Teleportation.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from qiskit import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "circuit = QuantumCircuit(3, 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 156.52x264.88 with 1 Axes>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "circuit.draw(output='mpl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 276.92x264.88 with 1 Axes>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "circuit.x(0)\n",
    "circuit.barrier()\n",
    "circuit.draw(output='mpl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<qiskit.circuit.instructionset.InstructionSet at 0x7f441621bb00>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "circuit.h(1)\n",
    "circuit.cx(1,2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 397.32x264.88 with 1 Axes>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "circuit.draw(output='mpl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 517.72x264.88 with 1 Axes>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "circuit.cx(0,1)\n",
    "circuit.h(0)\n",
    "circuit.draw(output='mpl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 698.32x264.88 with 1 Axes>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "circuit.barrier()\n",
    "circuit.measure([0,1], [0,1])\n",
    "circuit.draw(output='mpl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 878.92x264.88 with 1 Axes>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "circuit.barrier()\n",
    "circuit.cx(1,2)\n",
    "circuit.cz(0,2)\n",
    "circuit.draw(output='mpl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAc0AAAFGCAYAAAAIMsQGAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjAsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+17YcXAAAgAElEQVR4nO3deXhV1b3G8e+PMAgIaCDGpBQhhcY4xQAXgSKKSuvQKlXrUK9Wey1VKqUX0drB4lDt1TrWq7V1qIrFqhWtY1WKigMVhTAVjCCTSKRMApfBhPC7f+wdPIQk7EOSc3Zy3s/z5OGcvdfZWTuLnDdrn7XXMndHRERE9qxVuisgIiLSXCg0RUREIlJoioiIRKTQFBERiUihKSIiEpFCU0REJCKFpoiISEQpD00zG2VmS8xsm5nNMLOj6yl7jJm9Y2ZrzWyrmX1gZuNqlPmBmb1pZuvM7DMze83MhjT9mYiISKZJaWia2dnAncCNQAnwDvCSmfWo4yX/B/wOGAocAvwauNbMRiWUORZ4HDgeOAooA142sz5NcQ4iIpK5LJUzApnZu8Acd/9BwraFwF/d/WcRjzEJ+Nzdz61jvwHlwA3ufld9x+ratav36FFXXouISCaaNWvWGnfPqW1f61RVwszaAv2AW2rsegUYHPEYJWHZa+op1hbYB1i/p+P16NGDKVOmRPnWIiKSIbKzs5fVtS9loQl0A7KAVTW2rwJOqO+FZrYCyCGo77Xufm89xX9NcFn32TqONRIYCZCXl8fMmTMByM/Pp0OHDixatAiALl26UFBQQGlpKQBZWVkUFxdTVlbG5s2bASgqKmLdunWsWhWcUvfu3Wnbti2LFy8GYP/996dHjx7Mnj0bgDZt2nD44YezYMECtm7dCsAhhxzC6tWrWb16NQAHHXQQZsbSpUsB6Nq1K3l5ecybNw+Adu3aceihh/Kvf/2Lzz//HIDDDjuM8vJy1q5dC0DPnj1xd5YtC9o9JyeHnJwc5s+fD0D79u0pKipi7ty5VFZWAlBcXMzy5ctZvz74W6OgoICKigpWrFgBQG5uLtnZ2SxYsACAjh07UlhYyOzZs6mqqgKgpKSExYsXs2HDBgB69+7Nli1bWLlyJdU/786dO1NWVgZAp06d6NOnD6Wlpbg7ZkZJSQkLFy5k06ZNABQWFrJx40bKy8vVTmontZPaKSXtVJ+UXZ41s3zgE2Cou7+ZsH08cK67H1zPa3sB+wIDgZuAMe4+oZZyY4DrgRPcffqe6lRSUuLqaYqISKLs7OwZ7t6/tn2p7GmuAaqAA2tsP4Dde5+7cPcl4cO5ZpZLcHl2l9AMA/PXwElRAlNERCRZKRs96+4VwAxgeI1dwwlG0UbVCmiXuMHMxgI3AKe4+1sNqaeIiEhdUtnTBLgNmGBm04G3gUuAfOBeADN7BMDdLwifjwaWENxGAsGtJ+OAe6oPaGZXEATmfwIfmll1T3aru29o6hMSEZHMkdLQdPfHzawr8EsgD5gHnOzu1SOVat7/kUXwGWZPYDvwEXAVYciGfgS0IbhXM9HDwIWNWH0REclwKb1PM240EEhERGqqbyCQ5p4VERGJSKEpIiISkUJTREQkIoWmiIhIRApNERGRiBSaIiIiESk0RUREIlJoioiIRKTQFBERiUihKSIiEpFCU0REJCKFpoiISEQKTRERkYgUmiIiIhEpNEVERCJSaIqIiESk0BSRWJs8eTIDBgygX79+3HHHHbvtv/vuuxk4cCBDhgxhxIgRfPzxxzv3rVixgtNPP52jjjqKgQMHsnz5cgCmTp3Ksccey+DBgxk1ahTbt29P2flI86bQFJHYqqqq4sorr+SJJ55g2rRpPPXUU3zwwQe7lDniiCOYMmUKb731Fqeeeirjx4/fue/SSy9l9OjRvPvuu0yePJlu3bqxY8cORo0axf33388777xD9+7deeyxx1J9atJMKTRFJLZmzJhBr1696NmzJ23btuX000/npZde2qXM0UcfTYcOHQDo378/K1euBOCDDz5g+/btDBs2DIB9992XDh06sG7dOtq1a0fv3r0BGDZsGM8991wKz0qaM4WmiMRWeXk5X/rSl3Y+z8/Pp7y8vM7yjz76KCeccAIAH330EV26dOGCCy7gmGOO4Ve/+hVVVVV07dqVyspKSktLAfjb3/7GJ5980rQnIi2GQlNEYsvdd9tmZrWWfeKJJygtLWX06NEAbN++nWnTpnHdddfxj3/8g6VLlzJx4kTMjPvvv59f/OIXnHDCCXTq1InWrVs36XlIy6H/KSISW/n5+bv0AleuXMmBBx64W7nXX3+dW2+9leeff5527drtfO0RRxxBz549