeddings\")\n",
+    "print(DressedNet.qparams)\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2d45ab1b-e8ed-48a9-8385-56f68b5165c1",
+   "metadata": {},
+   "source": [
+    "After running the circuit and appliying the required post-processing, a binary output is obtained that can be used in a machine learning pipeline as a loss function given labeled sentences."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 278,
+   "id": "5ce7520a-5b99-4cb6-b30d-e3982be0a1ff",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[0.1149425287356322, 0.0574712643678161, 0.3908045977011495, 0.4367816091954023]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(counts)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "885708bc-feee-4838-b7e6-674169aefce9",
+   "metadata": {},
+   "source": [
+    "The circuit can be displayed and now the parameters have been replaced by the values obtained using the preprocessing Neural Network. The gates are displayed as tridimensional rotations."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1103,
+   "id": "c2ee4903-da00-4313-acf0-7ab57115ac92",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "<!DOCTYPE html>\n",
+       "<html lang=\"en\">\n",
+       "<head>\n",
+       "    <meta charset=\"UTF-8\">\n",
+       "    \n",
+       "<style>\n",
+       "body, .circuit__preview-body {\n",
+       "    font-family: \"roboto\", system-ui, sans-serif;\n",
+       "    --accent-col: green;\n",
+       "    --accent-col-fill: darkseagreen;\n",
+       "    --accent-col-alt: #aca;\n",
+       "    --accent-col-emph: limegreen;\n",
+       "    --accent-col-overlay: rgba(130,255,140,0.2);\n",
+       "    --accent-col-outline: rgba(30, 250, 30,0.2);\n",
+       "    --main-col: black;\n",
+       "    --mid-col: #bbb;\n",
+       "    --faint-col: #eee;\n",
+       "    --faint-col-overlay: rgba(0, 0, 0, 0.05);\n",
+       "    --main-bg: white;\n",
+       "}\n",
+       "\n",
+       ".row{\n",
+       "    display: flex;\n",
+       "    flex-wrap: wrap;\n",
+       "    align-items: center;\n",
+       "    padding: 10px;\n",
+       "    border-bottom: 1px solid var(--faint-col);\n",
+       "    position: relative;\n",
+       "}\n",
+       ".row-item{\n",
+       "    flex-grow: 1\n",
+       "}\n",
+       ".row-item-l{\n",
+       "    text-align: left;\n",
+       "}\n",
+       ".row-item-r{\n",
+       "    text-align: right;\n",
+       "}\n",
+       ".row-sub-heading{\n",
+       "    border-color: var(--accent-col-emph);\n",
+       "}\n",
+       "\n",
+       "/* FOR DISPLAYING CIRCUITS */\n",
+       "/* Main preview container */\n",
+       ".circuit-preview {\n",
+       "    width: 100%;\n",
+       "    height: 100%;\n",
+       "    text-align: center;\n",
+       "    color: black;\n",
+       "}\n",
+       ".circuit_variables {\n",
+       "    /* Define some variables */\n",
+       "    --box-height: 40px;\n",
+       "    --wire-col: black;\n",
+       "    --c-wire-col: #bbb;\n",
+       "    --box-col: #ccc;\n",
+       "    --box-col-overlay: rgba(0,0,0,0.05);\n",
+       "    --c-box-col: #ddd;\n",
+       "    --index-col: #888;\n",
+       "}\n",
+       ".circuit-preview.condensed{\n",
+       "    display: flex;\n",
+       "    flex-wrap: nowrap;\n",
+       "}\n",
+       "\n",
+       "/* Box colours */\n",
+       ".h {\n",
+       "    --box-col: #ffee00;\n",
+       "    --box-col-overlay: rgba(255, 255, 0, 0.2);\n",
+       "    --c-box-col: #ffee88;\n",
+       "    --index-col: #ffcc00;\n",
+       "}\n",
+       ".x {\n",
+       "    --box-col: #ff8888;\n",
+       "    --box-col-overlay: rgba(255, 0, 0, 0.2);\n",
+       "    --c-box-col: #e8a6a6;\n",
+       "    --index-col: red;\n",
+       "}\n",
+       ".y {\n",
+       "    --box-col: #6699ff;\n",
+       "    --box-col-overlay: rgba(0, 0, 255, 0.2);\n",
+       "    --c-box-col: #86c6f6;\n",
+       "    --index-col: blue;\n",
+       "}\n",
+       ".z {\n",
+       "    --box-col: #ccffcc;\n",
+       "    --box-col-overlay: rgba(0, 255, 0, 0.2);\n",
+       "    --c-box-col: #e2ffe2;\n",
+       "    --index-col: green;\n",
+       "}\n",
+       "\n",
+       ".circuit-container{\n",
+       "    max-width: 100%;\n",
+       "    display: flex;\n",
+       "    flex-flow: row wrap;\n",
+       "    justify-content: center;\n",
+       "    align-content: flex-start;\n",
+       "    margin: auto;\n",
+       "    width: -moz-fit-content;\n",
+       "    width: fit-content;\n",
+       "    background: rgba(255, 255, 255, 1);\n",
+       "}\n",
+       ".circuit-preview.condensed > .circuit-container{\n",
+       "    flex-wrap: nowrap;\n",
+       "    min-width: fit-content;\n",
+       "}\n",
+       ".circuit-container.nested{\n",
+       "    position: relative;\n",
+       "    flex-wrap: nowrap;\n",
+       "    margin: -2px 0;\n",
+       "}\n",
+       ".nested-circuit-container{\n",
+       "    display: flex;\n",
+       "    overflow: auto;\n",
+       "    max-width: 400px;\n",
+       "    background: var(--box-col-overlay);\n",
+       "    border: 1px solid var(--box-col);\n",
+       "}\n",
+       ".nested-circuit-container::-webkit-scrollbar {\n",
+       "    height: 0;\n",
+       "    width: 0;\n",
+       "}\n",
+       ".circuit-inner-scroll{\n",
+       "    overflow: visible;\n",
+       "    width: -moz-fit-content;\n",
+       "    width: fit-content;\n",
+       "    margin: auto;\n",
+       "    margin-top: 2px;\n",
+       "}\n",
+       ".circuit-end{\n",
+       "    width: 2px;\n",
+       "    height: auto;\n",
+       "    border: 2px solid var(--wire-col);\n",
+       "    margin: calc(var(--box-height)/2) 0 calc(var(--box-height)/2 + 20px);\n",
+       "}\n",
+       ".circuit-layer{\n",
+       "    min-width: 40px;\n",
+       "    width: max-content;\n",
+       "    display: flex;\n",
+       "    flex-flow: column nowrap;\n",
+       "    flex-grow: 1;\n",
+       "    justify-content: space-between;\n",
+       "    align-items: stretch;\n",
+       "    margin-bottom: 20px;\n",
+       "}\n",
+       ".circuit-container:not(.nested) > .circuit-layer:nth-child(2),\n",
+       ".circuit-container:not(.nested) > .circuit-layer:nth-last-child(2),\n",
+       ".circuit-container.nested > .circuit-layer:nth-child(2),\n",
+       ".circuit-container.nested > .circuit-layer:nth-last-child(2),\n",
+       ".gate_container.nested > .circuit-layer:first-child,\n",
+       ".gate_container.nested > .circuit-layer:last-child{\n",
+       "    min-width: 10px;\n",
+       "}\n",
+       ".nested .circuit-layer{\n",
