qiskit-half-adder.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "outputs": [],
   "source": [
    "from qiskit import QuantumCircuit\n",
    "from qiskit import Aer, transpile\n",
    "from qiskit.visualization import plot_histogram"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "outputs": [],
   "source": [
    "qasm_sim = Aer.get_backend('qasm_simulator')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "outputs": [],
   "source": [
    "def half_adder():\n",
    "    qc = QuantumCircuit(4)\n",
    "    # 2 XOR gates\n",
    "    qc.cx(0, 2)\n",
    "    qc.cx(1, 2)\n",
    "    # 1 AND gate for carry bit\n",
    "    # Toffoli gate is a universal gate\n",
    "    qc.ccx(0, 1, 3)\n",
    "    HA = qc.to_gate()\n",
    "    HA.name = \"HA\"\n",
    "    return HA"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 267.197x325.08 with 1 Axes>",
      "image/png": "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\n"
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "add_0_0 = QuantumCircuit(4, 2)\n",
    "add_0_0.append(half_adder(), [0, 1, 2, 3])\n",
    "add_0_0.measure([2,3], [0,1])\n",
    "add_0_0.draw(\"mpl\")"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 504x360 with 1 Axes>",
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAc0AAAE6CAYAAAB00gm8AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAAsTAAALEwEAmpwYAAAZWUlEQVR4nO3df7SdVZ3f8fcXIiomqAlDyM0lYgzVmoggBwW8QHSZoeAqIkxFF5imVFLiSERqO7oGqLGKUx0ZGKfUITNLCNoWxQ7WMUAsEsNAuHiTaRSwSTpgxoTLDRmiUQkJ4Ld/PCeZ08v9sU9ycu8h5/1a66ycs/d+9v0+f33y/NpPZCaSJGl0h4x3AZIkvVQYmpIkFTI0JUkqZGhKklTI0JQkqZChKUlSoQnjXcB4OvLII/PYY48d7zIkSW1kzZo12zLzd4bq6+jQPPbYY+nr6xvvMiRJbSQiNg3X5+lZSZIKGZqSJBUyNCVJKmRoSpJUyNCUJKmQoSlJUiFDU5KkQoamJEmFDE1JkgoZmpIkFTI0JUkqZGhKklTI0JQkqZChKUlSIUNTkqRChqYkSYUMTUmSChmakiQVMjQlSSpkaEqSVMjQlCSpkKEpSVIhQ1M6CF1yySUcddRRzJkzZ8j+zGTx4sXMmjWL448/nrVr1+7tu+WWWzjuuOM47rjjuOWWW/a2r1mzhre85S3MmjWLxYsXk5kHfD+kdmNoSgehBQsWcNdddw3bf+edd7Jx40Y2btzITTfdxKJFiwB4+umnWbJkCb29vTz00EMsWbKE7du3A7Bo0SKWLl26d7uR5pcOVoamdBA644wzmDx58rD93/nOd5g/fz4RwSmnnMIvfvEL+vv7ufvuu5k3bx