ATjllFN4//33ARgwYAAvvvgiAFOmTGHRokVNfCbSUqinKSKx1bdvXxYvXsyyZcuoqKhg0qRJnHjiibuUmTNnDmPHjmXixInk5OTs8trPPvuMNWvWAMGI2cLCQgBWr14NwOeff87vfvc7LrroohSdkTR36mmKSGy1bt2am2++mTPPPJOqqirOO+88ioqKuPHGGykpKeGkk05i/PjxbN68eWfwde/enYkTJ5KVlcV1113HiBEjcHeOPPJILrjgAgDuuusuXn75Zdydiy66iKFDh6bzNKUZsdo+M8gUJSUlPmXKlHRXQ0REYiQ7O3uGu/evbZ8uz4qIiESk0BQREYlIoSkiIhKRQlNERCQihaaIiEhECk0REUlKQ1ae6datG0OHDmXo0KF897vf3bl95MiRDBgwgMGDB3PZZZdRWVmZknNJlkJTREQia+jKM+3bt2fq1KlMnTqViRMn7tz+ne98h3fffZe3336bbdu2MWHChJSdUzIUmiIiEllDVp6pz/DhwzEzzIy+fftGek06KDRFRCSyhqw8A7Bt2zaOO+44hg8fzgsvvLBb+crKSp544gmOP/74xq14I9E0eiIiEtnerDzz/PPP79w2Z84c8vLyWLp0KaeddhqHHHIIvXr12rl/3LhxDBo0iEGDBjV+5RuBepoiIhJZsivPTJw4cefKMwB5eXkA9OzZkyFDhjBnzpyd+2666SbWrl3LDTfc0IRn0DDqaYpIylz58P7prkKjufl769NdhbRIXHkmLy+PSZMm8cc//nGXMtUrzzz55JO7rDzz2Wef0b59e9q1a8fatWt59913d65/+sgjjzBlyhSeeeYZWrWKb39OoSkiIpE1ZOWZsrIyxo4dS6tWrdixYwdjxozh4IMPBuDyyy/ny1/+Mt/4xjcA+OY3v8mVV16ZtvOsi1Y50SonIimjnqY0B1rlREREpBEoNEVERCJSaIqEGjI1GMDGjRs59NBDd/kcZtasWXzta1+jX79+XHXVVbUO1xeR5kOhmSZ7+wb98ccfM2zYMIYOHcqgQYP405/+tPM1kyZNYsiQIQwaNGiXaatkzxo6NRjAjTfeyODBg3fZNm7cOG6//Xbef/99PvroIyZPntzk5yIiTUehmQYNeYPOzc3l73//O1OnTuXVV1/ljjvuoLy8nHXr1jF+/HieeeYZpk2bxurVq3njjTfScXrNUkOnBps1axarV69m2LBhO7d9+umnbNq0iQEDBmBmnHPOObz44oupOSERaRIKzTRoyBt027Ztd94oXFFRwY4dOwBYunQpvXv3plu3bgAcc8wxPPfcc6k6pWavIVOD7dixg6uvvpprr712t2Pm5+dHPqaIxJ9CMw0aOnfjihUrGDJkCIcffjhjxowhLy+PgoICPvzwQ5YvX8727dt54YUXdpm1Q+q3N1ODVd+U/cADDzB8+HC6d+++18cUkeZBkxukQUPnbuzevTtvvfUW5eXlnH/++Zx66qkccMAB3HrrrXz/+9+nVatWDBgwgGXLljXZObQ0yU4N9vzzz+/s8b/33ntMmzaNBx54gM2bN1NRUUHHjh354Q9/uMsl3LqOKSLNh0IzDRryBp0oLy+PwsJCpk2bxmmnncaJJ57IiSeeCMBDDz1EVlZW051EC9OQqcESy02cOJFZs2bt/Ax633335b333qN///785S9/YeTIkak5IRFpEro8mwaJb9AVFRVMmjRpZ9hVq36Dnjhx4i5v0J988glbt24Fgnkcp0+fTp8+fQBYvXr1zu0PPvgg559/forOqPlLnBps4MCBjBgxYufUYNWfNydODVZz1fm63HLLLYwZM4Z+/frRq1evXS6zi0jzo2n00jSN3quvvsrPf/7znXM3Xn755bvM3fjtb3+b+fPnk5ubC3wxd+Nrr73G1VdfjZnh7lx88cVceOGFAFx88cXMmzcPgCuuuIIzzjgjLecmUhdNoyfNQX3T6Ck