+       "    margin-bottom: 0;\n",
+       "}\n",
+       ".flex_wire{\n",
+       "    flex-grow: 1;\n",
+       "}\n",
+       "/* Display qubit names at start of circuit */\n",
+       ".circuit-layer.qubits{\n",
+       "    flex-grow: 0;\n",
+       "    color: var(--wire-col);\n",
+       "}\n",
+       ".qubit{\n",
+       "    height: calc(var(--box-height) - 20px);\n",
+       "    padding: 10px;\n",
+       "    text-align: center;\n",
+       "    font-family: monospace;\n",
+       "    box-sizing: content-box;\n",
+       "}\n",
+       ".wire{\n",
+       "    height: 0;\n",
+       "    border: 1px solid var(--wire-col);\n",
+       "    background: var(--wire-col);\n",
+       "    margin: calc(var(--box-height)/2) 0;\n",
+       "}\n",
+       ".wire.classical{\n",
+       "    border-color: var(--c-wire-col) !important;\n",
+       "    background: var(--c-wire-col) !important;\n",
+       "}\n",
+       ".wire.transparent-wire{\n",
+       "    border-color: transparent;\n",
+       "    background: transparent;\n",
+       "}\n",
+       "\n",
+       "/* Generic base for our gates */\n",
+       ".gate_container{\n",
+       "    position: relative;\n",
+       "    min-width: -moz-fit-content;\n",
+       "    min-width: fit-content;\n",
+       "}\n",
+       ".gate_container.nested{\n",
+       "    display: flex;\n",
+       "    flex-wrap: nowrap;\n",
+       "}\n",
+       ".gate_container.nested:after{\n",
+       "    display: flex;\n",
+       "    flex-wrap: nowrap;\n",
+       "}\n",
+       ".gate_container .classical{\n",
+       "    background: var(--c-box-col);\n",
+       "    border-color: var(--index-col);\n",
+       "}\n",
+       ".gate{\n",
+       "    position: relative;\n",
+       "    height: calc(var(--box-height) - 16px);\n",
+       "    margin: 0 9px;\n",
+       "    padding: 9px 5px;\n",
+       "    border: 1px solid var(--index-col);\n",
+       "    border-bottom: none;\n",
+       "    border-top: none;\n",
+       "    text-align: left;\n",
+       "    background: var(--box-col);\n",
+       "    display: flex;\n",
+       "    box-sizing: content-box;\n",
+       "    z-index: 1;\n",
+       "}\n",
+       ".wire-label{\n",
+       "    color: var(--index-col);\n",
+       "    width: -moz-fit-content;\n",
+       "    width: fit-content;\n",
+       "    height: calc(var(--box-height) - 18px);\n",
+       "    padding-right: 5px;\n",
+       "}\n",
+       ".gate_top > .wire-label,\n",
+       ".gate_bottom > .wire-label {\n",
+       "    padding-top: 0;\n",
+       "}\n",
+       ".nested-label-layer{\n",
+       "    background: var(--box-col);\n",
+       "    padding: 0 5px;\n",
+       "}\n",
+       ".nested-label-layer .wire-label{\n",
+       "    padding: 10px 0;\n",
+       "}\n",
+       "\n",
+       "/* Multi-qubit gates */\n",
+       ".gate_bottom{\n",
+       "    height: calc(var(--box-height) - 18px);\n",
+       "    margin-bottom: 10px;\n",
+       "    padding-bottom: 0;\n",
+       "    border-bottom: 1px solid var(--index-col);\n",
+       "}\n",
+       ".gate_top{\n",
+       "    height: calc(var(--box-height) - 18px);\n",
+       "    margin-top: 10px;\n",
+       "    padding-top: 0;\n",
+       "    border-top: 1px solid var(--index-col);\n",
+       "}\n",
+       ".gate_name{\n",
+       "    text-align: center;\n",
+       "    flex-grow: 1;\n",
+       "}\n",
+       "/* Single qubit gate*/\n",
+       ".gate_box{\n",
+       "    height: calc(var(--box-height) - 20px);\n",
+       "    margin: 10px;\n",
+       "    padding: 0 5px;\n",
+       "    border: 1px solid var(--index-col);\n",
+       "    text-align: center;\n",
+       "}\n",
+       "\n",
+       "/* Special gates */\n",
+       ".gate_connection {\n",
+       "    position: absolute;\n",
+       "    top: -3px;\n",
+       "    left: -1px;\n",
+       "    border: none;\n",
+       "    margin: calc(var(--box-height)/2) calc(50% - 5px);\n",
+       "    padding: 0;\n",
+       "}\n",
+       ".gate_swap {\n",
+       "    height: 20px;\n",
+       "    width: 20px;\n",
+       "    margin: calc(var(--box-height)/2 - 6px) calc(50% - 9px);\n",
+       "    background: url(\n",
+       "data:image/svg+xml;utf8,%0A%3C%21--%20Generated%20with%20http%3A//jxnblk.com/paths%20--%3E%0A%3Csvg%0A%20%20xmlns%3D%27http%3A//www.w3.org/2000/svg%27%0A%20%20viewBox%3D%270%200%2064%2064%27%0A%20%20width%3D%2764%27%20height%3D%2764%27%0A%20%20fill%3D%27currentcolor%27%3E%0A%20%20%3Cpath%20d%3D%27M60%200%20L32%2028%20L4%200%20L0%204%20L28%2032%20L0%2060%20L4%2064%20L32%2036%20L60%2064%20L64%2060%20L36%2032%20L64%204%27%20/%3E%0A%3C/svg%3E\n",
+       ") center;\n",
+       "    background-size: cover;\n",
+       "}\n",
+       ".gate_measure {\n",
+       "    height: 20px;\n",
+       "    width: 25px;\n",
+       "    margin: calc(var(--box-height)/2 - 10px) calc(50% - 11px);\n",
+       "    background: url(\n",
+       "data:image/svg+xml;utf8,%0A%3C%21--%20Generated%20with%20http%3A//jxnblk.com/paths%20--%3E%0A%3Csvg%0A%20%20xmlns%3D%27http%3A//www.w3.org/2000/svg%27%0A%20%20viewBox%3D%27-10%20-10%2084%2084%27%0A%20%20width%3D%2764%27%20height%3D%2764%27%0A%20%20fill%3D%27white%27%0A%20%20stroke%3D%22black%22%0A%20%20stroke-width%3D%224px%22%0A%3E%0A%20%20%3Cpath%20d%3D%27M63%2C63%20C63%2C32%2048%2C16%2032%2C16%20C16%2C16%201%2C32%201%2C63%20L63%2C63%27%20/%3E%0A%20%20%3Cpath%20d%3D%22M32%2C63%20L56%2C16%22%20/%3E%0A%3C/svg%3E\n",
+       ") center;\n",
+       "    background-size: cover;\n",
+       "}\n",
+       ".gate_control {\n",
+       "    position: absolute;\n",
+       "    top: 0;\n",
+       "    left: 0;\n",
+       "    border-radius: 50%;\n",
+       "    width: 6px;\n",
+       "    height: 6px;\n",
+       "    margin: calc(var(--box-height)/2 - 3px) calc(50% - 5px);\n",
+       "    padding: 0;\n",
+       "    border: 2px solid var(--wire-col);\n",
+       "    background: var(--box-col);\n",
+       "}\n",
+       ".gate_control.classical{\n",
+       "    background: var(--c-wire-col);\n",
+       "    border-color: var(--c-wire-col);\n",
+       "}\n",
+       ".control_index{\n",
+       "    position: absolute;\n",
+       "    right: calc(50% - 1em);\n",
+       "    top: calc(50% - 1.4em);\n",
+       "    color: var(--c-wire-col);\n",
+       "    font-size: 0.8em;\n",
+       "}\n",
+       ".control_index.measure{\n",
+       "    right: calc(50% - 1.2em);\n",
+       "    top: calc(50% - 1.8em);\n",
+       "    color: var(--index-col);\n",
+       "}\n",
+       ".gate_x {\n",
+       "    top: -10px;\n",