6TJ0/mta99LfPmzeOuu+6iv7+fHTt2cMoppxARzJ8/nzvuuGPsdkhqE4am1IG2bNnCMcccs/d3d3c3W7ZsGbG9u7v7Re1SpzE0JUkqZGhKHWj69On8/Oc/3/t78+bNTJ8+fcT2zZs3v6hd6jSGptSBzj33XJYtW0Zm8uCDD/LqV7+aadOmcdZZZ7FixQq2b9/O9u3bWbFiBWeddRbTpk3jiCOO4MEHHyQzWbZsGe973/vGezekMTdhvAuQ1Hof+tCHWLlyJdu2baO7u5slS5bw3HPPAXDZZZdxzjnnsHz5cmbNmsXhhx/O1772NQAmT57M1VdfzcknnwzANddcs/eGohtvvJEFCxawc+dOzj77bM4+++zx2TlpHEUnP2tVq9Wyr69vvMuQJLWRiFiTmbWh+jw9K0lSIUNTkqRChqYkSYUMTUmSChmakiQVMjQlSSpkaEqSVMjQlCSp0JiGZkScERH/MyK2RERGxIKCbd4SET+MiJ317a6JiBg05oKIeDQidtX/ff8B2wlJUsca6yPNicDDwMeBnaMNjogjgO8DA8DJ9e3+HXBlw5hTgduAbwAn1P/9VkS8o8W1S5I63JiuPZuZy4HlABFxc8EmFwGHA/8yM3cCD0fEm4ArI+K6rNYAvAK4NzM/X9/m8xHxrnr7h1q7B5KkTtbu1zRPBe6rB+YedwNdwLENY1YM2u5u4LQDXp0kqaO0+1tOjgY2D2obaOh7vP7vwBBjjh5qwohYCCwE6OrqYuXKlQDMnDmTSZMmsW7dOgCmTJnC7NmzWbVqFQATJkygp6eHtWvXsmPHDgBqtRoDAwP80XffsD/7KElqgc9e2M/69euB6p2x3d3d9Pb2AjBx4kRqtRqrV69m165dAPT09LBhwwa2bt0KwJw5c/b2DWfc3nISEb8GPpaZN48wZgWwOTMvaWibAWwCTsvM1RGxG/hIZi5rGDMfWJqZLx+phla95eTS6/d7CknSflp6RWvmeSm/5eRJYOqgtqkNfSONeRJJklqo3UNzNXB6RLyioW0e8ATws4Yx8wZtNw944IBXJ0nqKGP9nObEiDghIk6o/+0Z9d8z6v1fiIh7Gjb5r8AzwM0RMScizgc+Bey5cxbgBuDdEfGpiHhTRHwaeBdw/RjtliSpQ4z1kWYN+Nv655XAkvr3z9b7pwF776rJzF9SHTV2AX3Afwa+DFzXMOYB4IPAAuDHwHzgwszsPbC7IknqNGP9nOZKIEboXzBE20+AM0aZ93bg9v0sT5KkEbX7NU1JktqGoSlJUiFDU5KkQoamJEmFDE1JkgoZmpIkFTI0JUkqZGhKklTI0JQkqZChKUlSIUNTkqRChqYkSYUMTUmSChmakiQVMjQlSSpkaEqSVMjQlCSpkKEpSVIhQ1OSpEKGpiRJhQxNSZIKGZqSJBUyNCVJKmRoSpJUyNCUJKmQoSlJUiFDU5KkQoamJEmFDE1JkgoZmpIkFTI0JUkqZGhKklTI0JQkqZChKUlSIUNTkqRChqYkSYUMTUmSChmakiQVMjQlSSpkaEqSVMjQlCSpkKEpSVIhQ1OSpEKGpiRJhZoKzYg4JCIOafh9dER8JCLe2frSJElqL80eaX4PuBwgIiYCfcCXgJURMb/FtUmS1FaaDc0a8IP69/OBHcBRwKXAJ0smiIiPRsTjEfFsRKyJiNNHGHtzROQQn980jJk7zJg3NblvkiSNqNnQnAj8ov79d4G/ysznqIL0DaNtHBEXAjcA1wInAg8Ad0bEjGE2+TgwbdDnMeCbQ4ydPWjcxqI9kiSpULOh+ffAOyPiVcBZwPfr7ZOBZwq2vxK4OTOXZuZPM/NyoB9YNNTgzPxlZj6550MVzDOBpUMM39o4NjNfaHLfJEkaUbOheR1wK7AZ2AKsqrefAfxkpA0j4jDgJGDFoK4VwGmFf/9S4JHMfGCIvr6I6I+IeyLiXYXzSZJUbEIzgzPzzyNiDXAM8P3M/G296++Aq0fZ/EjgUGBgUPsA8J7R/nZEvBr4APDpQV17jlR/BBwGfBi4JyLOzMz7hphnIbAQoKuri5UrVwIwc+ZMJk2axLp16wCYMmUKs2fPZtWq6v8FEyZMoKenh7Vr17Jjxw4AarUaAwMDFJyZliQdYP39/axfvx6A6dOn093dTW9vLwATJ06kVquxevVqdu3aBUBPTw8bNmxg69atAMyZM2dv33AiMw/gLjT8oYguqqPTMzNzVUP7NcBFmfnGUbb/feDLQFdmPj3K2OXA85l57kjjarVa9vX1le7CsC69fr+nkCTtp6VXtGaeiFiTmbWh+ppe3KB+9+sjEfFMRMyst/1BRHxglE23AS8AUwe1TwWeLPjTlwLfHi0w63qB4wrGSZJUrNnFDa4ArgJuAqKh6wngYyNtm5m7gTXAvEFd86juoh3p774deCtD3wA0lBOoTttKktQyTV3TBC4DLs3M70XE5xra11I98jGa64BbI+Ih4P76fF3AVwEiYhlAZg5eKGEhsDEzVw6esB7kPwMeobqmeTFwHnBB4T5JklSk2dB8HfDwEO3PAa8cbePMvC0iplAdrU6rz3VOZm6qD3nR85oRMQn4IPDZYaY9jGpVom5gJ1V4vjczl49WjyRJzWg2NB8D3gZsGtR+DvBoyQSZeSNw4zB9c4do+xXVogrDzfdF4Islf1uSpP3RbGj+MfBnEXE41TXNUyPiw8C/By5pdXGSJLWTZp/T/FpETKBaBu9wqoUOngAWZ+ZtB6A+SZLaRrNHmmTmUmBpRBwJHJKZW1tfliRJ7afp0NwjM7e1shBJktrdqKEZET+mWsVne0T8BBh2CaHMPL6VxUmS1E5KjjS/Dexq+D426+5JktRmRg3NzFzS8P0zB7QaSZLaWLPL6P0gIl4zRPsREfGDllUlSVIbanbB9rlUK/AM9grg9P2uRpKkNlZ092xEvK3h5/ER0fimkUOBs6he+yVJ0kGr9JGTPqobgBJYMUT/TuDyVhUlSVI7Kg3N11Mtm/cY8HbgqYa+3cDWzHyhxbVJktRWikKz4S0kTb+0WpKkg0XJ4gbnA9/NzOfq34eVmf+jZZVJktRmSo40bweOBrbWvw8nqW4KkiTpoFSyuMEhQ32XJKnTGIKSJBUqvaZZxGuakqSDWek1zRJe05QkHdSauqYpSVInMxAlSSrkc5qSJBXyOU1Jkgr5nKYkSYUMQUmSCjUdmhHxtohYFhF99c+tg963KUnSQamp0IyIi4AfAdOA5fXPVOChiLi49eVJktQ+St+nucfngasz89rGxoj4NPA54OutKkySpHbT7OnZ3wG+OUT7t4Cj9r8cSZLaV7OheS8wd4j2ucAP97cYSZLaWbMLtt8JfCEiasCD9bZTgPOBz7S8OkmS2si+Lti+sP5p9BXgxv2uSJKkNuWC7ZIkFTIQJUkq1OwjJ0TEa4GzgRnAYY19mfnZFtUlSVLbaSo0I+IU4HvALqrHT7ZQLXSwC/gZYGhKkg5azZ6e/RLwDWA68Czwbqojzj7gP7W2NEmS2kuzoXk88GeZmcALwMszcwD4A3zkRJJ0kGs2NHc3fB8AXlf//mugqyUVSZLUppq9EWgtcDKwAVgJfC4ipgIXAz9ubWmSJLWXZo80/xB4ov79KuApqkUNXsuLFzuQJOmg0tSRZmb2NXx/iurRE0mSOkLTz2kCRMQbgH9a//loZj7WupIkSWpPzT6nOQX4S+Bc4Lf/2Bx/DVySmf/Q4vokSWobzV7T/AtgFnA68Ir65wzg9cDS1pYmSVJ7aTY0zwIuzcz7M/P5+ud+4N/U+0YVER+NiMcj4tmIWBMRp48wdm5E5BCfNw0ad0FEPBoRu+r/vr/J/ZIkaVTNhuZTwG+GaH8GGPXUbERcCNwAXAucCDwA3BkRM0bZdDbVcn17Phsb5jwVuI1qpaIT6v9+KyLeMVo9kiQ1o9nQ/CxwfURM39NQ//5lytadvRK4OTOXZuZPM/NyoB9YNMp2WzPzyYbPCw19VwD3Zubn63N+nuoZ0iuK90qSpAKj3ggUET8BsqHp9cDPImJL/feedWiPorrmOdw8hwEnAX88qGsFcNooZfRFxMuBR4HPZea9DX2nUj0r2uhu4GOjzClJUlNK7p69vUV/60jgUKrl9xoNAO8ZZps9R6E/onoN2YeBeyLizMy8rz7m6GHmPHqoCSNiIfWFGLq6uli