0NfesSMooNONHbbI7zT0rIiLSCBSaIiIiESk0RUREIlJoioiIRKTQFBERiUihKSIiElHKQ9PMRpnZEjPbZmYzzOzoesqebmavmNlqM9tkZu+a2an1lD/XzNzMnq+rjIiIyN5KaWia2dnAncCNQAnwDvCSmfWo4yXHAFOAU8LyLwJP1xa0ZlYA/BZ4swmqLiIikvKe5ljgIXe/z90XuPtooBy4tLbC7j7G3f/H3ae7+yJ3vxaYAYxILGdmbYDHgF8Ai5v2FEREJFOlbMJ2M2sL9ANuqbHrFWDw7q+oUyeg5rQPNwBL3f1hMxtWy2skw2iWExFpCqlc5aQbkAWsqrF9FRBpFmsz+xHQHZiQsO3rwNnAkRGPMRIYCcEqITNnzgSClUc6dOjAokWLAOjSpQsFBQWUlpYCkJWVRXFxMWVlZWzevBmAoqIi1q1bx52TD4vyrZuFcw7/BwAFBQVUVFSwYsUKAHJzc8nOzmbBggUAdOzYkcLCQmbPnk1VVRUAJSUlLF68mA0bNgDQu3dvtmzZsnN5rLy8PDp37kxZWRkAnTp1ok+fPpSWluLumBklJSUsXLiQTZs2AVBYWMjGjRt3rjcatZ1akrlz51JZWQlAcXExy5cvZ/36IEibWzu1JNXvHe3bt6eoqKjZthO0nD8w165du3NJxJycHHJycpg/fz6QXDvVJ2Vzz5pZPvAJMNTd30zYPh44190P3sPrzyAIy3Pc/dlwWzdgDvBdd3893PYQ0M3dv7mnOjXW3LPq1cSP2iSe1C7xozbZXX1zz6ayp7kGqAJqLhx5ALv3PneREJgXVAdm6DAgD5icsIhzq/A124FD3b2s4VUXERFJ4UAgd68gGMQzvMau4QSjaGtlZmcBjwIXuvtfa+x+Dzic4NJs9dezBCNojwSWNErlRURESG1PE+A2YIKZTQfeBi4B8oF7AczsEQB3vyB8fg5BD3McMNXMqnupFe6+zt03A/MSv4GZfQa0dvddtouIiDRUSkPT3R83s67ALwkuq84DTnb3ZWGRmvdrXkJQxzvCr2pvAMc2bW1FRER2leqeJu5+D3BPHfuOre95xONfuDf1EhER2RPNPSsiIhKRQlNERCQihaaIiEhECk0REZGIFJoiIiIRKTRFREQiUmiKiIhEpNAUERGJSKEpIiISkUJTREQkIoWmiIhIRApNERGRiBSaIiIiESk0RUREIlJoioiIRKTQFBERiUihKSIiEpFCU0REJCKFpoiISEQKTRERkYiSCk0zO8vMvp7w/FdmtsLMXjazvMavnoiISHwk29O8pvqBmfUFfg78DmgD3Np41RIREYmf1kmWPwgoCx9/G3jG3W82s1eAlxu1ZiIiIjGTbE9zG9ApfHw8MDl8vCFhu4iISIuUbE/zTeBWM3sL6A+cGW7/KvBxY1ZMREQkbpLtaV4GVBCE5SXuvjLcfhK6PCsiIi1cUj1Nd18BfKuW7T9ptBqJiIjEVNL3aZrZPmZ2ppn91Mz2C7d9xcyyG796IiIi8ZFUT9PMehMM/tkX2A94EvgMuDR8fnFjV1BERCQuku1p3gG8AuQCWxO2PwsMa6xKiYiIxFGyo2cHAwPdvcrMErcvB/IbrVYiIiIxtDdzz7apZVsPgns1RUREWqxkQ/MVYGzCczezzsC1wAuNVisREZEYSvby7FjgNTMrA/YBHgd6A6uAsxq5biIiIrGS7H2aK83sSOBcoC9BT/WPwJ/dfWu9LxYREWnmku1pEobjg+GXiIhIxthjaJrZ6cBz7l4ZPq6Tu09qtJqJiIjETJSe5l+BA4F/h4/r4kBWY1RKREQkjvYYmu7eqrbHIiIimSapEDSzoWa2W9CaWZaZDW28aomIiMRPsj3H14DaJmbfL9wnIiLSYiUbmkbw2WVNXYHNDa+OiIhIfEW65cTMng0fOvComX2esDsLOAx4p5HrJiIiEitR79NcG/5rwHp2XeGkAngLuK8R6yUiIhI7kULT3S8CMLOlwC3urkuxIiKScZKdRu/apqqIiIhI3EWZEWgOcIy7rzezudQ+EAgAdz+iMSsnIiISJ1F6mk8B1QN/6psRSEREpEWLMiPQtbU9FhERyTSaFk9ERCSiKJ9p1vs5ZiJ9pikiIi1Z1FVOREREMl5Sn2mKiIhkMn2mKSIiEpHu0xQREYlI92mKiIhElPL7NM1sFHAFkAf8C/iJu79ZR9k84FagL9AHmODuF9ZSrjPwa+BMgmXKPgZ+7u5PNLS+IiIi1ZKae7aamX0FKAqfLnD3jyK+7mzgTmAUwcooo4CXzOwQd19ey0vaAWuA/wFG1nHMNsArBKuvnAWsALrzRe9YRESkUSQVmmbWFXgAOBXY8cVmex74vruvrfPFgbHAQ+5evYzYaDM7EbgU+FnNwu6+FPhx+E3OrOOYFwEHAEPdvSLctjTSCYmIiCQh2dGz9wO9gaOBfcKvoUAv9rCeppm1BfoR9AoTvQIMTrIeiUYAbwN3mdmnZjbfzK4Je6AiIiKNJtnLs98Ajnf3aQnb3jazHwKT9/DabkAWsKrG9lXACUnWI1EBcBwwETgF6AncDewLjKtZ2MxGEl7qzcvLY+bMmQDk5+fToUMHFi1aBECXLl0oKCigtLQUgKysLIqLiykrK2Pz5mA50aKiItatWwfs34Dqx0v1z6OgoICKigpWrFgBQG5uLtnZ2SxYsACAjh07UlhYyOzZs6mqqgKgpKSExYsXs2HDBgB69+7Nli1bWLlyJRD8vDt37kxZWRkAnTp1ok+fPpSWluLumBklJSUsXLiQTZs2AVBYWMjGjRspLy8HordTSzJ37lwqKysBKC4uZvny5axfvx5ofu3UklT/rrRv356ioqJm204t6f1r7dq1LFu2DICcnBxycnKYP38+kFw71cfcI82QFxQ2WwZ8y93n1NheDDzn7j3qeW0+8AnBZdQ3E7aPB85194P38L2fB9bUHAhkZh8S9Hh7uXtVuG0kcDuwr9dzgiUlJT5lypT6vm0kVz7ccv7T3fy99emuQqNQm8ST2iV+1Ca7y87OnuHu/Wvbl+zl2euAO8zsS9Ubwse3hvvqswaoAg6ssf0Adu99JqMc+LA6MEMLgA4EvVsREZFGsTcTtvcClprZJ+HzLwHbCMLv/rqO4+4VZjYDGA48mbBrOMG9oHvrbeC7ZtbK3asHJ30V2EIQ1CIiIo0i1RO23wZMMLPpBGF3CZAP3AtgZo8AuPsF1S8wsyPDh52BHeHzCnefH27/PXAZcKeZ/S/BZ5rXAvfUd2lWREQkWSmdsN3dHw9vW/klweQG84CT3X1ZWKS2z0RLazz/FrCMIBxx94/N7OsEgTwL+BR4kGCyAxERkUazV5MbNIS73wPcU8e+Y2vZZhGO+U8adtuKiIjIHiU1EMjM2prZtWb2oZltM7OqxK+mqqSIiEgcJDt69nrgewSjZXcQzCF7N7CWYEo8ERGRFivZ0DwLuMTd/0Bw+8jf3P3HwHiCUbAiIiItVrKhmQtUj1r9P2C/8PHfga83VqVERETiKNnQXE5wiwjAIoJp9QAGAVsbq1IiIiJxlGxoPg0cHz6+E7jWzJYAD1HPxAYiIiItQVK3nLj7zxIe/9XMVhDc6vGhuz/f2JUTERGJkwbdpxneH/nPRqqLiIhIrCV7eRYz62tmj5jZ++HXBDPr2xSVExERiZNkJzc4D3iPYAq8F8OvXGC6mf1n41dPREQkPpK9PHsDcLW735i40cx+RjDX66ONVTEREZG4SfbybA7wRC3bnyRYGkxERKTFSjY0XwOOrWX7scAbDa2MiIhInEVZhPr0hKcvAb8xs/58MWp2IHA6cE2j105ERCRG9nYR6pHhV6K7qGPJLxERkZYgyiLUSd+WIiIi0hIpEEVERCLam8kNTjGzqWa2xsxWm9kbZnZyU1ROREQkTpKd3OBigknbPwJ+ClwFLAGeNrPvN371RERE4iPZyQ1+Cox19/9N2PaAmc0gCNAHG61mIiIiMZPs5dkeBAtO1/QScFDDqyMiIhJfe7MI9fBatn8dWNbw6oiIiMRXspdnbwHuClc1eQdwYAhwPjC6kesmIiISK8kuQv0HM/s3cDnBLEAAC4Cz3P1vjV05ERGROIkcmmbWmuAy7FR3f7rpqiQiIhJPkT/TdPftwCSgU9NVR0REJL6SHQg0G+jdFBURERGJu2RD8xrgVjMbYWZfNrPsxK8mqJ+IiEhsJDt69oXw30kEI2erWfg8qzEqJSIiEkfJhuawJqmFiIhIMxApNM2sA/BbYATQBpgM/Njd1zRh3URERGIl6mea1wIXElyefYxgVqDfN1GdREREYinq5dnTgf9y978AmNmfgbfNLMvdq5qsdiIiIjEStaf5ZeDN6ifuPh3YDuQ3RaVERETiKGpoZgEVNbZtJ/mBRCIiIs1W1NAz4FEz+zxh2z7AfWa2pXqDu5/amJUTERGJk6ih+XAt2x5tzIqIiIjEXaTQdPeLmroiIiIicZfsNHoiIiIZS6EpIiISkUJTREQkIoWmiIhIRApNERGRiBSaIiIiESk0RUREIlJoioiIRKTQFBERiUihKSIiEpFCU0REJCKFpoiISEQKTRERkYgUmiIiIhEpNEVERCJSaIqIiESk0BQREYlIoSkiIhKRQlNERCSilIemmY0ysyVmts3MZpjZ0Xsof0xYbpuZLTazS2rszzKz6xOOucTMfm1mrZv2TEREJNOkNDTN7GzgTuBGoAR4B3jJzHrUUb4X8GJYrgT4DXCXmZ2RUOynwI+AHwMHA2PC5z9rotMQEZEMlere2FjgIXe/L3w+2sxOBC6l9pC7BFjp7qPD5wvM7ChgHPBUuG0w8Jy7Pxc+X2pmzwJHNckZiIhIxkpZT9PM2gL9gFdq7HqFIPhqM6iW8i8D/c2sTfj8LWCYmR0cfp9DgOMIeqgiIiKNJpU9zW5AFrCqxvZVwAl1vOZAYHIt5VuHxysHbgI6AfPNrCrcd4O731PbAc1sJDASIC8vj5kzZwKQn59Phw4dWLRoEQBdunShoKCA0tJSALKysiguLqasrIzNmzcDUFRUxLp164D9I/0AmoPqn0dBQQEVFRWsWLECgNzcXLKzs1mwYAEAHTt2pLCwkNmzZ1NVVQVASUkJixcvZsOGDQD07t2bLVu2sHLlSiD4eXfu3JmysjIAOnXqRJ8+fSgtLcXdMTNKSkpYuHAhmzZtAqCwsJCNGzdSXl4ORG+nlmTu3LlUVlYCUFxczPLly1m/fj3Q/NqpJan+XWnfvj1FRUXNtp1a0vvX2rVrWbZsGQA5OTnk5OQwf/58ILl2qo+5exOeQsI3MssHPgGGuvubCdvHA+e6+8G1vOZDYIK7X5+w7RjgdSDP3T81s3OA3wJXAP8CjiT43PQKd3+gvjqVlJT4lClTGnxuVz7ccv7T3fy99emuQqNQm8ST2iV+1Ca7y87OnuHu/Wvbl8qe5hqgiqD3mOgAdu99Vvu0jvLbgbXh898Ct7j7X8Lnc83sIILPSOsNTRERkWSk7DNNd68AZgDDa+waTjA6tjbT2P3S7XDgfXevDJ93IAjjRFXoHlQREWlkqR49exswwcymA28TjI7NB+4FMLNHANz9grD8vcBlZnYH8Afga8CFwLkJx3wOuMrMlhBcni0hGKX7SFOfjIiIZJaUhqa7P25mXYFfAnnAPOBkd18WFulRo/wSMzsZuJ3gtpSVwI/d/amEYqOB64F7CC7dlgP3Adc15bmIiEjmSfmsOeGo1lpHtrr7sbVsewPoW8/xNgE/Cb9ERESajD73ExERiUihKSIiEpFCU0REJCKFpoiISEQKTRERkYgUmiIiIhEpNEVERCJSaIqIiESk0BQREYlIoSkiIhKRQlNERCQihaaIiEhECk0REZGIFJoiIiIRKTRFREQiUmiKiIhEpNAUERGJSKEpIiISkUJTREQkIoWmiIhIRApNERGRiBSaIiIiESk0RUREIlJoioiIRKTQFBERiUihKSIiEpFCU0REJCKFpoiISEQKTRERkYgUmiIiIhEpNEVERCJSaIqIiESk0BQREYlIoSkiIhKRQlNERCQihaaIiEhECk0REZGIFJoiIiIRKTRFREQiUmiKiIhEpNAUERGJSKEpIiISkUJTREQkIoWmiIhIRApNERGRiBSaIiIiESk0RUREIlJoioiIRKTQFBERiUihKSIiEpFCU0REJCKFpoiISEQKTRERkYgUmiIiIhEpNEVERCJSaIqIiESU8tA0s1FmtsTMtpnZDDM7eg/ljwnLbTOzxWZ2SUOPKSIisjdSGppmdjZwJ3AjUAK8A7xkZj3qKN8LeDEsVwL8BrjLzM7Y22OKiIjsrVT3NMcCD7n7fe6+wN1HA+XApXWUvwRY6e6jw/L3AQ8D4xpwTBERkb2SstA0s7ZAP+CVGrteAQbX8bJBtZR/GehvZm328pgiIiJ7pXUKv1c3IAtYVWP7KuCEOl5zIDC5lvKtw+NZssc0s5HAyPDp/2VnZ5dFqXwMdAPWNPU3uf+/m/o7tDhN3i5qk6TpdyWemtPvykF17UhlaFbzGs+tlm17Kl+93eopU+sx3f2PwB/3XM14MbP33b1/uushu1K7xI/aJJ5aSrukMjTXAFUEvcdEB7B7T7Hap3WU3w6sJQjHZI8pIiKyV1L2maa7VwAzgOE1dg0nGPFam2nsfpl1OPC+u1fu5TFFRET2Sqovz94GTDCz6cDbBKNj84F7AczsEQB3vyAsfy9wmZndAfwB+BpwIXBu1GO2IM3uknKGULvEj9oknlpEu5h7fR8nNsE3NBsFXAnkAfOA/3b3qeG+1wHc/diE8goYdSsAAAcvSURBVMcAtwOHAiuBm9z93qjHFBERaSwpD00REZHmSnPPioiIRKTQFBERiUihKSIiEpFCs5kwM7WVSASJvytmZvWVFUmW3oibCXffke46iDQH7r7DzDqFjzXSURqVRs/GnJl9Gfg+8B/AR0AZwW01c919vZmZ3hhSK/FnbmatgR36oyb9zKyIYNWjEmARsByYBbzp7h+HZfT7Ig2i0IyxcD3Rp4D2wHvAYQRTBK4DpgK3u/tH6athZjKzHKAo8V7g8DJgFlClN+XUM7OvEKy9u4pgkpODCabXbEcQoPe7e83VkKQJmVkuwexsL7r7unrKtXH3ytTVrGF0eTbefgp8Agxz9wvcvS/BkmcTgW8B/zSz09JZwQx1DfC6mX1qZneb2SEe2O7ubmatzKyHmX3HzLLSXdkMMQ74EDjF3X/m7t8GRgB3EYTn02b2X+msYAb6JfAIsMjMnjSzk82sXWIBM+sBjKm5Pc7U04wxM3sTeNbdf2tmbQg+otmesP8xYD/glHCfGjMFwikb3yfo1ZwOHA4sBh4E7nX3dWZ2NXCRuxekr6aZw8xeBN5z9/HVf6i4e1XC/lsJpuE8zt23pKmaGcXMpgGvE/wxcx5wNMFCG08Bf3L3mWZ2PXCuu/dOW0WTpJ5mvP0DOM/MOoUT1G8PF99uH+6/G/gqMECBmRpmdhCwHpgOXA+cDJxEsDj6JcAaM3sb+G+CXo6kxsvARWZ2sLtXuXuVmbUNF6oHeADIBY5KXxUzh5nlAyuAJe7+J+BEoBi4kyA83zOzuQSfQTer3xP1NGPMzPoBzxEskXaNuz9bY38hMBvI1l/PqWFmnYFvA0vd/Y2E7e0JFgroB4wChgCd3H1rWiqaYcLP/ycRXHm53t0frLH/MGAmsJ9+V5qemXUEjgP+7e7v1tjXgWB8xjiCKzXN6vdEoRlT1aP8zKw3cDMwkGBN0reAl4BDgDMI3rzPSl9NM1f14J/ES+bh9j8DX0pceECaXnibyW8ILgW2AV4BJhO8QQ8BZiWsoCQpVNuoZTN7CPiKux+dnlrtHYVmM2Bm+xCsK3oCweWlQwk+G3gAmODuy9JYvYyXOHKWYKTzVOA37v5UWiuWIcKff6vwkuw+BJ8xDyXo6fQFlgCPApPc/dP01TRzhBNM1DnOIrwy8zfg9+7+dEor10AKzRgK/8OdBuQQvAl/BEx1943hm4ITXNJYk8ZqZpwa7dKBYGTzG+7+74Qy7YAT3P2F9NRSAMLBQDvCqzVd3H1DuuskXwgHNvZ392nprkuyFJoxE15iegAYBuwgeGM2YDPBpaY/u/vCsGwr3VSfGrW0ywqCP162Am8Aj7r7B+mrYeYJ33h7Acvc/fNa9msigxTbU5u0BBo9Gz8/BgqBk909F/gucCvBLEDfAm4Lb67X1HqpVbNdzgPuAP4FfAO4ubpdJGV+BJQC95rZt8zswMT7YsNeZmczOyl8M5emV2+bQDCYzsxOSRjZ3Kyopxkz4b2ZT7v7bTW2ZxHcZ/YA8JG7n5iO+mUqtUv8hPcBbgNaE0z6sRx4mmAU7Vx332BmlwAXuvvA9NU0c2RCm6inGSPhPKbzgDOqey1mlmVmWeG9Z1MJ7gXsbmbF6axrJlG7xE/YDpXAfeHoy4MI/nD5JsFArClm9lPgJ8C7dR5IGk2mtIlCM0bCWxceJpj2a5yZ5VbfqJ1Q7EOgJ8HtJ5ICapdYak3Qg1kL4O4r3P3X7v5Vgntl/wlcSTD5x81pq2VmyYg20eXZGAlHZ7YCLgJuJPhP+FfgceBj4AiCzzWL3P0/0lXPTKN2iafwtgV3923hbSfAF8uBmdkNBJ9Bl6SrjpkmE9pEoRlTZrYfcCHBQKAjgU3A5wTTt/2m5iwbkhpql3ipa4RsOOvMTII5Tm9Kfc0yV0tvE4VmTITTs21K/M8W9nD2AfYlmNVks96UU0vtEj+1tUktZfYBzgYec/eKlFUuQ2VSmyg0Y8LM/kDQW5lOcI/TxlrK7O9aeDql1C7xE7FN9nP3z1JeuQyVSW2i0IwBMzsX+DOwkWCB6VcJVm2YA3zi7lvNbF+CqcCudve5aatsBlG7xE8dbfJ3gjZZGbZJe+AvwC/cfV7aKpshMq1NFJoxYGb3EcxbejPBrP/fA74ClBGsRv8Pghvr73T3ZnlDcHOkdokftUn8ZFqbKDTTLLwH8Eqgs7tflbD9UOAHwJkEn5/tBzzs7lp9PgXULvGjNomfTGwThWYMmNn+QK67fxBOLVVZY+DJ2cBjQF93n5WuemYatUv8qE3iJ9PapHW6KyDg7uuB9eHjCtg5QtPCG+g7A9tawn+45kTtEj9qk/jJtDZRaMaU7zoZeydgfLrqIl9Qu8SP2iR+WnKb6PJsMxCu0FDlWtUkVtQu8aM2iZ+W1iYKTRERkYg0YbuIiEhECk0REZGIFJoiIiIRKTRFREQiUmiKiIhEpNAUERGJ6P8BAZdJp/0H8MYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "circuit.measure(2, 2)\n",
    "simulator = Aer.get_backend('qasm_simulator')\n",
    "result = execute(circuit, backend = simulator, shots = 1024).result()\n",
    "counts = result.get_counts()\n",
    "from qiskit.tools.visualization import plot_histogram\n",
    "plot_histogram(counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'110': 275, '101': 246, '111': 258, '100': 245}\n"
     ]
    }
   ],
   "source": [
    "print(counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}