FirstCode.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "cardiovascular-latest",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "# Importing standard Qiskit libraries\n",
    "from qiskit import QuantumCircuit, execute, Aer, IBMQ\n",
    "from qiskit.compiler import transpile, assemble\n",
    "from qiskit.tools.jupyter import *\n",
    "from qiskit.visualization import *\n",
    "from ibm_quantum_widgets import *\n",
    "\n",
    "# Loading your IBM Q account(s)\n",
    "provider = IBMQ.load_account()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "delayed-hughes",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<qiskit.circuit.instructionset.InstructionSet at 0x7fdc28163c00>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qc = QuantumCircuit(2,2)\n",
    "qc.h(0)\n",
    "qc.cx(0,1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "committed-secret",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 327.252x204.68 with 1 Axes>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qc.measure(range(2), range(2))\n",
    "qc.draw()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "straight-archive",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<frozen importlib._bootstrap>:219: RuntimeWarning: scipy._lib.messagestream.MessageStream size changed, may indicate binary incompatibility. Expected 56 from C header, got 64 from PyObject\n"
     ]
    }
   ],
   "source": [
    "backend = Aer.get_backend('qasm_simulator')\n",
    "job_simulator = execute(qc, backend, shots=1024)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "statistical-hygiene",
   "metadata": {},
   "outputs": [],
   "source": [
    "Results_simulator = job_simulator.result()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "critical-meeting",
   "metadata": {},
   "outputs": [],
   "source": [
    "counts = Results_simulator.get_counts(qc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "molecular-speaker",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'11': 517, '00': 507}\n"
     ]
    }
   ],
   "source": [