5ciUAM2fOZNKkSaxbtw6AKVOmMHv2bFatWgXAhAkT6OnpYe3atezYsQOAWq3GwMAA8IZRd16SdGD19/ezfv16AKZPn053dze9vb0ATJw4kVqtxurVq9m1axcAPT09bNiwga1btwIwZ86cvX3DiWrt9QMvIrqoXiV2Zmauami/BrgoM99YOM9y4PnMPLf+ezfwkcxc1jBmPrA0M18+0ly1Wi37+vpGGlLk0uv3ewpJ0n5aekVr5omINZlZG6pvXxc3eDfwZqrTto9k5sqCzbZRvRll6qD2qcCTTfz5XuCDDb+fbMGckiSNqqkbgSJiekQ8BHyf6nVgn6I6XdpbP5IcVmbuBtYA8wZ1zaO6i7bUCVSnbfdY3YI5JUkaVbNHmn9KdbQ4KzMfB4iImcDX632/N8r21wG31oP3fuAyqleKfbU+1zKAzJxf/30F8DPgEaprmhcD5wEXNMx5A7AqIj4F3AG8H3gX0NPkvkmSNKJmQ3MeMHdPYAJk5mMRsRi4Z7SNM/O2+lJ8V1E9b/kwcE5mbqoPGfy85mHAl4BuYCdVeL43M5c3zPlARHwQ+BzVYy9/B1yYmb1N7pskSSPal2uaQ905VHw3UWbeCNw4TN/cQb+/CHyxYM7bad1dvpIkDanZxQ3uAb4SEcfsaaiv5nM9BUeakiS9lDUbmouBVwGPRcSmiNhEdTr0VfU+SZIOWs2env0H4O3AXGDPouk/zcz/1cqiJElqR8WhGRGHAr8E3pqZ36d67ESSpI5RfHq2vkj6Jqo7WiVJ6jjNXtP8j8AfRcSRB6IYSZLaWbPXND9J9ZaTLRGxmUHv1szM41tVmCRJ7abZ0Lyd6pnMOAC1SJLU1opCMyIOp1qZ5zzgZVTPZF6emdsOXGmSJLWX0muaS4AFwPeA/0b1/sv/coBqkiSpLZWenj0f+NeZ+d8BIuIbwP0RcWj9rlpJkg56pUeaxwD37fmRmQ8Bz1O9oUSSpI5QGpqHArsHtT3PPr7EWpKkl6LS0Avg6xGxq6HtFcDSiHhmT0NmntvK4iRJaieloXnLEG1fb2UhkiS1u6LQzMx/daALkSSp3TW7jJ4kSR3L0JQkqZChKUlSIUNTkqRChqYkSYUMTUmSChmakiQVMjQlSSpkaEqSVMjQlCSpkKEpSVIhQ1OSpEKGpiRJhQxNSZIKGZqSJBUyNCVJKmRoSpJUyNCUJKmQoSlJUiFDU5KkQoamJEmFDE1JkgoZmpIkFTI0JUkqZGhKklTI0JQkqZChKUlSIUNTkqRChqYkSYUMTUmSCo15aEbERyPi8Yh4NiLWRMTpI4w9PyJWRMRTEfGriOiNiHMHjVkQETnE5xUHfm8kSZ1kTEMzIi4EbgCuBU4EHgDujIgZw2xyJvAD4L318cuBvxoiaJ8BpjV+MvPZ1u+BJKmTTRjjv3clcHNmLq3/vjwi/hmwCPj04MGZ+fFBTUsi4r3AecB9///QfPIA1CtJ0l5jdqQZEYcBJwErBnWtAE5rYqpJwPZBba+MiE0RsTki/joiTtyPUiVJGtJYHmkeCRwKDAxqHwDeUzJBRPw+0A3c2tC8HrgEWEcVqB8H7o+It2bmxiHmWAgsBOjq6mLlypUAzJw5k0mTJrFu3ToApkyZwuzZs1m1ahUAEyZMoKenh7Vr17Jjxw4AarUaAwMDwBtKypckHUD9/f2sX78egOnTp9Pd3U1vby8AEydOpFarsXr1anbt2gVAT08PGzZsYOvWrQDMmTNnb99wIjMP4C40/KGILmALcGZmrmpovwa4KDPfOMr2F1CF5YWZ+d0Rxh0K/G/g3sxcPNKctVot+/r6yndiGJdev99TSJL209IrWjNPRKzJzNpQfWN5I9A24AVg6qD2qcCI1yMj4veoAnP+SIEJkJkvAH3AcfteqiRJLzZmoZmZu4E1wLxBXfOo7qIdUkR8gCowF2Tm7aP9nYgI4Higf9+rlSTpxcb67tnrgFsj4iHgfuAyoAv4KkBELAPIzPn13x+kCsxPAqsi4uj6PLsz8+n6mP8APAhsBI4AFlOF5qIx2idJUocY09DMzNsiYgpwFdXzlA8D52TmpvqQwc9rXkZV4/X