Aer_Distrubited_with_Kubernetes_and_more.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "02be0a9c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ee5cf620",
   "metadata": {},
   "outputs": [],
   "source": [
    "from qiskit import QuantumCircuit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "fe793c7b",
   "metadata": {},
   "outputs": [],
   "source": [
    "from qiskit import Aer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "9deed8d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "from qiskit.tools.visualization import plot_histogram, plot_state_city"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "74a19780",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[AerSimulator('aer_simulator'),\n",
       " AerSimulator('aer_simulator_statevector'),\n",
       " AerSimulator('aer_simulator_density_matrix'),\n",
       " AerSimulator('aer_simulator_stabilizer'),\n",
       " AerSimulator('aer_simulator_matrix_product_state'),\n",
       " AerSimulator('aer_simulator_extended_stabilizer'),\n",
       " AerSimulator('aer_simulator_unitary'),\n",
       " AerSimulator('aer_simulator_superop'),\n",
       " QasmSimulator('qasm_simulator'),\n",
       " StatevectorSimulator('statevector_simulator'),\n",
       " UnitarySimulator('unitary_simulator'),\n",
       " PulseSimulator('pulse_simulator')]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Aer.backends()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "38b939b9",
   "metadata": {},
   "outputs": [],
   "source": [
    "simulator=Aer.get_backend('aer_simulator')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "331eb3fe",
   "metadata": {},
   "outputs": [],
   "source": [
    "from qiskit.circuit.random import random_circuit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "4435152f",
   "metadata": {},
   "outputs": [],
   "source": [
    "qc=[random_circuit(num_qubits=3, depth=4, measure=True) for _ in range(1,11)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "61620465",
   "metadata": {},
   "outputs": [],
   "source": [
    "from qiskit import transpile"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ae8298b4",
   "metadata": {},
   "outputs": [],
   "source": [
    "qc=transpile(qc, simulator)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b0204a3e",
   "metadata": {},
   "outputs": [],
   "source": [
    "result=simulator.run(qc).result()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "875479b2",
   "metadata": {},
   "outputs": [],
   "source": [
    "counts=result.get_counts(qc[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "2dad1e33",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot_histogram(counts, title=\"Bell State counts\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c5ed2cfd",
   "metadata": {},
   "outputs": [],
   "source": [
    "######################################################################################################"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "d9751cd2",
   "metadata": {},
   "outputs": [],
   "source": [
    "from dask_kubernetes import KubeCluster"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "0af03c12",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# worker-spec.yml\r\n",
      "\r\n",
      "kind: Pod\r\n",
      "metadata:\r\n",
      "  labels:\r\n",
      "    foo: bar\r\n",
      "spec:\r\n",
      "  restartPolicy: Never\r\n",
      "  containers:\r\n",
      "  - image: daskdev/dask:latest\r\n",
      "    imagePullPolicy: IfNotPresent\r\n",
      "    args: [dask-worker, --nthreads, '1', --no-dashboard, --memory-limit, 1G, --death-timeout, '60']\r\n",
      "    name: dask\r\n",
      "    env:\r\n",
      "      - name: EXTRA_PIP_PACKAGES\r\n",
      "        value: git+https://github.com/dask/distributed\r\n",
      "    resources:\r\n",
      "      limits:\r\n",
      "        cpu: \"1\"\r\n",
      "        memory: 1G\r\n",
      "      requests:\r\n",
      "        cpu: \"1\"\r\n",
      "        memory: 1G\r\n"
     ]
    }
   ],
   "source": [
    "!cat ./worker-spec.yml"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "33b80b64",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Creating scheduler pod on cluster. This may take some time.\n",
      "Forwarding from 127.0.0.1:64978 -> 8786\n",