    "print(counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "3a5cdfee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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+XwTmAbuBZ4GF5fYZwJMVrEuSpF6nS6GZmX8fEUuB0cAjmflSedEvgesrXZwkSb1JV7c0ycwmSrNmW7d9v2IVSZLUS3X54gYRcWVEPBURz0fEuHLbxyPiXZUvT5Kk3qOrFze4BrgO+CoQrRb9CvjzypUlSVLv09UtzQ8Bl2fmbcC+Vu3LgMkVq0qSpF6oq6H5emBFO+0vAv0PvxxJknqvrobmGmBaO+0XAisPvxxJknqvrs6e/QJwR0S8mtIxzYaI+BPgL4E5lS5OkqTepKvnaX49IqqAzwGvpnShg18BV2fmfUegPkmSeo1DOU9zLjA3Ik4CjsvMrZUvS5Kk3qfLoblfZm6rZCGSJPV2Bw3NiPg5MDMzd0bEk0B21Dczz6xkcZIk9SZFtjTvB5pbPe8wNCVJ6ssOGpqZeWOr5586otVIktSLdfUyej+OiBPbaR8UET+uWFWSJPVCXb24wfnA8e20nwCcd9jVSJLUixWaPRsRra8CdGZE7Gj1uh8wG9hYycIkSeptip5y0kRpAlAC89tZvge4qlJFSZLUGxUNzbGULpu3BngD8OtWy/YCWzOzpcK1SZLUqxQKzcx8tvy0yzetliSpryhycYN3AP+amS+Wn3coM/+5YpVJktTLFNnS/A4wAthaft6RpDQpSJKkPqnIxQ2Oa++5JEnHGkNQkqSCih7TLMRjmpKkvqzoMc0iPKYpSerTunRMU5KkY5mBKElSQZ6nKUlSQZ6nKUlSQZ6nKUlSQd0eghFxZUSsjYgXImJpRHR4H86ImBkRj0fE9ojYExG/iIiPtdPv4ohYGRHN5Z9vP7KfQpJ0LOpyaEbEtIi4JyKayo95be632dm6lwC3AZ8DzgIeBx6KiFM6WGU3cDswA5gEfAa4MSKubDVmA3AfcC8wtfzz2xFR39XPJklSZ7oUmhHxPuBnwMnAv5Ufw4ElEfHHBYa4FrgrM+dm5tOZeRWwCfhwe50zc2lmfjMzn8rMtZn5j8DDQOut02uAf8/Mz5bH/CywoNwuSVLFdHVL87PA9Zk5KzNvKD/eAlxPaSuwQxFxPHA2r7yJ9Xzg3CJvHhFnlfs+2qq5oZ0xHy46piRJRRW9CfV+rwO+1U77tykFZ2dOojS7dkub9i3ABZ2tGBEbyu9dBdyYmXe2WjyigzFHdDDWFcAVACNHjmTBggUAjBs3joEDB7J8+XIAhg4dyuTJk1m4cCEAVVVVTJ8+nWXLlvHcc88BUFdXx5YtW4BTOytfR6mmpiZ2794NQH19PRs2bGDjxo0ATJw4kX79+rFy5UoARowYwdixY1m8eDEA/fv3p76+nsbGRvbs2QNAQ0MDa9euZfPmzQBMmjSJlpYWVq1aBUBNTQ2jRo2isbERgAEDBlBXV8fixYtpbm4GYPr06TzzzDNs3boVgClTptDc3Mzq1asBGD16NMOHD6epqQmAQYMGMW3aNBYtWsS+ffsAmDFjBk899RTbt28HoLa2ll27drFmzRoAxowZw5AhQ1i2bBkAgwcPpra2lkcffZTMJCKYOXMmy5cvZ+fOnQBMmzaNHTt2sG7dOuDwvk/r168HYPz48VRXV7NixQoAhg0bxoQJE1i0aBEA1dXVNDQ0HNLvCaq7+LdBR4NNmzZV5PvUmcjMwgVFxIPAdzPza23aLwMuzsw/6GTdkcBGYGZmLmzVfgPwvsyc2Mm6Y4EBwBuBvwH+IjPnlZftBS7LzHta9b8UmJuZnX4z6urqcv8/Lofj8lsPewj1QnOv6ekKdKT4ne2bKvWdjYilmVnX3rKuXrD9IeDmiKgDflpueyPwDuBTBxlqG9BC6Rhoa8OBzZ2tmJlry0+fjIjh5feaV27bfChjSpLUVYd6wfYDuzhb+TLwlY4Gycy9EbEUmEVpd+5+s4D7C9Sx33G8fN/K4vIYt7QZ8/EujClJ0kF19wXbvwjMi4glwGPAh4CRwJ0AEXFP+T0vLb++ClgLrCqvPwP4GC8P59uAhRHxCeC7wNuB3wemV7BuSZK6PBHosGTmfRExFLiO0mkrK4ALM/PZcpe252v2o3QMcwywD/gl8AnKIVse8/GIeDel2bs3lftckpmNR/CjSJKOQV0OzYgYDPwBpYA7vvWyzLzpYOtn5lfoYDduZp7f5vWtwK0FxvwOxe/7KUnSIelSaEbEG4HvA82UTgHZSGmLsRlYR2lLT5KkPqmrxytvoXSZuhrgBeDNlLY4myjtRpUkqc/qamieCdyRpZM7W4DqzNwCfJyDn3IiSdJRrauhubfV8y3A68vPd1OaBStJUp/V1YlAy4BzgGcoXRT9M+WLDfwx8PPKliZJUu/S1S3NvwZ+VX5+HfBrShc1GMwrL3YgSVKf0qUtzcxsavX815ROPZEk6ZhwSBc3iIhTgdPLL1dm5prKlSRJUu/U1fM0hwL/AFwEvPTfzfEgMCczt1e4PkmSeo2uHtP8GnAacB5wQvkxAxgLzK1saZIk9S5d3T07G/gfmbm4VdtjEfF/gB9WrixJknqfrm5p/hr4XTvtzwPumpUk9WldDc2bgFsjomZ/Q/n53+J1ZyVJfdxBd89GxJNAtmoaC6yLiI3l1/uvQzuM0jFPSZL6pCLHNL3lliRJFAjNzLyxOwqRJKm3O9SLG7wZmERpt+1TmbmgkkVJktQbdfXiBjXAvwBn89/XoB0ZEU3A2zPzVx2uLEnSUa6rs2dvp3QfzdMyc3RmjgbGl9tur3RxkiT1Jl3dPTsLOD8z1+5vyMw1EXE18KOKViZJUi/T1S1NePnpJ521SZLUp3Q1NH8EfDkiRu9viIhTgFtxS1OS1Md1NTSvBl4DrImIZyPiWeCX5barK12cJEm9SVePaW4H3gCcD/xeue3pzPRi7ZKkPq9waEZEP+C3QG1mPgI8csSqkiSpFyq8ezYzW4BngeOPXDmSJPVeXT2m+Wng8xFx0pEoRpKk3qyrxzQ/RukuJxsjYgNt7q2ZmWdWqjBJknqbrobmdyidkxlHoBZJknq1QqEZEa8GbgH+EHgVpXMyr8rMbUeuNEmSepeixzRvBD4AfB/4BnAB8HdHqCZJknqlortn3wH8aWZ+EyAi7gUei4h+5Vm1kiT1eUW3NEcDP9n/IjOXAPuAkUeiKEmSeqOiodkP2NumbR+HeBNrSZKORkVDL4B/jIjmVm0nAHMj4vn9DZl5USWLkySpNykamne30/aPlSxEkqTerlBoZuYHj3QhkiT1dodyE2pJko5JhqYkSQUZmpIkFWRoSpJUkKEpSVJBhqYkSQUZmpIkFWRoSpJUkKEpSVJBhqYkSQUZmpIkFWRoSpJUkKEpSVJBhqYkSQUZmpIkFWRoSpJUkKEpSVJBhqYkSQUZmpIkFdTtoRkRV0bE2oh4ISKWRsR5nfQ9OSL+KSJ+EREtEXFXO30+EBHZzuOEI/pBJEnHnG4NzYi4BLgN+BxwFvA48FBEnNLBKtXANuDzQGMnQz8PnNz6kZkvVKpuSZKg+7c0rwXuysy5mfl0Zl4FbAI+3F7nzFyXmVdn5l3Ajk7Gzczc3PpR+dIlSce6bgvNiDgeOBuY32bRfODcwxy+f0Q8GxEbIuLBiDjrMMeTJOkVqrrxvU4C+gFb2rRvAS44jHFXAXOA5cBA4C+AxyKiNjNXt+0cEVcAVwCMHDmSBQsWADBu3DgGDhzI8uXLARg6dCiTJ09m4cKFAFRVVTF9+nSWLVvGc889B0BdXR1btmwBTj2M8tVbNTU1sXv3bgDq6+vZsGEDGzduBGDixIn069ePlStXAjBixAjGjh3L4sWLAejfvz/19fU0NjayZ88eABoaGli7di2bN5d2hEyaNImWlhZWrVoFQE1NDaNGjaKxsXQkYsCAAdTV1bF48WKam5sBmD59Os888wxbt24FYMqUKTQ3N7N6demv+ujRoxk+fDhNTU0ADBo0iGnTprFo0SL27dsHwIwZM3jqqafYvn07ALW1tezatYs1a9YAMGbMGIYMGcKyZcsAGDx4MLW1tTz66KNkJhHBzJkzWb58OTt37gRg2rRp7Nixg3Xr1gGH931av349AOPHj6e6upoVK1YAMGzYMCZMmMCiRYsAqK6upqGh4ZB+T6UjP+prNm3aVJHvU2ciM4/gR2j1RhEjgY3AzMxc2Kr9BuB9mTnxIOs/CGzLzA8cpF8/4Ang3zPz6s761tXV5f5/XA7H5bce9hDqheZe09MV6EjxO9s3Veo7GxFLM7OuvWXdeUxzG9ACDG/TPhyo2DHIzGwBmoDxlRpTkiToxtDMzL3AUmBWm0WzKM2irYiICOBMShOMJEmqmO48pgnwRWBeRCwBHgM+BIwE7gSIiHsAMvPS/StExNTy00HAS+XXezNzZXn5J4GfAqvLfa6mFJrtzsiVJOlQdWtoZuZ9ETEUuI7S+ZQrgAsz89lyl/bO1/yPNq/fBjwLjCm/PhH4KjAC+G25/4zMXFLR4iVJx7zu3tIkM78CfKWDZee30xYHGe8jwEcqUpwkSZ3w2rOSJBVkaEqSVJChKUlSQYamJEkFGZqSJBVkaEqSVJChKUlSQYamJEkFGZqSJBVkaEqSVJChKUlSQYamJEkFGZqSJBVkaEqSVJChKUlSQYamJEkFGZqSJBVkaEqSVJChKUlSQYamJEkFGZqSJBVkaEqSVJChKUlSQYamJEkFGZqSJBVkaEqSVJChKUlSQYamJEkFGZqSJBVkaEqSVJChKUlSQYamJEkFGZqSJBVkaEqSVJChKUlSQYamJEkFGZqSJBVkaEqSVJChKUlSQYamJEkFGZqSJBVkaEqSVJChKUlSQYamJEkFGZqSJBVkaEqSVJChKUlSQYamJEkFGZqSJBVkaEqSVJChKUlSQYamJEkFGZqSJBVkaEqSVJChKUlSQYamJEkFdXtoRsSVEbE2Il6IiKURcd5B+s8s93shItZExIcOd0xJkg5Ft4ZmRFwC3AZ8DjgLeBx4KCJO6aD/WODfyv3OAm4GvhwRFx/qmJIkHaru3tK8FrgrM+dm5tOZeRWwCfhwB/0/BPwqM68q958L3A187DDGlCTpkHRbaEbE8cDZwPw2i+YD53awWkM7/R8G6iLiVYc4piRJh6SqG9/rJKAfsKVN+xbggg7WGQH8sJ3+VeXxoqtjRsQVwBXll7sjYlWR4nXAScC2ni6iO3ztIz1dgVQRfme77vUdLejO0OwVMvOrwFd7uo6jVUQ0ZWZdT9chqRi/s5XVnaG5DWgBhrdpHw5s7mCdzR3031ceLw5hTEmSDkm3HdPMzL3AUmBWm0WzKM14bc/iDvo3ZeaLhzimJEmHpLt3z34RmBcRS4DHKM2OHQncCRAR9wBk5qXl/ncCfx4RtwJ/D7wJ+ADwnqJjquLctS0dXfzOVlBkZve+YcSVwF8CJwMrgI9k5sLysgUAmXl+q/4zgS8Bk4FfAX+TmXcWHVOSpErp9tCUJOlo5bVnJUkqyNCUJKkgQ1OSpIIMTUmSCjrmrgikrouIUcBplC4m8RKwKjO9eISkY46zZ9WpiPgwMAeoBX4H/CewAfgp8N3MXBURx2XmSz1YpiR1C3fPqkMRMZTSfUq/R+kc2AZKt2ZrAS4Fbo+ISZn5UkREz1UqCaB896cJEVHd07X0VW5pqkMRcRXwx5lZ386y6ZRuCl4DvCEzj4m7KEi9WURcA3wW+Bbwz8DPgF9nZkurPoMoXV3th5n5Yk/UeTRzS1Od2QsMjIgpABFRXb6HKZm5CHgf8ALwlp4rUVIrlwBLKM1B+C6l63ffEhHTI+K15T7vBT5pYB4aQ1Od+Q6liT/XRMTAzGzOzL0RcRxAZv4X8BtgVA/WKAmIiNcBLwJzM/M8SveE/AfgfwELgR9HxMeBa4DGnqrzaOfuWbWr1THK/w3cBgyhtMvnK8B/UArKGcDfAWdk5roeKFNSWUScDLwbWJmZD7dZdhZwWXn5YGB0Zm7s/iqPfoamOhURJwKnAOcCb6d0LARK9ysNYF5mfqpHipP0MhHRH8jMfKH15Lws/0MfEZ8FLszMs3qqxqOd52nqFSJiGPAnwEcp3ex7D6XdsIuALwCvonTM5AeZ+UwPlSmpjczcsz8ss80WUUS8GrgY+HpP1NZXuKWpV4iIuyjdiu1fgR2Uds2eAUwAtgLXZabHRKReojwjdlfboGzT5wRKE4W+kZl7u624PsbQ1MuU/5e6i9IunIWt2k4B6ikdFxkHvCszl/VYoZIOiIi/pzRrdgnwbGY+106fEzPzN91dW1/j7Fm1NQlYS+l0E6C0myczn83MbwFvo7Sr9o96pjxJrUXEe4DLgb+ldCGSWyLi7RFxavkY5/5jnXfvP31Mh84tTb1M+cv1IPBqSlf9+WXbS+SVL3rwp5k5tfsrlNRaRMyldJWu/we8A3g/cCqwCvg34EfAROC2zDy+p+rsK9zS1Mtk5h7gr4H+wD3ApRExOiIGwIHJBDOBFT1XpSSAiKiitGfoN5m5JjO/kJlnAOcAj1IK0G8BXwbm9VylfYdbmmpXeTfO9cBFlC7Uvhj4NXABsAm4LDOf7LkKJQFExGBgeGb+onzFrhdbTwiKiEuAbwDTMvOJHiqzzzA01any6SdvBf6Q0iXzVgDfzsxf9GRdkjpWvmpXZGZLRFxOadfsq3u6rr7A0FRh3gJMOvpExLVAv8y8padr6QsMTUnqwyLiVUCL/+GtDENTkqSCnD0rSVJBhqYkSQUZmpIkFWRoSpJUkKEpSVJBhqYkSQX9f5/Q/z4O8f43AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from qiskit.visualization import plot_histogram\n",
    "plot_histogram(counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f0b10c77",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ibmq_manila\n"
     ]
    }
   ],
   "source": [
    "provider = IBMQ.get_provider(hub='ibm-q-community', group='iisc-hackathon', project='main')\n",