+       "    left: -6px;\n",
+       "    border-radius: 50%;\n",
+       "    border: 1px solid var(--wire-col);\n",
+       "    width: 20px;\n",
+       "    background: url(\n",
+       "data:image/svg+xml;utf8,%0A%3C%21--%20Generated%20with%20http%3A//jxnblk.com/paths%20--%3E%0A%3Csvg%0A%20%20xmlns%3D%27http%3A//www.w3.org/2000/svg%27%0A%20%20viewBox%3D%270%200%2064%2064%27%0A%20%20width%3D%2764%27%20height%3D%2764%27%0A%20%20fill%3D%27currentcolor%27%3E%0A%20%20%3Cpath%20d%3D%27M36%2064%20L36%2036%20L64%2036%20L64%2028%20L36%2028%20L36%200%20L28%200%20L28%2028%20L0%2028%20L0%2036%20L28%2036%20L28%2064%27%20/%3E%0A%3C/svg%3E\n",
+       ") center;\n",
+       "    background-color: var(--box-col);\n",
+       "    background-size: cover;\n",
+       "}\n",
+       ".gate_reset{\n",
+       "    margin: 11px 10px;\n",
+       "    padding: 0 0 0 10px;\n",
+       "    border: none !important;\n",
+       "    border-left: 2px solid var(--wire-col) !important;\n",
+       "    background: transparent;\n",
+       "}\n",
+       ".gate_reset_spider{\n",
+       "    width: calc(var(--box-height) - 24px);\n",
+       "    height: calc(var(--box-height) - 24px);\n",
+       "    background: var(--box-col);\n",
+       "    border: 2px solid var(--wire-col);\n",
+       "    border-radius: 50%;\n",
+       "    font-size: 0.75em;\n",
+       "}\n",
+       "\n",
+       "/* Add wire sections coming in and out of the gate */\n",
+       ".gate_in:before, .gate_in:after{\n",
+       "    content: '';\n",
+       "    position: absolute;\n",
+       "    display: block;\n",
+       "    top: calc(50% - 1px);\n",
+       "    border: 1px solid var(--wire-col);\n",
+       "    width: 9px;\n",
+       "    height: 0;\n",
+       "    background: var(--wire-col);\n",
+       "    box-sizing: content-box;\n",
+       "}\n",
+       ".classical.gate_in:before,\n",
+       ".classical.gate_in:after{\n",
+       "    border-color: var(--c-wire-col);\n",
+       "}\n",
+       "\n",
+       ".gate_in:before{\n",
+       "    left: -12px;\n",
+       "}\n",
+       ".gate_out:after{\n",
+       "    right: -12px;\n",
+       "}\n",
+       ".gate_top.gate_in:before, .gate_top.gate_out:after{\n",
+       "    top:calc(50% - 6.5px)\n",
+       "}\n",
+       ".gate_bottom.gate_in:before, .gate_bottom.gate_out:after{\n",
+       "    top:calc(50% + 4.5px)\n",
+       "}\n",
+       "\n",
+       "\n",
+       ".link-bottom, .link-top {\n",
+       "    height: var(--box-height);\n",
+       "    width: 0;\n",
+       "    border: 1px solid var(--wire-col);\n",
+       "    background: var(--wire-col);\n",
+       "    position: absolute;\n",
+       "    display: block;\n",
+       "    left: calc(50% - 1px);\n",
+       "    box-sizing: content-box;\n",
+       "}\n",
+       ".link-top{\n",
+       "    top: calc(0px - var(--box-height)/2);\n",
+       "}\n",
+       ".link-bottom{\n",
+       "    top: calc(var(--box-height)/2)\n",
+       "}\n",
+       ".half-link {\n",
+       "    height: calc(var(--box-height) - 9px);\n",
+       "}\n",
+       ".half-link.link-bottom{\n",
+       "    top: calc(var(--box-height)/2 + 11px)\n",
+       "}\n",
+       ".half-link.link-top{\n",
+       "    top: calc(-2px - var(--box-height)/2);\n",
+       "}\n",
+       ".link-bottom.measurement{\n",
+       "    width: 3px;\n",
+       "    left: calc(50% - 0.5px);\n",
+       "    border: none;\n",
+       "    background: var(--c-wire-col);\n",
+       "    height: calc(var(--box-height) + 2px);\n",
+       "    z-index: 1;\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "/* tool tips */\n",
+       ".tool-tip-container{\n",
+       "    margin: calc(0px - var(--box-height)) auto 0;\n",
+       "    padding-top: var(--box-height);\n",
+       "    position: relative;\n",
+       "    bottom: 0;\n",
+       "    left: 0;\n",
+       "    right: 0;\n",
+       "    height: 0;\n",
+       "    z-index: 4;\n",
+       "    width: fit-content;\n",
+       "    overflow: hidden;\n",
+       "}\n",
+       ".tool-tip-container.no-js{\n",
+       "    overflow: visible;\n",
+       "}\n",
+       ".tool-tip-container.no-js:hover{\n",
+       "    z-index: 10;\n",
+       "}\n",
+       ".nested > .tool-tip-container{\n",
+       "    position: absolute;\n",
+       "    bottom: -10px;\n",
+       "}\n",
+       ".tool-tip{\n",
+       "    visibility: hidden;\n",
+       "    opacity: 0;\n",
+       "    -webkit-transition: visibility 0.2s, opacity 0.2s;\n",
+       "    -moz-transition: visibility 0.2s, opacity 0.2s;\n",
+       "    transition: visibility 0.2s, opacity 0.2s;\n",
+       "    max-width: 250px;\n",
+       "}\n",
+       ".tool-tip-container.no-js:hover > .tool-tip{\n",
+       "    visibility: visible;\n",
+       "    opacity: 1;\n",
+       "}\n",
+       ".tool-tip-content{\n",
+       "    background: var(--main-bg);\n",
+       "    margin: 0 auto;\n",
+       "    width: -moz-fit-content;\n",
+       "    width: fit-content;\n",
+       "    max-width: 100%;\n",
+       "}\n",
+       ".no-js > .tool-tip > .tool-tip-content{\n",
+       "    height: auto;\n",
+       "    padding: 20px;\n",
+       "    margin: 0 auto;\n",
+       "}\n",
+       ".tool-tip-container.no-js:hover > .tool-tip > .tool-tip-content,\n",
+       ".no-js > tool-tip > .tool-tip-content:hover{\n",
+       "    box-shadow: 0 -5px 20px 5px var(--faint-col-overlay);\n",
+       "}\n",
+       ".tool-tip:after{\n",
+       "    content: \" \";\n",
+       "    position: absolute;\n",
+       "    bottom: 0;\n",
+       "    left: 50%;\n",
+       "    margin-left: -5px;\n",
+       "    border-width: 5px;\n",
+       "    border-style: solid;\n",
+       "    border-color: transparent transparent var(--main-bg) transparent;\n",
+       "}\n",
+       ".tool-tip .complex-number{\n",
+       "    padding: 4px;\n",
+       "}\n",
+       ".tool-tip-content > .gate_container.nested{\n",
+       "    width: 100%;\n",
+       "    min-width: unset;\n",
+       "}\n",
+       ".nested-label-layer.as-height{\n",
+       "    padding: 0;\n",
+       "}\n",
+       ".tool-tip-content > .gate_container.nested > .nested-circuit-container,\n",
+       ".circuit-preview.condensed > .nested-circuit-container{\n",
+       "    background: transparent;\n",
+       "    border: none;\n",
+       "    width: 100%;\n",
+       "    min-width: unset;\n",
+       "    max-width: unset;\n",
+       "}\n",
+       "\n",
+       "/* Tool-tip modal */\n",
+       ".circuit-grid{\n",
+       "    display: flex;\n",
+       "    flex-direction: row-reverse;\n",