      "Forwarding from [::1]:64978 -> 8786\n",
      "Handling connection for 64978\n",
      "Handling connection for 64978\n",
      "Handling connection for 64978\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/red/.local/lib/python3.9/site-packages/distributed/client.py:1100: VersionMismatchWarning: Mismatched versions found\n",
      "\n",
      "+-------------+-----------+------------------------+---------+\n",
      "| Package     | client    | scheduler              | workers |\n",
      "+-------------+-----------+------------------------+---------+\n",
      "| blosc       | None      | 1.10.2                 | None    |\n",
      "| cloudpickle | 2.0.0     | 1.6.0                  | None    |\n",
      "| distributed | 2021.09.0 | 2021.09.0+18.g05677bb2 | None    |\n",
      "| lz4         | None      | 3.1.3                  | None    |\n",
      "+-------------+-----------+------------------------+---------+\n",
      "  warnings.warn(version_module.VersionMismatchWarning(msg[0][\"warning\"]))\n"
     ]
    }
   ],
   "source": [
    "cluster_kube = KubeCluster('worker-spec.yml')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "01e7d247",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Handling connection for 64978\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "    <details>\n",
       "    <summary style='display:list-item'>Cluster</summary>\n",
       "    \n",
       "    \n",
       "        <p style=\"font-family: monospace; margin: 0;\">Creating scheduler pod on cluster. This may take some time.</p>\n",
       "    \n",
       "\n",
       "    </details>\n",
       "\n",
       "    <details>\n",
       "    <summary style='display:list-item'>Scheduler</summary>\n",
       "    \n",
       "    \n",
       "        <p style=\"font-family: monospace; margin: 0;\">distributed.scheduler - INFO - -----------------------------------------------</p>\n",
       "    \n",
       "\n",
       "    \n",
       "        <p style=\"font-family: monospace; margin: 0;\">distributed.scheduler - INFO - Clear task state</p>\n",
       "    \n",
       "\n",
       "    \n",
       "        <p style=\"font-family: monospace; margin: 0;\">distributed.scheduler - INFO -   Scheduler at:     tcp://172.17.0.3:8786</p>\n",
       "    \n",
       "\n",
       "    \n",
       "        <p style=\"font-family: monospace; margin: 0;\">distributed.scheduler - INFO -   dashboard at:                     :8787</p>\n",
       "    \n",
       "\n",
       "    \n",
       "        <p style=\"font-family: monospace; margin: 0;\">distributed.scheduler - INFO - Receive client connection: Client-ba999591-1751-11ec-9a51-a09f10d41eae</p>\n",
       "    \n",
       "\n",
       "    \n",
       "        <p style=\"font-family: monospace; margin: 0;\">distributed.scheduler - INFO - Remove client Client-ba999591-1751-11ec-9a51-a09f10d41eae</p>\n",
       "    \n",
       "\n",
       "    \n",
       "        <p style=\"font-family: monospace; margin: 0;\">distributed.scheduler - INFO - Remove client Client-ba999591-1751-11ec-9a51-a09f10d41eae</p>\n",
       "    \n",
       "\n",
       "    \n",
       "        <p style=\"font-family: monospace; margin: 0;\">distributed.scheduler - INFO - Close client connection: Client-ba999591-1751-11ec-9a51-a09f10d41eae</p>\n",
       "    \n",
       "\n",
       "    </details>\n"
      ],
      "text/plain": [
       "{'Cluster': 'Creating scheduler pod on cluster. This may take some time.',\n",
       " 'Scheduler': 'distributed.scheduler - INFO - -----------------------------------------------\\ndistributed.scheduler - INFO - Clear task state\\ndistributed.scheduler - INFO -   Scheduler at:     tcp://172.17.0.3:8786\\ndistributed.scheduler - INFO -   dashboard at:                     :8787\\ndistributed.scheduler - INFO - Receive client connection: Client-ba999591-1751-11ec-9a51-a09f10d41eae\\ndistributed.scheduler - INFO - Remove client Client-ba999591-1751-11ec-9a51-a09f10d41eae\\ndistributed.scheduler - INFO - Remove client Client-ba999591-1751-11ec-9a51-a09f10d41eae\\ndistributed.scheduler - INFO - Close client connection: Client-ba999591-1751-11ec-9a51-a09f10d41eae'}"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cluster_kube.get_logs()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "700157b4",
   "metadata": {},
   "outputs": [],
   "source": [
    "####   It dosen't run after this so moving on to next ways of running Aer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "38d01333",
   "metadata": {},
   "outputs": [],
   "source": [
    "from dask.distributed import Client"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "eeda190c",
   "metadata": {},
   "outputs": [],
   "source": [
    "client_kube = Client(cluster_kube)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "52ec86d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "qbackend = Aer.get_backend('qasm_simulator')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "59651952",
   "metadata": {},
   "outputs": [],
   "source": [
    "from qiskit import execute"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bbf36174",
   "metadata": {},
   "outputs": [],
   "source": [
    "result_ideal = execute(qc, qbackend, executor=client_kube).result()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fa56d312",
   "metadata": {},
   "outputs": [],
   "source": [
    "counts=result.get_counts(qc[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8fe3a0df",
   "metadata": {},
   "outputs": [],
   "source": [
    "plot_histogram(counts, title=\"Bell State counts\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4d9c50ab",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fa4d957c",
   "metadata": {},
   "outputs": [],
   "source": [
    "client_kube.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "671fa97a",
   "metadata": {},
   "outputs": [],
   "source": [
    "cluster_kube.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "384f9e60",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2fc1a0c6",
   "metadata": {},
   "outputs": [],
   "source": [
    "##################################################################################################"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "20c4ad6c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0bad3b20",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "f9ddc7cf",
   "metadata": {},
   "outputs": [],
   "source": [
    "from concurrent.futures import ThreadPoolExecutor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "6bfc9cbf",
   "metadata": {},
   "outputs": [],
   "source": [
    "exc_threadpool = ThreadPoolExecutor(max_workers=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "eddbf517",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<concurrent.futures.thread.ThreadPoolExecutor at 0x7fcffb7d41c0>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "exc_threadpool"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "fc94352c",
   "metadata": {},
   "outputs": [],
   "source": [
    "qbackend = Aer.get_backend('qasm_simulator')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "15a6ebd6",
   "metadata": {},
   "outputs": [],
   "source": [
    "from qiskit import execute"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "a64f3a05",
   "metadata": {},
   "outputs": [],
   "source": [
    "result_ideal = execute(qc, qbackend, executor=exc_threadpool).result()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "248d116f",
   "metadata": {},
   "outputs": [],
   "source": [
    "counts=result.get_counts(qc[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "7418464a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot_histogram(counts, title=\"Bell State counts\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6bd446fd",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4deb5180",
   "metadata": {},
   "outputs": [],
   "source": [
    "##################################################################################################"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f6523307",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4af4edef",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "32f444d6",
   "metadata": {},
   "outputs": [],
   "source": [
    "from dask.distributed import Client"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "43df44dc",
   "metadata": {},
   "outputs": [],
   "source": [
    "from dask.distributed import LocalCluster"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "159b7d71",
   "metadata": {},
   "outputs": [],
   "source": [