1zx4/BObWv78GuAk4Gvgl8LfAGZn5UMt3QJLU0cb6SJPMvBG4cZi+uSP9HmabTwCfaEVtkiSNxLVnJUkqZGhKklTI0JQkqZChKUlSIUNTkqRChqYkSYUMTUmSChmakiQVMjQlSSpkaEqSVMjQlCSpkKEpSVIhQ1OSpEKGpiRJhQxNSZIKGZqSJBUyNCVJKmRoSpJUyNCUJKmQoSlJUiFDU5KkQoamJEmFDE1JkgoZmpIkFTI0JUkqZGhKklTI0JQkqZChKUlSIUNTkqRChqYkSYUMTUmSChmakiQVMjQlSSpkaEqSVMjQlCSpkKEpSVIhQ1OSpEKGpiRJhQxNSZIKGZqSJBUyNCVJKmRoSpJUyNCUJKmQoSlJUiFDU5KkQmMemhHx0Yh4PCKejYg1EXH6KOPPrI97NiIei4jL9ndOSZL2xZiGZkRcCNwAXAucCDwA3BkRM4YZ/3pgeX3cicAXgK9ExAX7OqckSftqrI80rwRuzsylmfnTzLwc6AcWDTP+MuCJzLy8Pn4pcAvwyf2YU5KkfTJmoRkRhwEnASsGda0AThtms1OHGH83UIuIl+3jnJIk7ZOxPNI8EjgUGBjUPgAcPcw2Rw8zfkJ9vn2ZU5KkfTJhvAsYaxGxEFhY//nriFg/nvVIbeRIYNt4FyHtq7/4RMumet1wHWMZmtuAF4Cpg9qnAk8Os82Tw4x/vj5fNDtnZt4E3FRctdQhIqIvM2vjXYfUzsbs9Gxm7gbWAPMGdc2juuN1KKuHGd+Xmc/t45ySJO2TsT49ex1wa0Q8BNxPdXdsF/BVgIhYBpCZ8+vjvwp8LCKuB/4ceCewAPhQ6ZySJLXKmIZmZt4WEVOAq4BpwMPAOZm5qT5kxqDxj0fEOcCfUD1C8gSwODO/3cScksp42UIaRWTmeNcgSdJLgmvPSpJUyNCUJKmQoSlJUiFDU5KkQh23IpCkSkR0A7OoFgn5LbA+M4dbaEQS3j0rdaSIWARcArwV+A3wf4HNwIPAHZm5PiIOyczfjmOZUtvx9KzUYerPNV8LfIfq2eZTqV659wIwH/jTiHhzZv42ImL8KpXaj0eaUoeJiMuBizPzHUP09VC97H068PbMdAF3qYFHmlLn2Q1Miog5ABHx8vq7acnMvwEuAp4Ffnf8SpTak6EpdZ7bqW78uSIiJmXmrszcHRGHAGTm3wO/ALrHsUapLRmaUgepX6N8mmqt5nnAExHxlxFxUr1/RkRcDLwF+Ob4VSq1J69pSh0oIl5D9YKE04D3U71BCKr30AZwa2Z+ZlyKk9qYoSl1iIg4Cvgw8G+pXuK+k+o07N9QPWryMqrnNu/KzA3jVKbU1gxNqUNExM3AbOC7VKdoJ1Odhv0nwFbgqszsHbcCpZcAQ1PqAPVrmb+ietfsqoa2GcA7gI8AM4EPZObacStUanPeCCR1hjcDj1M9bgJAVjZl5jeBf051qvZfjE950kuDoSl1hseoTsH+SUQct+fxkj0ycxfVqkBnj0dx0kuFoSl1gMzcCfwh8EpgGTA/Io6JiIkAEXE4cCbw8PhVKbU/r2lKHaS+CtDVwLlUC7WvBp4C3gP0Ax/JzJ+MX4VSezM0pQ5Uf/zkvcB5VEvmPQx8KzP/z3jWJbU7Q1PqcL4CTCpnaEqSVMgbgSRJKmRoSpJUyNCUJKmQoSlJUiFDU5KkQoamJEmFDE1Jkgr9P6nB8ZHblhrVAAAAAElFTkSuQmCC\n"
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results = qasm_sim.run(transpile(add_0_0, qasm_sim)).result()\n",
    "counts = results.get_counts()\n",
    "plot_histogram(counts)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 327.397x325.08 with 1 Axes>",
      "image/png": "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\n"