+       "    align-items: stretch;\n",
+       "    align-content: stretch;\n",
+       "}\n",
+       ".circuit-grid-circuit{\n",
+       "    flex: 1 1 auto;\n",
+       "    margin-top: 30px;\n",
+       "    overflow: auto;\n",
+       "    max-height: inherit;\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "/*  FOR DISPLAYING CHARTS  */\n",
+       "table{\n",
+       "    border-collapse: collapse;\n",
+       "}\n",
+       ".table-container{\n",
+       "    margin: auto;\n",
+       "}\n",
+       ".bar-chart-container{\n",
+       "    min-width: 300px;\n",
+       "    width: 60%;\n",
+       "}\n",
+       ".square-chart-container{\n",
+       "    width: auto;\n",
+       "    min-width: 0;\n",
+       "    overflow: hidden;\n",
+       "}\n",
+       "\n",
+       "/* Make sure we can see the rightmost border */\n",
+       ".square-chart-container tbody{\n",
+       "    position: relative;\n",
+       "    left: -1px;\n",
+       "    display: block;\n",
+       "}\n",
+       "thead > tr{\n",
+       "    background: transparent !important;\n",
+       "}\n",
+       "tr:hover, tr {\n",
+       "    background: initial !important;\n",
+       "}\n",
+       "\n",
+       "td, th{\n",
+       "    padding: 10px;\n",
+       "    position: relative;\n",
+       "}\n",
+       "\n",
+       "/* COMPLEX NUMBERS AND MATRICES */\n",
+       ".complex-number{\n",
+       "    padding: 10px;\n",
+       "}\n",
+       ".mid-number{\n",
+       "    padding: 5px;\n",
+       "    font-size: 0.75em;\n",
+       "}\n",
+       ".large-number{\n",
+       "    padding: 2px;\n",
+       "    font-size: 0.75em;\n",
+       "}\n",
+       ".matrix_container{\n",
+       "    border: 2px solid var(--mid-col);\n",
+       "    border-top: 0;\n",
+       "    border-bottom: 0;\n",
+       "    margin: auto !important;\n",
+       "    border-collapse: collapse;\n",
+       "    text-align: center;\n",
+       "}\n",
+       "\n",
+       "\n",
+       "/* LIST RESULTS NICELY */\n",
+       ".list{\n",
+       "    flex-wrap: wrap;\n",
+       "    justify-content: space-evenly;\n",
+       "    align-items: stretch;\n",
+       "    padding: 0;\n",
+       "}\n",
+       ".list > *{\n",
+       "    margin: 10px;\n",
+       "}\n",
+       ".list > .row-sub-heading{\n",
+       "    margin: 10px 0;\n",
+       "}\n",
+       "</style>\n",
+       "\n",
+       "</head>\n",
+       "<body>\n",
+       "    <div class=\"row circuit-grid circuit__preview-body\">\n",
+       "        <div class=\"circuit-grid-circuit thin-scrollbar\"  style=\"\">\n",
+       "            \n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "\n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "\n",
+       "    <div class=\"circuit-preview circuit_variables condensed\">\n",
+       "        \n",
+       "            \n",
+       "            <div class=\"nested-label-layer as-height\">\n",
+       "                \n",
+       "                    <div class=\"wire-label\"></div>\n",
+       "                \n",
+       "                    <div class=\"wire-label\"></div>\n",
+       "                \n",
+       "                    <div class=\"wire-label\"></div>\n",
+       "                \n",
+       "                    <div class=\"wire-label\"></div>\n",
+       "                \n",
+       "                    <div class=\"wire-label\"></div>\n",
+       "                \n",
+       "                    <div class=\"wire-label\"></div>\n",
+       "                \n",
+       "                    <div class=\"wire-label\"></div>\n",
+       "                \n",
+       "                    <div class=\"wire-label\"></div>\n",
+       "                \n",
+       "                    <div class=\"wire-label\"></div>\n",
+       "                \n",
+       "                    <div class=\"wire-label\"></div>\n",
+       "                \n",
+       "                    <div class=\"wire-label\"></div>\n",
+       "                \n",
+       "                    <div class=\"wire-label\"></div>\n",
+       "                \n",
+       "                    <div class=\"wire-label\"></div>\n",
+       "                \n",
+       "                    <div class=\"wire-label\"></div>\n",
+       "                \n",
+       "                    <div class=\"wire-label\"></div>\n",
+       "                \n",
+       "                    <div class=\"wire-label\"></div>\n",
+       "                \n",
+       "                    <div class=\"wire-label\"></div>\n",
+       "                \n",
+       "                    <div class=\"wire-label\"></div>\n",
+       "                \n",
+       "            </div>\n",
+       "            <div class=\"nested-circuit-container\"><div class=\"circuit-inner-scroll\">\n",
+       "        \n",
+       "        <div class=\"circuit-container nested\">\n",
+       "            <div class=\"circuit-layer qubits\">\n",
+       "        \n",
+       "            <div class=\"qubit\">q[0]</div>\n",
+       "        \n",
+       "            <div class=\"qubit\">q[1]</div>\n",
+       "        \n",
+       "            <div class=\"qubit\">q[2]</div>\n",
+       "        \n",
+       "            <div class=\"qubit\">q[3]</div>\n",
+       "        \n",
+       "            <div class=\"qubit\">q[4]</div>\n",
+       "        \n",
+       "            <div class=\"qubit\">q[5]</div>\n",
+       "        \n",
+       "            <div class=\"qubit\">q[6]</div>\n",
+       "        \n",
+       "            <div class=\"qubit\">q[7]</div>\n",
+       "        \n",
+       "            <div class=\"qubit\">q[8]</div>\n",
+       "        \n",
+       "        \n",
+       "            <div class=\"qubit bit\">c[0]</div>\n",
+       "        \n",
+       "            <div class=\"qubit bit\">c[1]</div>\n",
+       "        \n",
+       "            <div class=\"qubit bit\">c[2]</div>\n",
+       "        \n",
+       "            <div class=\"qubit bit\">c[3]</div>\n",
+       "        \n",
+       "            <div class=\"qubit bit\">c[4]</div>\n",
+       "        \n",
+       "            <div class=\"qubit bit\">c[5]</div>\n",
+       "        \n",
+       "            <div class=\"qubit bit\">c[6]</div>\n",
+       "        \n",
+       "            <div class=\"qubit bit\">c[7]</div>\n",
+       "        \n",
+       "            <div class=\"qubit bit\">c[8]</div>\n",
+       "        \n",
+       "    </div>\n",
+       "            \n",
+       "                <div class=\"circuit-layer hover-highlight-circuit\">\n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "            </div>\n",