    "local_cluster_1=LocalCluster(n_workers=1, processes=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "e239526e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ab60952274364dee8416e00c4e5308ca",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Tab(children=(HTML(value='<div class=\"jp-RenderedHTMLCommon jp-RenderedHTML jp-mod-trusted jp-OutputArea-outpu…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "local_cluster_1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "ebf1e7b6",
   "metadata": {},
   "outputs": [],
   "source": [
    "client_localcluster = Client(address=local_cluster_1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "4d1c383d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "    <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\"> </div>\n",
       "    <div style=\"margin-left: 48px;\">\n",
       "        <h3 style=\"margin-bottom: 0px;\">Client</h3>\n",
       "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-d90ba300-1751-11ec-9a51-a09f10d41eae</p>\n",
       "        <table style=\"width: 100%; text-align: left;\">\n",
       "\n",
       "        <tr>\n",
       "        \n",
       "            <td style=\"text-align: left;\"><strong>Connection method:</strong> Cluster object</td>\n",
       "            <td style=\"text-align: left;\"><strong>Cluster type:</strong> distributed.LocalCluster</td>\n",
       "        \n",
       "        </tr>\n",
       "\n",
       "        \n",
       "            <tr>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
       "                </td>\n",
       "                <td style=\"text-align: left;\"></td>\n",
       "            </tr>\n",
       "        \n",
       "\n",
       "        </table>\n",
       "\n",
       "        \n",
       "            <details>\n",
       "            <summary style=\"margin-bottom: 20px;\"><h3 style=\"display: inline;\">Cluster Info</h3></summary>\n",
       "            <div class=\"jp-RenderedHTMLCommon jp-RenderedHTML jp-mod-trusted jp-OutputArea-output\">\n",
       "    <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\">\n",
       "    </div>\n",
       "    <div style=\"margin-left: 48px;\">\n",
       "        <h3 style=\"margin-bottom: 0px; margin-top: 0px;\">LocalCluster</h3>\n",
       "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">8cd4eb69</p>\n",
       "        <table style=\"width: 100%; text-align: left;\">\n",
       "            <tr>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
       "                </td>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Workers:</strong> 1\n",
       "                </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Total threads:</strong> 16\n",
       "                </td>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Total memory:</strong> 7.68 GiB\n",
       "                </td>\n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "    <td style=\"text-align: left;\"><strong>Status:</strong> running</td>\n",
       "    <td style=\"text-align: left;\"><strong>Using processes:</strong> True</td>\n",
       "</tr>\n",
       "\n",
       "            \n",
       "        </table>\n",
       "\n",
       "        <details>\n",
       "            <summary style=\"margin-bottom: 20px;\">\n",
       "                <h3 style=\"display: inline;\">Scheduler Info</h3>\n",
       "            </summary>\n",
       "\n",
       "            <div style=\"\">\n",
       "    <div>\n",
       "        <div style=\"width: 24px; height: 24px; background-color: #FFF7E5; border: 3px solid #FF6132; border-radius: 5px; position: absolute;\"> </div>\n",
       "        <div style=\"margin-left: 48px;\">\n",
       "            <h3 style=\"margin-bottom: 0px;\">Scheduler</h3>\n",
       "            <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Scheduler-57d5e2b6-c2c7-4d2a-9d94-d3dacfbb1211</p>\n",
       "            <table style=\"width: 100%; text-align: left;\">\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Comm:</strong> tcp://127.0.0.1:39575\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Workers:</strong> 1\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Total threads:</strong> 16\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Started:</strong> Just now\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Total memory:</strong> 7.68 GiB\n",