    "backend = provider.get_backend('ibmq_manila')\n",
    "print(backend)\n",
    "#provider.backends()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "55ec5aaf",
   "metadata": {},
   "outputs": [],
   "source": [
    "#backend = provider.get_backend(\"ibmq_quito\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "270d0f80",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'00': 498, '01': 18, '10': 28, '11': 480}\n"
     ]
    }
   ],
   "source": [
    "job_simulator = execute(qc, backend, shots=1024)\n",
    "Results_simulator = job_simulator.result()\n",
    "counts = Results_simulator.get_counts(qc)\n",
    "print(counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "67763b03",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from qiskit.visualization import plot_histogram\n",
    "plot_histogram(counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "b1558ec6",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "ibmqfactory.load_account:WARNING:2022-01-05 16:08:13,569: Credentials are already in use. The existing account in the session will be replaced.\n"
     ]
    }
   ],
   "source": [
    "# First, see what devices we are allowed to use by loading our saved accounts\n",
    "IBMQ.load_account()\n",
    "provider = IBMQ.get_provider(hub='ibm-q')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c6c34e58",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Job Status: job has successfully run\n"
     ]
    }
   ],
   "source": [
    "# get the least-busy backend at IBM and run the quantum circuit there\n",
    "from qiskit.providers.ibmq import least_busy\n",
    "from qiskit.tools.monitor import job_monitor\n",
    "backend = least_busy(provider.backends(filters=lambda b: b.configuration().n_qubits >= 3 and\n",
    "                                   not b.configuration().simulator and b.status().operational==True))\n",
    "t_qc = transpile(qc, backend, optimization_level=3)\n",
    "job = backend.run(t_qc)\n",
    "job_monitor(job)  # displays job status under cell\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2d69d091-c685-4e15-84f4-66c19f76da58",
   "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": "3.8.13"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {},
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}