+       "            \n",
+       "                <div class=\"circuit-layer hover-highlight-circuit\">\n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container nested\">\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "        <div class=\"gate_container \">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">TK1(0.5, 0.5, 0.5)</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
+       "        </div>\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container nested\">\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "        <div class=\"gate_container \">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">TK1(0.9148253798484802, 3.5, 3.5)</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
+       "        </div>\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container nested\">\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "        <div class=\"gate_container \">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">TK1(0.004747768235539851, 0.3082707138413522, 3.0034881103576376)</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
+       "        </div>\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container nested\">\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "        <div class=\"gate_container \">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">TK1(0.5, 0.5, 0.5)</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
+       "        </div>\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container nested\">\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "        <div class=\"gate_container \">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">TK1(1.100811630487442, 3.5, 3.5)</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
+       "        </div>\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container nested\">\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "        <div class=\"gate_container \">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">TK1(0.9886854290962219, 3.5, 3.5)</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
+       "        </div>\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container nested\">\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "        <div class=\"gate_container \">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">TK1(1.8184537887573242, 3.5, 3.5)</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
+       "        </div>\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container nested\">\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "        <div class=\"gate_container \">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">TK1(0.5, 0.5, 0.5)</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
+       "        </div>\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container nested\">\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "        <div class=\"gate_container \">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">TK1(1.7900096476078033, 3.5, 3.5)</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
+       "        </div>\n",
+       "        <div class=\"flex_wire\">\n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "        \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
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+       "        <div class=\"gate_container\">\n",
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+       "        \n",
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+       "                    \n",
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+       "        \n",
+       "            <div class=\"control_index measure z\">z</div>\n",
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+       "\n",
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+       "            <div class=\"link-bottom measurement\"></div>\n",
+       "        \n",
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+       "\n",
+       "        <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        <div class=\"gate gate_connection \"></div>\n",
+       "        \n",
+       "    </div>\n",
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+       "            <div class=\"gate_container\">\n",
+       "        \n",
+       "            <div class=\"link-bottom measurement\"></div>\n",
+       "        \n",
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+       "\n",
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+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        <div class=\"gate gate_connection \"></div>\n",
+       "        \n",
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+       "        <div class=\"gate_container\">\n",
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+       "        <div class=\"gate gate_connection \"></div>\n",
+       "        \n",
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+       "\n",
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+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
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+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "            </div>\n",
+       "            \n",
+       "                <div class=\"circuit-layer hover-highlight-circuit\">\n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
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+       "    \n",
+       "        \n",
+       "            <div class=\"gate_container nested\">\n",
+       "        <div class=\"flex_wire\">\n",
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+       "        <div class=\"gate_container \">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">TK1(0.5, 0.5, 0.5)</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
+       "        </div>\n",
+       "        <div class=\"flex_wire\">\n",
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+       "\n",
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+       "            <div class=\"gate_container nested\">\n",
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+       "        <div class=\"gate_container \">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">TK1(0.5, 0.5, 0.5)</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
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+       "            <div class=\"gate_container nested\">\n",
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+       "        <div class=\"gate_container \">\n",
+       "            \n",
+       "            \n",