       "                    </td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "\n",
       "    <details style=\"margin-left: 48px;\">\n",
       "        <summary style=\"margin-bottom: 20px;\">\n",
       "            <h3 style=\"display: inline;\">Workers</h3>\n",
       "        </summary>\n",
       "\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 0</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://192.168.43.239:35633\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 16\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://192.168.43.239:43573/status\" target=\"_blank\">http://192.168.43.239:43573/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 7.68 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:44393\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /home/red/workspaces/qiskit_python/dask_testings/dask-worker-space/worker-zde5hd30\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "\n",
       "    </details>\n",
       "</div>\n",
       "\n",
       "        </details>\n",
       "    </div>\n",
       "</div>\n",
       "            </details>\n",
       "        \n",
       "\n",
       "    </div>\n",
       "</div>"
      ],
      "text/plain": [
       "<Client: 'tcp://127.0.0.1:39575' processes=1 threads=16, memory=7.68 GiB>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "client_localcluster"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "637bbee7",
   "metadata": {},
   "outputs": [],
   "source": [
    "qbackend = Aer.get_backend('qasm_simulator')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "6fa20de9",
   "metadata": {},
   "outputs": [],
   "source": [
    "from qiskit import execute"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "f554abc6",
   "metadata": {},
   "outputs": [],
   "source": [
    "result_ideal = execute(qc, qbackend, executor=client_localcluster).result()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "22abcc7f",
   "metadata": {},
   "outputs": [],
   "source": [
    "counts=result.get_counts(qc[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "7b4f26c6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot_histogram(counts, title=\"Bell State counts\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "8c8f7a51",
   "metadata": {},
   "outputs": [],
   "source": [
    "local_cluster_1.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "0ea11368",
   "metadata": {},
   "outputs": [],
   "source": [
    "client_localcluster.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7c1264b9",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "69345f05",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a7117367",
   "metadata": {},
   "outputs": [],
   "source": [
    "##################################################################################################"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5a5457a0",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "b6e4db80",
   "metadata": {},
   "outputs": [],
   "source": [
    "from dask.distributed import Client"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "d87bb6f2",
   "metadata": {},
   "outputs": [],
   "source": [
    "exc=Client(n_workers=2, threads_per_worker=1, memory_limit='500MB')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "a72088e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "qbackend = Aer.get_backend('qasm_simulator')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "8c6b1c5f",
   "metadata": {},
   "outputs": [],
   "source": [
    "from qiskit import execute"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "f6196958",
   "metadata": {},
   "outputs": [],
   "source": [
    "result_ideal = execute(qc, qbackend, executor=exc).result()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "1243d0ff",
   "metadata": {},
   "outputs": [],
   "source": [