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "add_0_1 = QuantumCircuit(4, 2)\n",
    "add_0_1.x(0)\n",
    "add_0_1.append(half_adder(), [0, 1, 2, 3])\n",
    "add_0_1.measure([2,3], [0,1])\n",
    "add_0_1.draw(\"mpl\")"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 504x360 with 1 Axes>",
      "image/png": "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\n"
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results = qasm_sim.run(transpile(add_0_1, qasm_sim)).result()\n",
    "counts = results.get_counts()\n",
    "plot_histogram(counts)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 327.397x325.08 with 1 Axes>",
      "image/png": "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\n"
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "add_1_0 = QuantumCircuit(4, 2)\n",
    "add_1_0.x(1)\n",
    "add_1_0.append(half_adder(), [0, 1, 2, 3])\n",
    "add_1_0.measure([2,3], [0,1])\n",
    "add_1_0.draw(\"mpl\")"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 504x360 with 1 Axes>",
      "image/png": "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\n"
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results = qasm_sim.run(transpile(add_1_0, qasm_sim)).result()\n",
    "counts = results.get_counts()\n",
    "plot_histogram(counts)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 327.397x325.08 with 1 Axes>",
      "image/png": "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\n"
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "add_1_1 = QuantumCircuit(4, 2)\n",
    "add_1_1.x(0)\n",
    "add_1_1.x(1)\n",
    "add_1_1.append(half_adder(), [0, 1, 2, 3])\n",
    "add_1_1.measure([2,3], [0,1])\n",
    "add_1_1.draw(\"mpl\")"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 504x360 with 1 Axes>",
      "image/png": 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\n"
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results = qasm_sim.run(transpile(add_1_1, qasm_sim)).result()\n",
    "counts = results.get_counts()\n",
    "plot_histogram(counts)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}