+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">TK1(0.0, 0.0, 0.5113145709037781)</span>\n",
+       "                </div>\n",
+       "            \n",
+       "\n",
+       "            \n",
+       "        </div>\n",
+       "        <div class=\"flex_wire\">\n",
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+       "            <div class=\"gate_container\">\n",
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+       "    \n",
+       "\n",
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+       "            \n",
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+       "                \n",
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+       "                    \n",
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+       "\n",
+       "                    \n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        <div class=\"gate_container\">\n",
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+       "            <div class=\"link-bottom measurement\"></div>\n",
+       "        \n",
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+       "\n",
+       "        <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        <div class=\"gate gate_connection gate_measure\"></div>\n",
+       "        \n",
+       "            <div class=\"control_index measure z\">z</div>\n",
+       "        \n",
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+       "            <div class=\"gate_container\">\n",
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+       "            <div class=\"link-bottom measurement\"></div>\n",
+       "        \n",
+       "        \n",
+       "\n",
+       "        <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        <div class=\"gate gate_connection \"></div>\n",
+       "        \n",
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+       "            <div class=\"gate_container\">\n",
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+       "            <div class=\"link-bottom measurement\"></div>\n",
+       "        \n",
+       "        \n",
+       "\n",
+       "        <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        <div class=\"gate gate_connection \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        \n",
+       "            <div class=\"link-bottom measurement\"></div>\n",
+       "        \n",
+       "        \n",
+       "\n",
+       "        <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
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+       "    </div>\n",
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+       "            <div class=\"link-bottom measurement\"></div>\n",
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+       "            <div class=\"gate_container\">\n",
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+       "            <div class=\"link-bottom measurement\"></div>\n",
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+       "    </div>\n",
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+       "            <div class=\"gate_container\">\n",
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+       "            <div class=\"link-bottom measurement\"></div>\n",
+       "        \n",
+       "        \n",
+       "\n",
+       "        <div class=\"gate_container\">\n",
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+       "        \n",
+       "\n",
+       "        <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
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+       "    </div>\n",
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+       "    </div>\n",
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+       "        <div class=\"wire classical\"></div>\n",
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+       "    </div>\n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "            </div>\n",
+       "            \n",
+       "                <div class=\"circuit-layer hover-highlight-circuit\">\n",
+       "                \n",
+       "                    \n",
+       "                    \n",
+       "                        \n",
+       "    \n",
+       "    \n",
+       "        <div class=\"gate_container\">\n",
+       "        \n",
+       "            <div class=\"link-bottom measurement\"></div>\n",
+       "        \n",
+       "        \n",
+       "\n",
+       "        <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        <div class=\"gate gate_connection gate_measure\"></div>\n",
+       "        \n",
+       "            <div class=\"control_index measure z\">z</div>\n",
+       "        \n",
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+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        \n",
+       "            <div class=\"link-bottom measurement\"></div>\n",
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+       "            <div class=\"link-bottom measurement\"></div>\n",
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+       "        <div class=\"gate_container\">\n",
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+       "            <div class=\"link-bottom measurement\"></div>\n",
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+       "            <div class=\"link-bottom measurement\"></div>\n",
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+       "\n",
+       "        <div class=\"gate_container\">\n",
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+       "        <div class=\"gate_container\">\n",
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+       "        <div class=\"gate_container x\">\n",
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+       "                <div class=\"gate gate_box gate_in gate_out \">\n",
+       "                    <span class=\"gate_name\">X</span>\n",
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+       "            \n",
+       "\n",
+       "            \n",
+       "                <div class=\"link-top\"></div>\n",
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+       "\n",
+       "        <div class=\"gate_container\">\n",
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+       "        <div class=\"gate gate_connection gate_measure\"></div>\n",
+       "        \n",
+       "            <div class=\"control_index measure z\">z</div>\n",
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+       "            <div class=\"link-bottom measurement\"></div>\n",
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+       "        <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
