Qasm_simulator_historgram.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "41d32d27",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "# Importing standard Qiskit libraries\n",
    "from qiskit import QuantumCircuit, transpile, Aer, IBMQ, QuantumRegister\n",
    "from qiskit.tools.jupyter import *\n",
    "from qiskit.visualization import *\n",
    "from ibm_quantum_widgets import *\n",
    "from qiskit import *\n",
    "# Loading your IBM Q account(s)\n",
    "#provider = IBMQ.load_account()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "64e9807a",
   "metadata": {},
   "outputs": [],
   "source": [
    "q = QuantumRegister(2)\n",
    "c = ClassicalRegister(2)\n",
    "qc = QuantumCircuit(q, c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f22c3e58",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<qiskit.circuit.instructionset.InstructionSet at 0x7f416b2018e0>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qc.h(q[0])\n",
    "qc.cx(q[0], q[1])\n",
    "qc.measure(q, c)\n",
    "#you can also use \n",
    "#qc.measure_all() OR \n",
    "#qc.measure([0], [0])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "a0c523a1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 340.233x204.68 with 1 Axes>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qc.draw('mpl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "1ae70acc",
   "metadata": {},
   "outputs": [],
   "source": [
    "sim = Aer.get_backend('qasm_simulator')\n",
    "job = execute(qc, sim, shots=1024)\n",
    "result = job.result()\n",
    "counts = result.get_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "5e982267",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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emS+VNz0J3FDt4iRJ6k4qnWmSmY2Urppt2fbjqlUkSVI3VfHiBhFxZUQ8FhHPR8TYcttHIuId1S9PkqTuo9LFDa4Brge+AUSLTU8Df1e9siRJ6n4qnWm+H7g8M2cBu1u0LwEmVa0qSZK6oUpD8zXAsjbaXwT6Hnw5kiR1X5WG5ipgShvt5wLLD74cSZK6r0qvnr0J+GpEvJLSOc36iPhb4H8Dl1a7OEmSupNK79O8PSJ6A58BXklpoYOngasz855DUJ8kSd3GgdynORuYHRHHAkdl5ubqlyVJUvdTcWjukZnPVLMQSZK6u/2GZkQ8AszIzK0R8SiQ7fXNzFOrWZwkSd1JkZnmfUBTi9fthqYkST3ZfkMzMz/R4vXHD2k1kiR1Y5Uuo/eriDimjfYBEfGrqlUlSVI3VOniBmcBfdpoPxo486CrkSSpGyt09WxEtFwF6NSIeLbF972Ac4D11SxMkqTupugtJ42ULgBK4IE2tu8ErqpWUZIkdUdFQ3MMpWXzVgF/DvyhxbZdwObMbK5ybZIkdSuFQjMznyq/rPih1ZIk9RRFFje4APi3zHyx/LpdmfkvVatMkqRupshM8/vAMGBz+XV7ktJFQZIk9UhFFjc4qq3XkiQdaQxBSZIKKnpOsxDPaUqSerKi5zSL8JymJKlHq+icpiRJRzIDUZKkgrxPU5KkgrxPU5KkgrxPU5KkggxBSZIKqjg0I2JKRNwREY3lrztbPW9TkqQeqaLQjIiLgd8CxwE/KX8NBR6OiHdVvzxJkrqPSmeanwZuyMyZmXlj+esNwA3Ap4oMEBFXRsTqiHghIhZHxJkd9J0REQ9FxJaI2BkRj0fEdW30e3tELI+IpvKf51f4viRJ2q9KQ/PVwPfaaL8XGLK/nSPiImAW8BngdOAh4P6IOL6dXXYAtwDTgYmUgvkTEXFlizHrgXuAfwZOK/95b0TUFXtLkiQVU2lo/ho4q432s4D5Bfa/FpiTmbMz8/eZeRWwAfhAW50zc3Fm3p2Zj2Xm6sz8DvAzoOXs9Brg15n56fKYnwbmldslSaqaShdsvx/4bETUAr8pt/0FcAHw8f2M0wc4A7ip1aYHgNcWKTYiTi/3bfmz6oGvtOr6M+DviowpSVJRB7pg+xXlr5a+AtzawTjHUlr8YFOr9k3A2R0VEBHrKB0a7g18IjO/3mLzsHbGHNbOWHtrHz58OPPmzQNg7Nix9O/fn6VLlwIwePBgJk2axIIFCwDo3bs306ZNY8mSJWzbtg2A2tpaNm3aBJzQUfk6TDU2NrJjxw4A6urqWLduHevXrwdg/Pjx9OrVi+XLlwMwbNgwxowZQ0NDAwB9+/alrq6ORYsWsXPnTgDq6+tZvXo1GzduBGDixIk0NzezYsUKAEaMGMHIkSNZtGgRAP369aO2tpaGhgaampoAmDZtGk888QSbN28G4OSTT6apqYmVK1cCMGrUKIYOHUpjYyMAAwYMYMqUKSxcuJDdu3cDMH36dB577DG2bNkCwOTJk9m+fTurVq0CYPTo0QwaNIglS5YAMHDgQCZPnsz8+fPJTCKCGTNmsHTpUrZu3QrAlClTePbZZ1mzZg1wcJ+ntWvXAnDSSSdRU1PDsmXLABgyZAjjxo1j4cKFANTU1FBfX39AvyeoqfBvgw4HGzZsqMrnqSORmYfwLbT4QRHDgfXAjMxc0KL9RuDizBzfwb5jgH6UZrWfBz6UmXeWt+0CLsvMO1r0vwSYnZkdfjJqa2tzzz8uB+Pymw96CHVDs6/p6gp0qPiZ7Zmq9ZmNiMWZWdvWtiIzzWp5BmimdItKS0OBjR3tmJmryy8fjYihlA7P3llu23ggY0qSVKmKQzMiBgJvAo4H+rTclpmfbG+/zNwVEYuBmZSutt1jJnBfBSUcxb7HVhrKY3yx1ZgPVTCmJEn7VVFoRsRfAD8GmiidY1xPaaGDJmAN0G5oln0JuDMiHgYeBN4PDAe+Xh7/DoDMvKT8/VXAamBFef/pwHXse+50FrAgIj4K/AA4H/hLYFol702SpP2pdKb5RUr3QX4I2Ab8FfAc8F3gW/vbOTPviYjBwPWUwnYZcG5mPlXu0vp+zV6UzmGOBnYDTwIfpRyy5TEfioh3UrqH85PlPhdl5qIK35skSR2qNDRPBd6XmRkRzUBNZq6KiI8Ad1EK1A5l5q20c5VtZp7V6vubgZsLjPl9On5smSRJB63SxQ12tXi9CXhN+fUOSodZJUnqsSqdaS4BpgJPUFp151Plq1nfBTxS3dIkSepeKp1pfgx4uvz6euAPlBY1GMjLFzuQJKlHqWimmZmNLV7/gdKtJ5IkHREOaHGDiDgBmFD+dnlmrqpeSZIkdU+V3qc5mNKtJecBL/1Xc/wIuDQzt1S5PkmSuo1Kz2l+EziR0qO5ji5/TQfGALOrW5okSd1LpYdnzwFen5kNLdoejIj/CfyiemVJktT9VDrT/AOlFYBaex7w0KwkqUerNDQ/CdwcESP2NJRf/xP7X3dWkqTD2n4Pz0bEo0DLh26OAdZExPry9yOAF4AhlM55SpLUIxU5p+marpIkUSA0M/MTnVGIJEnd3YEubvBXwERKh20fy8x51SxKkqTuqNLFDUYA/wqcwX+tQTs8IhqB8zPz6XZ3liTpMFfp1bO3AM3AiZk5KjNHASeV226pdnGSJHUnlR6enQmclZmr9zSUH0J9NfDLqlYmSVI3U+lME/a9/aSjNkmSepRKQ/OXwFciYtSehog4HrgZZ5qSpB6u0tC8GngVsCoinoqIp4Any21XV7s4SZK6k0rPaW4B/hw4C/izctvvM9PF2iVJPV7h0IyIXsCfgMmZ+XPg54esKkmSuqHCh2czsxl4Cuhz6MqRJKn7qvSc5v8BPhcRxx6KYiRJ6s4qPad5HaWnnKyPiHW0erZmZp5arcIkSepuKg3N71O6JzMOQS2SJHVrhUIzIl4JfBF4G/AKSvdkXpWZzxy60iRJ6l6KntP8BPAe4MfAd4Gzga8dopokSeqWih6evQB4X2beDRAR/ww8GBG9ylfVSpLU4xWdaY4C/t+ebzLzYWA3MPxQFCVJUndUNDR7Abtate3mAB9iLUnS4aho6AXwnYhoatF2NDA7Ip7f05CZ51WzOEmSupOiofntNtq+U81CJEnq7gqFZma+91AXIklSd3cgD6GWJOmIZGhKklSQoSlJUkGGpiRJBRmakiQVZGhKklSQoSlJUkGGpiRJBRmakiQVZGhKklSQoSlJUkGGpiRJBRmakiQVZGhKklSQoSlJUkGGpiRJBRmakiQVZGhKklSQoSlJUkGGpiRJBRmakiQV1OmhGRFXRsTqiHghIhZHxJkd9D0uIu6KiMcjojki5rTR5z0RkW18HX1I34gk6YjTqaEZERcBs4DPAKcDDwH3R8Tx7exSAzwDfA5Y1MHQzwPHtfzKzBeqVbckSdD5M81rgTmZOTszf5+ZVwEbgA+01Tkz12Tm1Zk5B3i2g3EzMze2/Kp+6ZKkI13vzvpBEdEHOAO4qdWmB4DXHuTwfSPiKaAX8O/ADZn5u3bquAK4AmD48OHMmzcPgLFjx9K/f3+WLl0KwODBg5k0aRILFiwAoHfv3kybNo0lS5awbds2AGpra9m0aRNwwkGWr+6osbGRHTt2AFBXV8e6detYv349AOPHj6dXr14sX74cgGHDhjFmzBgaGhoA6Nu3L3V1dSxatIidO3cCUF9fz+rVq9m4sfT/dBMnTqS5uZkVK1YAMGLECEaOHMmiRaWDKv369aO2tpaGhgaampoAmDZtGk888QSbN28G4OSTT6apqYmVK1cCMGrUKIYOHUpjYyMAAwYMYMqUKSxcuJDdu3cDMH36dB577DG2bNkCwOTJk9m+fTurVq0CYPTo0QwaNIglS5YAMHDgQCZPnsz8+fPJTCKCGTNmsHTpUrZu3QrAlClTePbZZ1mzZg1wcJ+ntWvXAnDSSSdRU1PDsmXLABgyZAjjxo1j4cKFANTU1FBfX39Av6fSQSz1NBs2bKjK56kjkZmH8C20+EERw4H1wIzMXNCi/Ubg4swcv5/9fwQ8k5nvadVeD4wDlgL9gQ8B5wKTM3NlR2PW1tbmnn9cDsblNx/0EOqGZl/T1RXoUPEz2zNV6zMbEYszs7atbZ020zxUMrMBaNjzfUQ8RGm2eRVwdReVJUnqgTrznOYzQDMwtFX7UKBq5yAzsxloBE6q1piSJEEnhmZm7gIWAzNbbZpJ6SraqoiIAE6ldIGRJElV09mHZ78E3BkRDwMPAu8HhgNfB4iIOwAy85I9O0TEaeWXA4CXyt/vyszl5e3/CPwGWFnuczWl0GzzilxJkg5Up4ZmZt4TEYOB6yndT7kMODcznyp3aet+zdZXwb4VeAoYXf7+GOAbwDDgT+X+0zPz4aoWL0k64nX6hUCZeStwazvbzmqjLfYz3oeBD1elOEmSOuDas5IkFWRoSpJUkKEpSVJBhqYkSQUZmpIkFWRoSpJUkKEpSVJBhqYkSQUZmpIkFWRoSpJUkKEpSVJBhqYkSQUZmpIkFWRoSpJUkKEpSVJBhqYkSQUZmpIkFWRoSpJUkKEpSVJBhqYkSQUZmpIkFWRoSpJUkKEpSVJBhqYkSQUZmpIkFWRoSpJUkKEpSVJBhqYkSQUZmpIkFWRoSpJUkKEpSVJBhqYkSQUZmpIkFWRoSpJUkKEpSVJBhqYkSQUZmpIkFWRoSpJUkKEpSVJBhqYkSQUZmpIkFWRoSpJUkKEpSVJBhqYkSQUZmpIkFWRoSpJUkKEpSVJBhqYkSQUZmpIkFWRoSpJUkKEpSVJBhqYkSQUZmpIkFWRoSpJUkKEpSVJBnR6aEXFlRKyOiBciYnFEnLmf/jPK/V6IiFUR8f6DHVOSpAPRqaEZERcBs4DPAKcDDwH3R8Tx7fQfA/yk3O904LPAVyLi7Qc6piRJB6qzZ5rXAnMyc3Zm/j4zrwI2AB9op//7gacz86py/9nAt4HrDmJMSZIOSGRm5/ygiD7A88DfZOa9Ldr/L3ByZs5oY58FwKOZ+cEWbX8N3AW8EogDGPMK4Iryt+OBFVV4e0eSY4FnuroISYX5ma3cazLz1W1t6N2JRRwL9AI2tWrfBJzdzj7DgF+00b93ebyodMzM/AbwjcJVax8R0ZiZtV1dh6Ri/MxWl1fPSpJUUGfONJ8BmoGhrdqHAhvb2WdjO/13l8eLAxhTkqQD0mkzzczcBSwGZrbaNJPSFa9taWinf2NmvniAY+rgeGhbOrz4ma2iTrsQCPbeHnIncCXwIKWrY98HTMrMpyLiDoDMvKTcfwywDJgN3Aa8DriV0oU/9xUZs9PenCSpx+vMw7Nk5j0RMRi4HjiOUiCe2yLcjm/Vf3VEnAt8mdItJE8DV+8JzIJjSpJUFZ0605Qk6XDm1bOSJBVkaEqSVJChKUlSQZ16IZAOTxExEjiR0n2xLwErMtP7YCUdcbwQSB2KiA8AlwKTgeeA/wDWAb8BfpCZKyLiqMx8qQvLlKRO4eFZtat8K89ngB9Sup2nntJTZpqBS4BbImJiZr4UEdF1lUoCiIhXRMS4iKjp6lp6KmeaaldEXAW8KzPr2tg2jdLzTUcAf56ZPkVB6mIRcQ3waeB7wL8AvwX+kJnNLfoMoLRQzC8y88WuqPNw5kxTHdkF9I+IkwEioqb8iDcycyFwMfAC8IauK1FSCxcBD1O6BuEHlJYi/WJETIuI/1bu8z+AfzQwD4yhqY58n9KFP9dERP/MbMrMXRFxFEBm/ifwR2BkF9YoCYiIVwMvArMz80zgNcC3gLcAC4BfRcRHgGuARV1V5+HOw7NqU4tzlP8dmAUMonTI51bgd5SCcjrwNeCUzFzTBWVKKouI44B3Assz82ettp0OXFbePhAYlZnrO7/Kw5+hqQ5FxDGU1gR+LXA+pXMhUHr0WgB3ZubHu6Q4SfuIiL5AZuYLLS/Oy/I/9BHxaUprc5/eVTUe7rxPUy8TEUOAvwX+F6Xnlu6kdBh2IXAT8ApK50x+mplPdFGZklrJzJ17wjJbzYgi4pXA24Hbu6K2nsKZpl4mIuYAk4B/A56ldGj2FGAcsBm4PjM9JyJ1E+UrYre3DspWfY6mdKHQd8vPItYBMDS1j/L/pW6ndAhnQYu244E6SudFxgLvyMwlXVaopL0i4jZKV80+DDyVmdva6HNMZv6xs2vrabx6Vq1NBFZTut0EKB3mycynMvN7wFspHar9664pT1JLEfE3wOXAP1FaiOSLEXF+RJxQPse551znt/fcPqYD50xT+yh/uH4EvJLSqj9Ptl4ir7zowfsy87TOr1BSSxExm9IqXV8ALgDeDZwArAB+AvwSGA/Mysw+XVVnT+FMU/vIzJ3Ax4C+wB3AJRExKiL6wd6LCWYAy7quSkkAEdGb0pGhP2bmqsy8KTNPAaYC8ykF6PeArwB3dl2lPYczTbWpfBjnBuA8Sgu1NwB/AM4GNgCXZeajXVehJICIGAgMzczHyyt2vdjygqCIuAj4LjAlM/+9i8rsMQxNdah8+8mbgbdRWjJvGXBvZj7elXVJal951a7IzOaIuJzSodlXdnVdPYGhqcJ8BJh0+ImIa4FemfnFrq6lJzA0JakHi4hXAM3+D291GJqSJBXk1bOSJBVkaEqSVJChKUlSQYamJEkFGZqSJBVkaEqSVND/ByzzBFjePQT5AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot_histogram(counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c6905d75",
   "metadata": {},
   "outputs": [],
   "source": [
    "#QASM SIMULATOR NEEDS MEASUREMENT AND COUNTS AS INPUT NOT STATE"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}