    "counts=result.get_counts(qc[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "49c520f4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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TREQkIiVNERGRiJQ0RUREIlLSFBERiUhJU0REJCIlTRERkYiUNEVERCLSU07iQEOoiYi0DappioiIRKSkKSIiEpGSpoiISERKmiIiIhEpaYqIiESkpCkiIhKRkqaIiEhESpoiIiIRKWmKiIhEpKQpIiISkZKmiIhIREqaIiIiESlpioiIRKSkKSIiEpGSpoiISERKmiIiIhEpaYqIiESkpCkiIhKRkqaIiEhESpoiIiIRKWmKiIhEpKQpIiISkZKmiIhIREqaIiIiESlpioiIRKSkKSIiEpGSpoiISERKmiIiIhEpaYqIiESkpCkiIhKRkqaIiEhESpoiIiIRxZQ0zaydmbVr8PlYM/uKmX0m/qGJiIikl1hrmi8BNwGYWRegFPghMM/MvhTn2ERERNJKrEmzEPhT+P5C4GOgD3AdcFsc4xIREUk7sSbNLsCH4ftzgN+7+ycEifRTcYxLREQk7cSaND8APmNm/wZMAF4Ly3sCu+IZmIiISLrJjHH++4AngB3AGmBBWD4WeCeOcYmIiKSdmJKmu//CzJYCOcBr7r4vnPR34I54ByciIpJOYq1p4u6lBL1mG5a9FLeIRERE0lTMgxuY2Q1mtsLMdpnZoLBsipldEv/wRERE0kesgxvcAtwOPAJYg0nrgf+MX1giIiLpJ9aa5teA69z9AaCmQXkZkB+3qERERNJQrEnzeGB5E+WfAEe1PBwREZH0FWvSXA0UNFE+EShveTgiIiLpK9besz8CpptZZ4JrmqPN7Crgv4Br4h2ciIhIOon1Ps1fmVkmcDfQmWCgg/XAze7+VALiExERSRuHc5/mDGCGmfUG2rn7pviHJSIikn5iTpp13H1zPAMRERFJd4fsCGRmfzWzHuH7d8LPTb6ibDAcHKHCzPaY2VIz+2wz844zszfNbIuZ7Tazv5nZAY8gM7OLzKzczKrDfy+IEouIiEgsotQ0nwWqG7z3w92YmV0KPADcACwM/51tZkPd/YMmFtkB/JRgMPhdwGeAX5jZLnd/KFznaOAp4DvAcwTP+XzazD7j7ksON1YREZHGDpk03f27Dd7f2cLtTQYeC6+LAtxkZucCXwe+1cS2lwJLGxRVmNmFwGeBh8KyW4A/u/v3w8/fN7PPheWXtTBeERGRejFd0zSzPwEXuvuHjcq7Ac+7+xnNLNsBOIXgtpWGXgVOj7j9k8N572xQPBr4WaNZX+Egw/qZ2fXA9QD9+vVj3rx5AAwaNIiuXbuybNkyAHr16kV+fj4LFgRPP8vMzGTMmDGUlZXx8ccfA1BYWMjGjRtJ9fO3q6urqaioYMOGDQAMHTqU2tpa3nvvPQCysrLIzs5myZKg4t2lSxcKCwtZtGgR1dVBI8KYMWNYuXIlmzYF/bqGDRtGdXU1q1atAiAnJ4e+fftSWhqM1d+tWzcKCgpYuHAhNTXB4FBjx45lxYoVbNmyBYDhw4ezfft2Vq9eDcCAAQPo2bMnZWVlAPTo0YPhw4czf/583B0zY9y4cSxbtoxt27YBUFBQwNatW6msrARa9j2tXbsWgBNOOIGOHTuyfHkwTkefPn0YPHgwCxcuBKBjx46MHj2a0tJSduzYAcCoUaNYt24dVVVVAOTl5ZGRkUF5ed3tyeNb8hW2WN3fsb6n5r+nY489loEDB7Jo0SIAjjrqKEaNGsWSJUvYvXs3AKNHj9b/pzb+PTXH3KO3tprZPuDYxj1mzawPUOXu7ZtZth9QBYxz9wUNyqcCV7h7XjPLrgOOIUjy33X3uxpM2wt8xd1/3aDsS8AMd+/Y3P4UFhZ63R9tS1x3f4tX0SIzbknt9kV/AyKtiZktdffCpqZFqmmaWcNRgE4ys60NPmcAEwgSYqJ8FugCnAbca2YV7v5EArcnIiJygKjNs6UEHYCcoDm1sd3ATYdYx2agFujbqLwvsKG5Bd29Inz7jpn1JWierUuaGw5nnSIiIrGKOvbsQIILdwacGn6ue2UB3dz9l82twN33EnTqObvRpLOBN2OMuWGz66I4rFNEROSQItU03X1N+Dbmh1Y3ch/whJmVAG8QPGqsH/AwgJn9Otzel8LPNwEVwHvh8mOB2/hXz1kIbmFZYGb/DTwPXAB8DhjTwlhFRET2c8ikGd7i8Qd3/yR8f1Du/twhpj9lZr0IHmR9HMFjxiY2SMr9Gy2SAdwLDCB4fuffgf8mTLLhOt80s0nA94C7wnku1T2aIiISb1Fqms8AxwKbwvcH4wRJrlnhoAQPHWTa+Eaf7wfuj7DOZw4Rm4iISItFGdygXVPvRURE2holQRERkYiiXtOM5FDXNEVERI5kUa9pRhHpmqaIiMiRKqZrmiIiIm2ZEqKIiEhESb1PU0RE5EiW9Ps0RUREjlS6T1NERCQiJUEREZGIYk6aZlZgZr82s9Lw9USj522KiIi0SjElTTO7AniLYLD1l8NXX6DEzK6Mf3giIiLpI+pDqOt8H7jD3e9uWGhm3yJ4ysiT8QpMREQk3cTaPHsM8Lsmyp8G+rQ8HBERkfQVa9L8MzC+ifLxwPyWBiMiIpLOYh2wfTZwj5kVAovDstOAC4E74x6diIhIGjncAduvD18N/YyDPFxaRESkNdCA7SIiIhEpIYqIiEQU6y0nmFkP4N+B/kCHhtPc/a44xSUiIpJ2YkqaZnYa8BJQTXD7SRXBQAfVQCWgpCkiIq1WrM2zPwR+A2QBe4AzCGqcpcC98Q1NREQkvcSaNE8Cpru7A7VAR3ffCExBt5yIiEgrF2vS3Nvg/Ubg+PD9DqBfXCISERFJU7F2BCoDRgIrgXnA98ysL3Al8Nf4hiYiIpJeYq1pfhtYH76/HfgnwaAGPThwsAMREZFWJaaapruXNnj/T4JbT0RERNqEmO/TBDCzTwFDwo/l7r46fiGJiIikp1jv0+wFPAoUAfv+VWwvAte4+5Y4xyciIpI2Yr2m+b9ALvBZoFP4GgsMBGbENzQREZH0Emvz7ATgTHdf1KDsDTP7KvDH+IUlIiKSfmKtaf4T2NlE+S5ATbMiItKqxZo07wLuN7OsuoLw/Y/RuLMiItLKHbJ51szeAbxB0UCg0syqws9149D2IbjmKSIi0ipFuab5TMKjEBEROQIcMmm6+3eTEYiIiEi6O9zBDc4AhhI0265w93nxDEpERCQdxTq4QRbwe+AU/jUGbT8zKwUucPf1B11YRETkCBdr79mfEjxHM9fdc9w9BzghLPtpvIMTERFJJ7E2z54NjHf3iroCd19tZjcDc+MamYiISJqJtaYJ+99+0lyZiIhIqxJr0pwL/MzMcuoKzKw/cD+qaYqISCsXa9K8Gfg3YLWZrTGzNcDfw7Kb4x2ciIhIOon1muYW4FRgPPDpsOxdd9dg7SIi0upFTppmlgF8BAx399eA1xIWlYiISBqK3Dzr7rXAGqBD4sIRERFJX7Fe0/x/wDQz652IYERERNJZrNc0byN4ykmVma2j0bM13f2keAUmIiKSbmJNms8Q3JNpCYhFREQkrUVKmmbWGfgh8AWgPcE9mTe5++bEhSYiIpJeol7T/C5wNfASMBM4C/h5gmISERFJS1GbZy8ErnX3YgAz+w3whpllhL1qRUREWr2oNc0c4PW6D+5eAtQA/RIRlIiISDqKmjQzgL2Nymo4zIdYi4iIHImiJj0DnjSz6gZlnYAZZrarrsDdi+IZnIiISDqJmjQfb6LsyXgGIiIiku4iJU13/49EByIiIpLuDuch1CIiIm2SkqaIiEhESpoiIiIRKWmKiIhEpKQpIiISkZKmiIhIREqaIiIiESlpioiIRKSkKSIiElHSk6aZ3WBmFWa2x8yWmtlnm5n3ODP7rZn9zcxqzeyxJua52sy8iVenhO6IiIi0OUlNmmZ2KfAAcDdwMvAmMNvM+h9kkY7AZmAasKSZVe8Cjmv4cvc98YpbREQEkl/TnAw85u4z3P1dd78J+Afw9aZmdvdKd7/Z3R8DtjazXnf3DQ1f8Q9dRETauqQlTTPrAJwCvNpo0qvA6S1c/VFmtsbM1pnZi2Z2cgvXJyIicoBkPkS6N8HDrDc2Kt8InNWC9b4HXAMsA7oC3wDeMLPh7r6q8cxmdj1wPUC/fv2YN28eAIMGDaJr164sW7YMgF69epGfn8+CBQsAyMzMZMyYMZSVlfHxxx8DUFhYyMaNG4FPtSD8lquurqaiooING4IK9tChQ6mtreW9994DICsri+zsbJYsCVq4u3TpQmFhIYsWLaK6OnhE6pgxY1i5ciWbNm0CYNiwYVRXV7NqVXAIc3Jy6Nu3L6WlpQB069aNgoICFi5cSE1NDQBjx45lxYoVbNmyBYDhw4ezfft2Vq9eDcCAAQPo2bMnZWVlAPTo0YPhw4czf/583B0zY9y4cSxbtoxt27YBUFBQwNatW6msrARa9j2tXbsWgBNOOIGOHTuyfPlyAPr06cPgwYNZuHAhAB07dmT06NGUlpayY8cOAEaNGsW6deuoqqoCIC8vj4yMDMrLy8NvYXxLvsIWq/s71vfU/Pd07LHHMnDgQBYtWgTAUUcdxahRo1iyZAm7d+8GYPTo0fr/1Ma/p+aYuzc7Q7yYWT+gChjn7gsalE8FrnD3vEMs/yKw2d2vPsR8GcDbwJ/d/ebm5i0sLPS6P9qWuO7+Fq+iRWbcktrti/4GRFoTM1vq7oVNTUvmNc3NQC3Qt1F5XyBu1yDdvRYoBU6I1zpFREQgiUnT3fcCS4GzG006m6AXbVyYmQEnEXQwEhERiZtkXtMEuA94wsxKgDeArwH9gIcBzOzXAO7+pboFzGxE+LYbsC/8vNfdy8Pp3wEWA6vCeW4mSJpN9sgVERE5XElNmu7+lJn1Am4nuJ9yOTDR3deEszR1v+ZfGn0+H1gDDAg/Hw08AhwLfBTOP9bdS+IavIiItHnJrmni7g8BDx1k2vgmyuwQ67sVuDUuwYmIiDRDY8+KiIhEpKQpIiISkZKmiIhIREqaIiIiESlpioiIRKSkKSIiEpGSpoiISERKmiIiIhEpaYqIiESkpCkiIhKRkqaIiEhESpoiIiIRKWmKiIhEpKQpIiISkZKmiIhIREqaIiIiESlpioiIRKSkKSIiEpGSpoiISERKmiIiIhEpaYpI3M2ZM4e8vDxyc3OZNm3aAdOrq6u59NJLyc3NZdSoUVRWVgLwm9/8hhEjRtS/2rVrx9tvvw3A3r17uf766xk8eDCf/vSnefbZZ5O4RyKBzFQHICKtS21tLTfeeCOvvfYa2dnZjBw5kqKiIoYOHVo/z6OPPkqPHj14//33KS4uZsqUKTz11FNcccUVXHHFFQC88847fOELX2DEiBEAfP/736dPnz6sXLmSffv2sXXr1lTsnrRxqmmKSFyVlJSQm5vLoEGD6NChA5MmTWLWrFn7zTNr1iy+/OUvA3DxxRczd+5c3H2/eWbOnMmkSZPqP//yl7/kW9/6FgDt2rWjd+/eCd4TkQMpaUrcHW7THMBf//pXRo8eTX5+PieeeCJ79uwB4KmnnuKkk04iPz+fKVOmJGtX5DBUVVWRk5NT/zk7O5uqqqqDzpOZmUn37t3ZsmXLfvM89dRTXHbZZQB8+OGHANxxxx0UFBTwxS9+kY0bNyZwL0SapqQpcVXXNDd79mzKy8uZOXMm5eXl+83TsGnu1ltvrU+CNTU1XHnllTz88MOsWLGCefPm0b59e7Zs2cI3v/lN5s6dy4oVK9iwYQNz585Nxe5JkixZsoTOnTszbNgwIPjbWLduHaeffjplZWWMHj2a2267LcVRSlukpClx1ZKmuVdffZWTTjqJ4cOHA9CrVy8yMjJYvXo1J5xwAscccwwAZ511ljqBpLGsrCzWrl1b/3ndunVkZWUddJ6amho++ugjevXqVT+9uLi4vpYJwd9C586dufDCCwH44he/SFlZWSJ3Q6RJSpoSVy1pmlu5ciVmxoQJEygoKOAHP/gBALm5ubz33ntUVlZSU1PD888/v9+PsqSXkSNHsmrVKioqKti7dy/FxcUUFRXtN09RURGPP/44AM888wxnnHEGZgbAvn37+N3vfrff9Uwz4/zzz2fevHkAzJ07d7+ORSLJot6zkjZqampYuHAhb731Fp07d+bMM8/klFNO4cwzz+TnP/85l156Ke3ateP000/n73//e6rDlYPIzMxk+vTpTJgwgdraWq655hry8/OZOnUqhYWFFBUVce2113LVVVeRm5tLz549KS4url9+wYIF5OTkMGjQoP3We++993LVVVdxyy23cMwxx/CrX/0q2bsmoqQp8RVL01x2dvZ+TXPZ2dmMHTu2vlfkxIkTKSsr48wzz+T888/n/PPPB+CRRx4hIyMjeTslMZs4cSITJ07cr+yuu+6qf9+pUyeefvrpJpcdP348ixcvPqD8+OOPZ8GCBfENVCRGap6VuGpJ09yECRN455132LVrFzU1NcyfP7++CW7Tpk0AbNu2jYceeoivfOUryd0xERFU05Q4a0nTXI8ePZg8eTIjR47EzJg4cSLnnXceAN/4xjdYtmwZAFOnTmXw4MEp20cRabus8Q3FbUlhYaGXlpa2eD3X3d/yWFpixi2p3b7obwB0DKT1MLOl7l7Y1DQ1z4qIiESkpCkiIhKRrmlKXKhpTkTaAtU0RUREIlLSFBERiUhJU0REJCIlTRERkYiUNEVERCJS0hQREYlISVNERCQiJU0REZGIlDRFREQiUtIUERGJSElTREQkIiVNERGRiJQ0RUREIlLSFBERiUhJU0REJCIlTRERkYiUNEVERCJS0hQREYlISVNERCQiJU0REZGIlDRFREQiUtIUEZG4mzNnDnl5eeTm5jJt2rQDpldXV3PppZeSm5vLqFGjqKysrJ92zz33kJubS15eHq+88kp9+QMPPMCwYcPIz8/n/vvvT8JeHEhJU0RE4qq2tpYbb7yR2bNnU15ezsyZMykvL99vnkcffZQePXrw/vvvc+uttzJlyhQAysvLKS4uZsWKFcyZM4cbbriB2tpali9fzowZMygpKWHZsmW8+OKLvP/++0nfNyVNEZEESERNa8CAAZx44omMGDGCwsLCZOzGYSkpKSE3N5dBgwbRoUMHJk2axKxZs/abZ9asWXz5y18G4OKLL2bu3Lm4O7NmzWLSpEl07NiRgQMHkpubS0lJCe+++y6jRo2ic+fOZGZmMm7cOJ577rmk75uSpohInCWiplXnz3/+M2+//TalpaVJ3adYVFVVkZOTU/85Ozubqqqqg86TmZlJ9+7d2bJly0GXHTZsGK+//jpbtmxh165dvPzyy6xduzY5O9SAkqaISJwloqbV1g0ZMoQpU6ZwzjnncO655zJixAgyMjKSHoeSpohInCWipgVgZpxzzjmccsopPPLII0nYk8OTlZW1Xy1w3bp1ZGVlHXSempoaPvroI3r16tXsstdeey1Lly5lwYIF9OjRg8GDBydhb/anpCkicoRYuHAhZWVlzJ49mwcffJAFCxakOqQmjRw5klWrVlFRUcHevXspLi6mqKhov3mKiop4/PHHAXjmmWc444wzMDOKioooLi6murqaiooKVq1axamnngrApk2bAPjggw947rnnuPzyy5O7Y0Bm0rcoItLKxVLTys7OjlzTqvu3T58+XHDBBZSUlDB27Ngk7FFsMjMzmT59OhMmTKC2tpZrrrmG/Px8pk6dSmFhIUVFRVx77bVcddVV5Obm0rNnT4qLiwHIz8/nkksuYejQoWRmZvLggw/WN8NedNFFbNmyhfbt2/Pggw9y9NFHJ3/fkr5FEZFWrmFNKysri+LiYn7729/uN09dTWv06NEH1LQuv/xyJk+ezPr16+trWjt37mTfvn107dqVnTt38uqrrzJ16tQU7eGhTZw4kYkTJ+5Xdtddd9W/79SpE08//XSTy37729/m29/+9gHlr7/+enyDPAxKmiIicZaImtbGjRu54IILgOAa4OWXX865556byt1sk5KeNM3sBuCbwHHACuAWdz/o6YOZjQPuA/KB9cAP3P3hlqxTRCTR4l3TGjRoEMuWLYt/oHF03f2p3f6MWxK/jaR2BDKzS4EHgLuBk4E3gdlm1v8g8w8EXg7nOxm4B/iZmV10uOsUERE5XMmuaU4GHnP3GeHnm8zsXODrwLeamP9rwHp3vyn8/K6ZjQJuA549zHWKiMRdW6hlSRJrmmbWATgFeLXRpFeB0w+y2Ogm5n8FKDSz9oe5ThERkcNi7p6cDZn1A6qAce6+oEH5VOAKd89rYpmVwJPufleDsrHAfKAfYIexzuuB68OPecB7cdi9luoNbE51ECnW1o9BW99/0DFo6/sP6XMMjnf3Y5qa0OZ6z7r7I0BaDaVhZqXunr6jLydBWz8GbX3/Qcegre8/HBnHIJlJczNQC/RtVN4X2HCQZTYcZP6acH12GOsUERE5LEm7punue4GlwNmNJp1N0OO1KYsOMn+pu39ymOsUERE5LMlunr0PeMLMSoA3CHrH9gMeBjCzXwO4+5fC+R8G/tPM7gd+AXwGuBq4LOo6jxBp1VycIm39GLT1/Qcdg7a+/3AEHIOkdQSq32AwEMF/EQxEsBy4ta4Tj5nNA3D38Q3mHwf8hH8NbnDvQQY3aHKdIiIi8ZL0pCkiInKk0qPBREREIlLSFBERiUhJMw2YmaU6BhEROTQlzTTgurDcpumkSeTIoY5AKWJmHYGTgAuAjwgeafY+sNbdd5qZKZm2LfrO2zYza+fu+1IdRyo1PAbp+v9BSTNFzOynwIXAP4AewACCW2qeB+5399UpCy7JzCyDoMLdpn4wzKwLMBaYBGwDVgErgeXuvj6VsSWbmWUC+9ra34AcyMy6uvv2VMdxMEqaKWBmQ4HFwMXAUnffYmbHANcCXwWOBb4BzEjHM614MbNT3H1po7IMgh/PVrvfdczscYKkuYrgxCmHIHm+TfDd/yl10SWHmY1x94WNytpUAjWzHOAaYCTwd4KHSKwA/uru29K1xhVPZjaE4DGPJxO0uH0ALAMWuPvacJ60OA5KmilgZv8DnOvuY8PPme5e02D63QS10DNaa43DzE4g+HEoJ3iU2xPu/pcG041gxKqTgbfDIRNbjfDEaQnBkI9vuXutmXUHLgG+AhQCdwHfo5WeRJjZpwm+/53AS8DP3P2NBtMNaA9MAErcfWNKAk0gMxtI8Gzgo4C3gGEEY2dvAV4H7nP3v6cuwsQzs08BLwMbCUZ1+zRBxaEjQQL9X3dv/PjHlFFHoNR4FzjOzHIB3L3GzDLNrFM4fQawi6Am2lpdRnBW/RpwGvCimS02s/8ys5wwSfQhqJH3SWGciXIOsMzdF4cJs4O7f+TuM9x9FHAjQfL8VGtMmKELCWoTdwNZwHwz22BmPzKzuv0+GpgFdEhdmAk1heDxhp9z9y+5ewHBc4R/A/wfYLGZfT6VASbBbQSXJc5z92+5+wXAF4CfEiTP35vZtSmMbz9KmqmxgOBJLS+a2SVm1tHda9x9D4C7VwAZQHUqg0ywPIKzy3uB64D/IRgC8UpgkZn9gWC84XfdfV3KokycZcDxZnYmBA80CE+cjgqnPw2sYf9xllubLIKaxS+AzwNnAL8EzgNWmdlfgWKCv4G1KYsysfKB+e6+wczah61OH7j7ve5+PPBH4Gtm1q4V97I+Hihz9+1mlmFmGe6+0d0fC1vjHgauM7POKY4TUNJMCXffApxJ8MN5J/AHM/uemZ1hZoPN7AGCQeefTGGYCRNes3oJ2ODuG9x9hbs/TjB+8FeBacBuYCLBgPyt0SLgb8CTZvY1MzsqPHHaDfV/I11Ijwfyxl147foloNzdt4avBQT/HyYARQTN1+OBH6UqziSYC1wZdn75JGx1at/g5OlBYDBwaitucXgF+A8z+7S719a1vJhZXevCowRN1qNSF+K/6JpmCplZL4ImmLOBQQS1rx7AfOAX7l6cwvCSxszau/snjcouBJ4Burj7rtRElljhD+P3CZrhdxM0Rc8CdgD/AYwB8lrr/jfU1O0WZjYBmE3r/hs4BfgDwfN/73T3FxpN/zRBx7CerfgYDASeI2iK/3/u/stG04cBZcDR6XAMlDSTzMyygdzw406CjhC7CZJmF4JrmZvdfWtqIky8g92PFtZAa93dzexHQGHDJ960JmETVG1428kY4LME13YLCJrm/0jQg3Z2CsNMmLCp0ZrrIWtmdwKj3X1C0gJLorreoGHfhh8QfP91HYBmA0MJTqgq3P2S1EWaeGbWFbgHuIKg89erBP8HhhH8/3i7wSMjU0pJM4nM7OsEXcuHEyTH1cA64M/AM634us1+Gpw4GLAPeM/dNzSYbgTXuKrc/a3URJlcYVPUMQQnUJ2Aj9x9Z2qjSi0zGw/8091XpDiUhAs7AZ5F0Op0KsG1zq0EnQKfdPc1KQwvYcL/6+3CE8hOwIkEt2GdQXACWUFwmeq5hr8RqaSkmSRhU+z7wI+BnxP8QJ5FcM1mKMHABje7e3m63I+UCI1OHHYSHJN1BE2Tz7v7eykML+HCa5e7G3xuRzCwQ6v8vpvS+Bi0ReH3/nmC34GjCHqSv+7uH4XJw4Gu7t4qr2k3p+G92mbW3d0/SnVMDSlpJomZ3QRcGd5O0HjaGIKmiSyCC/6t8j/KIU4chhAkz1vDE4cMd69NVayJYGY9CDp/vURw9vxmXbJsmDzDG73XeRqPinK4DnEMrMH7IcA/3P3DVMWaKGFT5KPA5whaWqoIWl12ETRJPunuq8J5W+XQembWHhgIrHH3A+4SSOeKg3rPJs9eoGt4URsz61jXO8yDEVGuAPYQ3L/XWl0OrHT377n7Fnf/m7tPd/eLCXrNdia4Dad3a0uYoSsJegGeQnDb0ftmdpeZ5bl73Zl1DvBbghOK1qi5Y1CXMOuOQc/UhZlQNxN0+pvo7n0J/l/8GPgrQcfA+ywYIYzWmDBDNwJ/AR42s/PN7NiwhgkEZ49m1s3M/j1MsGlDSTN5niE4q7wl7F5eHd6b1w7A3T8APgSyUxhjorX1E4eTgF8R/DCeDPyO4D7M8nBgh+sJksoJ3nrHHtYxgHOBx+uu14cnj08C/wncSjAizhMpjC8ZLgVKCPo2PE9wC9YPzWyMBSNjQXAy8Z3GPetTTUkzCcKL3VuB2wku9K83s0fD7uaYWX8zu5LgIvjvUhdpwrXZEwcLnmpTTvAUm03u/ld3/xbBcHkTwml3EtyCcm/KAk0gHYP6HuLLgYvqapPhDf3twnsUFwBfA7LNbHgqY02UcL8/Iegd/lmCwQ0eJTiRWgD8ycymALcQ3KubVnRNM4nM7GigP3A6wSPBPhNO2kBwTeMJd78zJcElWIPRTD4PPEDQ9PY74CGCZppsgl5zPwdOdPfKFISZUGHS6OHB6C8HPNkl7C36J6C/t85RkHQMADM7jWCYvGcIxpbd2Gh6DsFQm3nuXpWCEBPKzI4jeLJPubu/0mjayQTDR04ifIhBuh0DJc0EM7M+wFXA/yUY3WU3QW1qIUGP0fYETRRz3H1lisJMmrZ64tDgnrxBwM6GP5QNpk0Frnb3QamLNHF0DOo7fLUjGLziboKHEjwLPEXwZI+TCGpcQ919ZKriTDQLBvZwd9/T4ISaBte1v09wzffkVMV4MEqaCWZmjxHcc/UHgibangTNsIOBTcDt7p52TRDx1NZPHBrs/2SC77yG4DmqTxPcf7Yz/OG4Dljv7i+mLNgE0TE4UHgCeTXBtbsRwHaCa/pvAfe0gd+FJnvIWjDGbBnwK3dPu2Z6Jc0ECn8EthOcMS1oUNafYBzFrxCMBHSJu5elLNAEa+snDgfZ/5MJOnysA37oafToo0TQMQAz6wZsb5gowppnJ4LRwIYR1MBb8/+FA45BE/N0IugoNNPT8JGASpoJZGb5BE9puM7dFzcxvSPBUx5eCztEtDpt/cShmf3PJhg27TqCjhCXtcb9Bx2DOmb2C4IeoyUE9yd+3MQ8PbwVP3g64jE4Op3vz1Xv2cRaTVCT+omZnVDXS7ROeFPv48C/pyK4JBlKMBRW/RmjB9a4+++A8wmaar+YmvAS7mD7v9bdnya4frWd1rv/oGOAmV1GcHLwY4JB+X9oZheaWW54fQ8LxiH+lZmd2EoTZlPH4AIz+1SDY3AU8HjdbWnpSEkzgTwYKuzbBMNk/Rr4kpnlhP856truxxF0QW+t2vqJw6H2fy+te/9BxwCCsVQfIRhP9SGCjnBPElzTvd3MziC45jvR3d9JWZSJ1dQxqOtFXHcMrgb+3d3T9jdRSTPBwmbZKwl6xv2c4PaKmWb2S4LnKebQSu9JA504tPX9Bx2D8N7MCuBDd1/t7j9y9xOBkQSPAfwywe1XP6OVDmrQmo6BrmkmUdiD8DzgCwS95JYDT7v731IZVzKEzS13EDxceCfBCCD/JBh79h/AV1rxGXab339o28fAgjF3+7r73ywYBeuTRh2CLgVmAgXu/naKwkyo1nIMlDRTxFrpQMyH0pZPHED7DzoGdcJmavPgsVjXAQ+4e+dUx5VMR+IxUNKUlGmrJw512vr+g45BHTObDGS4+w9THUuqHCnHQElTRCTFLHiSR21bPoE4Uo6BkqaIiEhE6j0rIiISkZKmiIhIREqaIiIiESlpioiIRKSkKSIiEtH/B0oeZDrWlp/uAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot_histogram(counts, title=\"Bell State counts\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "b466a4b1",
   "metadata": {},
   "outputs": [],
   "source": [
    "exc.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ae93da49",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f2f93d93",
   "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": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}