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+       "            <div class=\"link-bottom measurement\"></div>\n",
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+       "        <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
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+       "        <div class=\"gate gate_connection \"></div>\n",
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+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        \n",
+       "            <div class=\"link-bottom measurement\"></div>\n",
+       "        \n",
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+       "\n",
+       "        <div class=\"gate_container\">\n",
+       "        <div class=\"wire \"></div>\n",
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+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "            <div class=\"gate_container\">\n",
+       "        <div class=\"wire classical\"></div>\n",
+       "        \n",
+       "    </div>\n",
+       "        \n",
+       "\n",
+       "    \n",
+       "    \n",
+       "\n",
+       "                    \n",
+       "                \n",
+       "            </div>\n",
+       "            \n",
+       "            <div class=\"circuit-layer qubits\">\n",
+       "        \n",
+       "            <div class=\"qubit\">q[0]</div>\n",
+       "        \n",
+       "            <div class=\"qubit\">q[1]</div>\n",
+       "        \n",
+       "            <div class=\"qubit\">q[2]</div>\n",
+       "        \n",
+       "            <div class=\"qubit\">q[3]</div>\n",
+       "        \n",
+       "            <div class=\"qubit\">q[4]</div>\n",
+       "        \n",
+       "            <div class=\"qubit\">q[5]</div>\n",
+       "        \n",
+       "            <div class=\"qubit\">q[6]</div>\n",
+       "        \n",
+       "            <div class=\"qubit\">q[7]</div>\n",
+       "        \n",
+       "            <div class=\"qubit\">q[8]</div>\n",
+       "        \n",
+       "        \n",
+       "            <div class=\"qubit bit\">c[0]</div>\n",
+       "        \n",
+       "            <div class=\"qubit bit\">c[1]</div>\n",
+       "        \n",
+       "            <div class=\"qubit bit\">c[2]</div>\n",
+       "        \n",
+       "            <div class=\"qubit bit\">c[3]</div>\n",
+       "        \n",
+       "            <div class=\"qubit bit\">c[4]</div>\n",
+       "        \n",
+       "            <div class=\"qubit bit\">c[5]</div>\n",
+       "        \n",
+       "            <div class=\"qubit bit\">c[6]</div>\n",
+       "        \n",
+       "            <div class=\"qubit bit\">c[7]</div>\n",
+       "        \n",
+       "            <div class=\"qubit bit\">c[8]</div>\n",
+       "        \n",
+       "    </div>\n",
+       "        </div>\n",
+       "        \n",
+       "            </div></div>\n",
+       "        \n",
+       "    </div>\n",
+       "\n",
+       "    \n",
+       "\n",
+       "\n",
+       "        </div>\n",
+       "    </div>\n",
+       "</body>\n",
+       "</html>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "render_circuit_jupyter(MyCirc)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1ca52a8a-23c7-4018-b2a1-bbfd81110871",
+   "metadata": {},
+   "source": [
+    "More complex sentences can be parsed with Lambeq, solving the issue of being limited by the sentence structure. But, some ambiguity may exist for some sentences and this parser has to be investigated in more detail."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 280,
+   "id": "079197e0-f086-4a32-838a-b8c08aee1f7a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "Dataset[1].diagram.draw()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c23773c0-1b7e-4b9b-8022-fa3a1e34068a",
+   "metadata": {},
+   "source": [
+    "## REFERENCES"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "eea3e908-3c70-4453-84fd-411986dbd900",
+   "metadata": {},
+   "source": [
+    "### QML\n",
+    "\n",
+    "PennyLane Transfer Learning(Transfer learning in hybrid classical-quantum neural networks)\n",
+    "https://arxiv.org/pdf/1912.08278.pdf\n",
+    "\n",
+    "Quantum embeddings for machine learning\n",
+    "https://arxiv.org/pdf/2001.03622.pdf\n",
+    "\n",
+    "Variational Quantum Circuit-Based Reinforcement Learning for\n",
+    "POMDP and Experimental Implementation\n",
+    "https://downloads.hindawi.com/journals/mpe/2021/3511029.pdf\n",
+    "\n",
+    "QTN-VQC: AN END-TO-END LEARNING FRAMEWORK FOR\n",
+    "QUANTUM NEURAL NETWORKS\n",
+    "https://arxiv.org/pdf/2110.03861.pdf\n",
+    "\n",
+    "Quantum activation functions for quantum neural networks\n",
+    "https://arxiv.org/pdf/2201.03700.pdf\n",
+    "\n",
+    "\n",
+    "Variational Quantum Reinforcement Learning via Evolutionary\n",
+    "Optimization\n",
+    "https://iopscience.iop.org/article/10.1088/2632-2153/ac4559/pdf\n",
+    "\n",
+    "Quantum Neuron: an elementary building block for machine learning\n",
+    "on quantum computers\n",
+    "https://arxiv.org/pdf/1711.11240.pdf\n",
+    "\n",
+    "Quantum recurrent neural networks:\n",
+    "https://arxiv.org/pdf/2006.14619.pdf\n",
+    "\n",
+    "CLASSICAL-TO-QUANTUM TRANSFER LEARNING FOR SPOKEN COMMAND\n",
+    "RECOGNITION BASED ON QUANTUM NEURAL NETWORKS\n",
+    "https://arxiv.org/pdf/2110.08689.pdf\n",
+    "\n",
+    "Faster Quantum Alternative to Softmax Selection in\n",
+    "Deep Learning and Deep Reinforcement Learning\n",
+    "QNLP\n",
+    "https://www.cs.utep.edu/vladik/2019/tr19-52b.pdf\n",
+    "\n",
+    "\n",
+    "### QNLP\n",
+    "\n",
+    "Lambeq: An Efficient High-Level Python\n",
+    "Library for Quantum NLP\n",
+    "https://arxiv.org/pdf/2110.04236.pdf\n",
+    "\n",
+    "Quantum Language Model with Entanglement\n",
+    "Embedding for Question Answering\n",
+    "https://arxiv.org/pdf/2008.09943.pdf\n",
+    "\n",
+    "Natural Language Processing Meets Quantum Physics:\n",
+    "A Survey and Categorization\n",
+    "https://aclanthology.org/2021.emnlp-main.254.pdf\n",
+    "\n",
+    "Explainable Natural Language Processing with\n",
+    "Matrix Product States\n",
+    "https://arxiv.org/pdf/2112.08628.pdf\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d9837cc0-36b9-47a7-a0c6-de64c67f1d00",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "# Training the model: WIP"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c50555bd-d5be-4788-8717-5a06c238a413",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import json\n",
+    "filename = \"Complete_dataset.json\"\n",
+    "with open(filename) as f:\n",
+    "    data = json.load(f)\n",
+    "dftrain = pd.DataFrame(data['train_data'])\n",
+    "dftrain[\"truth_value\"]= dftrain[\"truth_value\"].map({True: [1,0], False: [0,1]})\n",
+    "dftest = pd.DataFrame(data['test_data'])\n",
+    "dftest[\"truth_value\"]= dftest[\"truth_value\"].map({True: [1,0], False: [0,1]})\n",
+    "\n",
+    "\n",
+    "Dataset = []\n",
+    "for sentence, label in zip(dftrain[\"sentence\"], dftrain[\"truth_value\"]):\n",
+    "    Dataset.append(QSentence(sentence_string=sentence, n_dim=1, s_dim=1, depth = 1, label = label))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 229,
+   "id": "d95d3dfa-24b5-40ef-ba14-b14d277aa2db",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import torch.optim as optim\n",
+    "\n",
+    "criterion = nn.CrossEntropyLoss()\n",
+    "optimizer = optim.SGD(DressedNet.parameters(), lr=0.001, momentum=0.9)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5a6e2f9e-8624-406c-8d8d-b5222da35130",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "for epoch in range(2):  # loop over the dataset multiple times\n",
+    "    running_loss = 0.0\n",
+    "    for sentence in Dataset:\n",
+    "        label = sentence.label\n",
+    "        print(sentence, label)\n",
+    "\n",
+    "        # zero the parameter gradients\n",
+    "        optimizer.zero_grad()\n",
+    "\n",
+    "        # forward + backward + optimize\n",
+    "        \n",
+    "        net = DressedQuantumNet(sentence)\n",
+    "        outputs = torch.tensor(DressedNet.forward())\n",
+    "        loss = criterion(outputs, label)\n",
+    "        loss.backward()\n",
+    "        optimizer.step()\n",
+    "\n",
+    "        # print statistics\n",
+    "        running_loss += loss.item()\n",
+    "        if i % 2000 == 1999:    # print every 2000 mini-batches\n",
+    "            print(f'[{epoch + 1}, {i + 1:5d}] loss: {running_loss / 2000:.3f}')\n",
+    "            running_loss = 0.0\n",
+    "\n",
+    "print('Finished Training')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bfb4cbe4-8a14-4bce-ac05-5a4ed9ea4495",
+   "metadata": {},
+   "source": [
+    "## Quantum in other NLP or ML architectures"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 285,
+   "id": "de679a88-5bfb-4748-86fa-302ccf14deda",
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "execution_count": 285,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Image(filename='QNLP_arch.png') "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c019c742-0b15-4347-9b8e-b47d8fa91c02",
+   "metadata": {},
+   "source": [
+    "In Transformer architecture, Quantum Computing could be used:\n",
+    "\n",
+    "* To replace feedforward layers with variational quantum circuits\n",
+    "* Cosine transform is a potential candidate to replace attention mechanism\n",
+    "* Fourier transform can be implemented efficiently in QC, and it could be used as positional embeddings\n",
+    "* Attention matrices could be replaced by trainable quantum operators* "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 287,
+   "id": "2fb27092-6422-4ef6-83d0-3345cf5baad5",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "execution_count": 287,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Image(filename='Transformer.png') "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 286,
+   "id": "00d2d354-b859-42cb-b1d0-0c2f987b5de2",
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "execution_count": 286,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Image(filename='Attention.png') "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dd31a097-317c-4c05-a753-969c95ea4e53",
+   "metadata": {},
+   "source": [
+    "The formula above calculates Attention given a Query matrix Q, a Keys matrix K and a values matrix V. This allows to emphasize relations between different part of a sequence in a corpus. A sensible idea is to replace these matrices by quantum operators and apply them after a sentence has been encoded in a quantum circuit using the DisCoCat model."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3e2ba318-3b1a-4544-8009-9909621b0bb3",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/misc/notebooks/DressedQuantumCircuit/Processing text data with quantum computers webinar .pptx b/misc/notebooks/DressedQuantumCircuit/Processing text data with quantum computers webinar .pptx
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diff --git a/misc/notebooks/DressedQuantumCircuit/Readme.md b/misc/notebooks/DressedQuantumCircuit/Readme.md
new file mode 100644
index 00000000..80c771f2
--- /dev/null
+++ b/misc/notebooks/DressedQuantumCircuit/Readme.md
@@ -0,0 +1,28 @@
+# Neural Networks in Dressed Quantum Circuits for NLP
+
+
+## Dressed Quantum Circuits
+
+The idea behind this Jupyter Notebook is to extend the work found in https://pennylane.ai/qml/demos/tutorial_quantum_transfer_learning.html. In transfer learning, the first layers of a pretrained neural network are used to solve a different problem to that used to train the network, adding new layers to the model that specialise in that specific task. 
+
+We are using a BERT model to retrieve the context dependant embeddings for the words present in a sentence. Which layer is the best to retrieve the embeddings from is unclear, and it will need to be investigated. Once we have those vectors, they opropagate through a feedforward network that first will reduce the dimensionaility to an intermediate representation (in the notebook it is set to 20), and then the following layers will continue reducing the dimensionality of the vectors until reaching the number of parameters needed by the tensor representation of the quantum circuit offered by the Lambeq library for that word in a specific sentences. 
+
+Some benefits of this approach are:
+
+* Any sentence structure and word contained in the BERT model used can be processed by the full pipeline. No need to store the values of parameters for a dictionary
+    
+* It is possible to generalize to different NLP tasks
+    
+* If the dimensionaility of the category space is changed, the NN can be re-scaled to reuse the model for new circuit dimensionaility.
+    
+    
+
+Issues
+    
+* Pytket loses the tensor nature of parameters, giving an output consisting of a list of floats or simply counts -> Differentiable circuits in Pennylane could be a solution.
+    
+* It is not clear if we gain any quantum advantage with this methods, as a classical NN has to be trained. 
+
+
+
+
diff --git a/misc/~$LP_resources.docx b/misc/~$LP_resources.docx
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