Quantum_teleportation.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "78ec322e",
   "metadata": {},
   "outputs": [],
   "source": [
    "from qiskit import *\n",
    "from qiskit.tools.visualization import plot_histogram\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "47cbdc0e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 387.597x264.88 with 1 Axes>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "circuit = QuantumCircuit(3,3)\n",
    "\n",
    "circuit.x(0)\n",
    "\n",
    "circuit.barrier()\n",
    "\n",
    "circuit.h(1)\n",
    "circuit.cx(1,2)\n",
    "\n",
    "circuit.barrier()\n",
    "\n",
    "\n",
    "circuit.draw(output='mpl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "f344d106",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<qiskit.circuit.instructionset.InstructionSet at 0x28aba85ad40>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "circuit.cx(0,1)\n",
    "circuit.h(0)\n",
    "\n",
    "circuit.barrier()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "dc962546",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 568.197x264.88 with 1 Axes>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "circuit.draw(output='mpl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "650e9209",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 748.797x264.88 with 1 Axes>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "circuit.measure([0,1],[0,1])\n",
    "circuit.barrier()\n",
    "\n",
    "\n",
    "circuit.draw(output='mpl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b88c587d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAswAAADWCAYAAADFA9TOAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/MnkTPAAAACXBIWXMAAAsTAAALEwEAmpwYAAAsdElEQVR4nO3dfVxUdd7/8fcMKKiomVTmDWqKiCigeJsGmFpuudXmTVn529UtuwzbtZs1r5+luW1lrqXtlpaZrV3W7iqW2S+rlVKyzPIO741uLNQwCU3EGxRmfn/MJTmNnDPowDkHXs/Hg8djOHNuPuibmQ9nvud7XF6v1ysAAAAA5+S2ugAAAADAzmiYAQAAAAM0zAAAAIABGmYAAADAAA0zAAAAYICGGQAAADBAwwwAAAAYoGEGAAAADNAwAwAAAAZomAEAAAADNMwAAACAARpmAAAAwAANMwAAAGCAhhkAAAAwQMMMAAAAGKBhBgAAAAzQMAMAAAAGaJgBAAAAAzTMAAAAgIFwqwtA9du9e7fh888995zGjx9vuE7Hjh1DWRJsxCwfEhmpzcgHzIQiI+QDdsMZZgR4/vnnrS4BNkdGYIR8wAwZgdPQMAMAAAAGaJgBAAAAAzTMCJCZmWl1CbA5MgIj5ANmyAichoYZAAAAMEDDjADDhg2zugTYHBmBEfIBM2QETsO0ciYe+GKnthw9asmxkxo21NNxnSw5NoDQeGODtP+wNcdu0US6ubs1x7bChAkTlJOTU+3HTU5O1uzZs6v9uACqDw2ziS1Hj+qjw4esLgOAQ+0/LH190OoqaoecnBxlZ2dbXQaAGoghGQiQkZFhdQmwOTICI+QDZsgInIaGGQHM7tAFkBEYIR8wQ0bgNDTMCJCammp1CbA5MgIj5ANmyAichoYZAQoKCqwuATZHRmCEfMAMGYHT0DADAAAABmiYEaBTJ6aygzEyAiPkA2bICJyGhhkBli5danUJsDkyAiM1OR9hYWFyu3nrvFA1OSOomfitR4ApU6ZYXQJsjozAiBPyER4ersGDB2vKlCnKzMzU+++/r7fffltPP/20brvtNjVp0iRgm7CwMP3P//yP5s+fT9N8gZyQEeBs/MYjwJIlS6wuATbnxIx4vVZXUHvYOR/16tXTI488ou+++07vvvuupk2bpqFDh+qaa67RkCFDdP/99+u1117T/v37tWDBArVp00bSz83yyJEjNXToULVv397aH8Th7JyRmoTXvdCx9Z3+PB6PnnnmGb344ovau3ev4uLi9Le//U1jx45VWlqa5s2bZ3WJAbynT6v03vvk7pqksLvvKl9e9uYyeZa+qfAX58jVoIGFFQK1x95CKfsLaWuedLpMujhK6hsrXRkrRdaxurpzy/xLumI6D1TPmx4OajmC17t3by1cuFAdOnSQJO3cuVPvvPOONm/erMLCQtWrV09dunRRamqqBg0apNGjR2v48OF66KGH1K9fP40cOVJFRUW69tprlZuba/FPA5zbj0elj76QNuyRjp+SGkZKvdpJV3WQGte3ujrnsnXDPGbMGL355pt65JFHlJKSorVr12rkyJEqKCjQ/fffb3V55+SqU0fhk/6k0nsnyNWzh9xdk+Xd8608CxYq7PE/0ywD1WTjHmnRp5K80pmTLIXF0vLN0mdfS+MH+d5IUDsMGTJEmZmZioiI0Pbt2/WHP/xBq1atCljvrbfekiS1a9dOTzzxhEaMGKHnn39eksqb5XXr1lVr7UCwvjkovbBKOlX687KjJ6WsHdK6r6SMgdLlF1lWnqPZdkjG66+/roULF2r58uV68MEH1b9/f02ePFl9+vRRaWmpUlJSJEk//PCDrrnmGtWvX19JSUnavHmzxZVLrjat5R7zW5X99Rl5Dx1S6fQZct/4a7kTu1hdWlCys7OtLgE2Z/eM/FAkvfap7+PIc30iebBIev3Tai+r1rBbPnr16lXeLM+ZM0cpKSnnbJbP9vXXX+u2227T2rVry5ctWrSIZjlE7JaRmuDkaeml1dLp0nM/f6xEmr9a8niqs6qaw7YN85NPPqnBgwcrLS3Nb3n79u1Vp04ddeniaz7HjRunjh07qrCwUBkZGRo2bJjKysqsKNmP+6Yb5Wodo9K7MyS3W+7fjrK6pKDt2LHD6hJgc3bPyCe5ksdg7J5X0q7vfY0zQs9O+YiMjNTChQsVERGhuXPnKiMjQ6dOnTLd7syY5SuvvFLHjx+XJN11111KTEys6pJrBTtlpKbYsEc6cfrcJwkk3/LCY77XPlSeLYdk7Nu3T9u3b9d9990X8FxeXp4SEhIUERGho0eP6p133tH+/ftVr149jR07Vk888YTWrVunvn37Gh7D5XIFVUvYX6fLnVT5F0iXyyVXYhd5N26S+9YRctWp/IDJ1atXy9Wjd6W3M3Ouf9ezzZo1K6h1UDOZ/d9L9s/Ib5/+UhddZn5R1jXD7tWWlc9VaS1DJ69Sy/j0Sm3z+VuPa+OKmX7LTp8sVkzngZXaT3b2av3hmv6V2saM0/IxYcIExcXFaceOHUHVLvlf4HdmGMYdd9yhjIwM/f3vfw84kZOdnR30e0ptEIqM8B5TeUPuW6a2XYfI7Q6rcB2Pp0zjH35BqxeOr8bK7MtbiasibXmGed++fZKkZs2a+S0/ceKEsrOzy4djfPnll2ratKmio6PL1+nSpYt27txZfcVWwLtnjzyv/0vuW4bLs+h1eQ8etLokoNYIC68b1HruINerbj1vnKxx837y+2reoZ/VZTlOWFiYxo0bJ8nXxJWUlAS1zS+b5XXr1mnSpEkqKipSampq+SecgJ0E9brn9Qb9+gh/tjzDfKYBzs3N1XXXXVe+fMaMGcrPz1e3bt0kSceOHVOjRo38tm3UqJGKi4tNjxHsXxUDN3ymjw4fCrZ0375PnVbp9L/KffNNChv9W3kPH1bZjKcVNuNJuSoxd2d6erqyqmBOmN27dxs+P2vWLI0dO9ZwnWeeeSaUJcFGzPIh2T8j81ZJu/LNp1R6bf7Tim/+dJXW8veV0tcW/b2clpauzL+E9jXEzvlIT0/3GxubmpqqmJgY5ebmKisry3T7ipplSSouLtbChQt17733atSoUZo4cWL5dmlpaVq9enXIfx6nCkVGeI+pvLc2Sat2Ga/jDgvXww/epaz5dxmviAC2PMN8xRVXKDExUU888YReffVVffDBBxo3bpwWLFggSeVnmBs0aKCjR4/6bVtUVKSoqKhqr/lsngWvyBUeLveo2yVJYff8l7wHC+RZ+qaldQVr2rRpVpcAm7N7RvrGGjfLLklN6ktxl1dbSbWKXfLRs2dPSdJ7771nepLEqFk+491335Uk9ejRo2oKrkXskpGapE8QU4OHu6Uebau+lprIlg2z2+3WkiVLlJCQoHHjxmn06NGKjo5WRkaGwsPDyy+6iI2N1Y8//qjCwsLybbdv327pPeo9m3PkWfGewiZNlCvcdwLfVb++wiY+IM+ri+Tds8ey2oI1YsQIq0uAzdk9I/EtpKSYcz/nkuRySbf0ltwMO60SdsnHmaETZrMnBdMsn70fLvy7cHbJSE1yaSNpUILxOjelSA0iqqeemsaWQzIkqUOHDgHT/owaNUrx8fGqV6+eJKlhw4a6/vrr9dhjj2n69OlatGiRXC6XevcO/YVywXJ3TZZ7+RuByzsnyP22M84wx8fHa9cuk891UKvZPSNul/R/+koroqQ1uf5zkl5+ke9No0OzCje31LCHV1dquR3ZJR8fffSRTp48qa1btxquN3XqVNNmWZJ+/PFHvfLKK0EN+4Mxu2SkprkuSYqKlFZul4rPGrLfpL50fbLUnbPL5822DfO5bNiwIaAZnjt3ru644w41adJEsbGxWrp0qcLCKr5CFEDtEOaWft1Vuqaz9NBi37L7B0utLvadYUbNN2/evKDuCDt79mylpqZq0qRJhvMsl5aWasyYMaEsEQgpl0tK6yj16yA98E/fsvEDpSsu5RO1C+WYhrm4uFi5ubm65557/JZfdtllWrlypUVVAbC7iLNmdIxpal0dsK9Dhw4pPT3d6jKAkAk7a8Bt+8usq6MmcUzDHBUVZYsbktQGvHHADBmBEfIBM2QETmPLi/5grblz51pdAmyOjMAI+YAZMgKnoWFGgDMT/QMVISMwQj5ghozAaWiYEYAJ+GGGjMAI+YAZMgKnoWEGAAAADNAwAwAAAAZomBGAyeRhhozACPmAGTICp6FhRoDFixdbXQJsjozACPmAGTICp3HMPMxWSWrYsNYde+rUqRoxYoQlx4YzkJHgtWhS+45tVT6Sk5Mrvc03efmSpCtiLvd7XNXHre14DYHT0DCbeDquk9UlAHCwm7tbXUHtMXv27EpvM+kp362zpz801u8xAJyNIRkAAACAARpmBJgzZ47VJcDmyAiMkA+YISNwGhpmBEhISLC6BNgcGYER8gEzZAROQ8OMAGlpaVaXAJsjIzBCPmCGjMBpaJgBAAAAAzTMAAAAgAEaZgTo0aOH1SXA5sgIjJAPmCEjcBoaZgRYv3691SXA5sgIjJAPmCEjcBoaZgAAAMAADTMAAABggIYZATIzM60uATZHRmCEfMAMGYHT0DADAAAABmiYEWDYsGFWlwCbIyMwQj5ghozAacKtLgA4440N0v7D1hy7RRPp5u7WHBtA7TVhwgTl5ORYcuzk5GTNnj3bkmMDTkPDDNvYf1j6+qDVVQBA9cnJyVF2drbVZQAwwZAMBMjIyLC6BNgcGYER8gEzZAROQ8OMAOPHj7e6BNgcGYER8gEzZAROQ8OMAKmpqVaXAJtzQkaKT0obv5WWbfx52asfS1k7pK9+kDxey0qr8ZyQD1iLjMBpGMOMAAUFBVaXAJuzc0YKiqT/bJc2fyeVevyf2/Sd70uSmkZJV8VJV3WQwjh1EFJ2zgfsgYzAaWiYAdQIXq+U/YX0To50usx8/cJi39nnDd9It/WRmjep8hIBAA7FeRUE6NSpk9UlwObslhGPV1r8ua8BDqZZPtu+w9Kz/2GGllCyWz5gP2QETkPDjABLly61ugTYnN0ysmKL9OlX5799Sak0b5V04EjoaqrN7JaPmsblcikuLk4DBgzQwIEDlZSUpDp16lS4fmRkpCZMmCC32z5v+WQETmOf3x7YxpQpU6wuATZnp4x8c1D6YIfxOrNv930ZKSmVXv9UKvMYrwdzdspHTeFyuXTttddq2bJlOnLkiHbv3q2srCytXLlSOTk5Onr0qLKzs3X77berbt265dtFRkZq+fLlmjVrlmbMmGHhT+CPjMBpbN0wezwezZw5U7GxsYqMjFRSUpKys7MVFxensWPHWl1ejbVkyRKrS6jxDv7vhWnLN0nZu30zOjiJXTLi9UqZ66VQTXiRVyh9/k2IdlaL2SUfNUWnTp302Wef6b333tONN96ohg0bau/evfrwww+VlZWl3NxcRUREKDU1VYsWLVJubq4GDBhQ3iwPGjRIBw4c0Msvv2z1j1LOKRnxeKTt+6T/l+P72rHPtwy1j60v+hszZozefPNNPfLII0pJSdHatWs1cuRIFRQU6P7777e6PFgs8y/piuk8UD1vejio5XZQctp3FnPLXv/lyzdLAzpJv0qUXC5ranOibw5K3/8U2n2u+ULq3Y7/B9jDqFGj9NJLLykiIkL79+/Xc889p1dffVXff/+933qNGzfW8OHD9cc//lGdO3dWVlaW9uzZo7Zt2+rAgQO6+uqrtWvXLot+CmfaUyAt/Fj66bj/8ovqS7+7SmoTbU1dsIZtzzC//vrrWrhwoZYvX64HH3xQ/fv31+TJk9WnTx+VlpYqJSVFkjR16lR16tRJbrdbmZmZFlcNVMzjleZnBzbLkm8YwH+2S+9urf66nGz9ntDv8/ufQt+EA+fjjjvu0KuvvqqIiAi99NJLio+P1/Tp0wOaZUk6cuSI5s+fr65du2rKlCnyeDxq27atjh07RrN8Hr4/LM35QDpyIvC5I8el57Ok/J+qvSxYyLYN85NPPqnBgwcrLS3Nb3n79u1Vp04ddenSRZIUGxurZ599Vj179rSizBopOzvb6hJqpC/ypS9/MF4na4czhmfYJSPfFVbNfvOqaL+1hV3y4WQdO3bUSy+9JEmaOHGixo4dq6NHj5puFx4erquuukput1ter1cNGjRQhw4dqrrcSrN7Rt7bJpWW+YZ9/ZJXvufe31btZcFCtmyY9+3bp+3bt2v48OEBz+Xl5SkhIUERERGSfH+BDxo0SJGRkdVdZo21Y4fJFVQ4L+u+Nv+Y3+OVNnxbLeVcEDtkxOORfqiiWS2+P1w1+60t7JAPp1uwYIEiIyP18ssv669//WtQ2/xyzPKTTz4pSXrhhRfUuHHjqiy30uyckWMl0rZ9xtdGeCVt3SsdL6muqmA1W45h3rdvnySpWbNmfstPnDih7OxsXXfddRd8DFctHqB43333GT4/a9asoNYJtaGTV6llfHqltvn8rce1ccVMv2WnTxYrpvPASu0nO3u1/nBN/0ptU1m3PLpOzdr3MlzH4ynTlL88qzWvPVCltRgx+7+XrMvI2cIj6ivj5WN+y8xmwqjo+Qmv+X//4vxXNKznmAuoruZySj6C9dD0FyX53hPOfmyl/v37q0+fPjpw4EDQ1+v8slm++uqrtXv3bqWlpalv374aPXq0Zs+e7bdNdnZ2lfysociIlflo2jJBd0zfbrqexyu1uqKTDn1vz+Euf1zka/mtzrOdec/1EUIFbHmGOTraN5I+NzfXb/mMGTOUn5+vbt26WVEWbKjnjZM1bt5Pfl/NO/SzuqxzKjn+kzwe47tquFxunTrOZMDB8JSellS5F7xglZWeCvk+gWCNGzdOkjRnzhwVFRWZrn+uZnnXrl3yer3lU8md2SfMlVTiNbjkBK/XtYXLWxXvNhfI4/Goa9euys/P18yZM9WiRQtlZmZqxYoVysvL07p169Srl/+ZuvT0dI0fP17Dhg2zqGrn2L17t+Hz8fHxpheIdOzYMZQlSZL+vrJyd1sL5SwZ7S6V7h0U/LHPx7qvpH99Zr7epCFSMws/PTXLh2RdRn7pz8ukQ8dMVys/s/zLM8kVubGb1D/+vMuq0ZyUj2BMemqeJGn6Q2P9HleX9PT0gPG8hYWFuvjii9WmTRt99913httX1CyfERYWpoKCAjVp0kStWrUq/wRXktLS0rR69eqQ/jxSaDJidT6eeU/aW1jxsAyXS2rdVJpwbbWWVSlnXu/MPnlDcGx5htntdmvJkiVKSEjQuHHjNHr0aEVHRysjI0Ph4eFKTEy0usQabdq0aVaXUCN1a+Objsjo07GEFtY2y8GyS0ZaXeys/dYWdsmHE7Vp00YXX3yxDh48eMHNsiSVlZVpw4YNklQ+u5Qd2D0jAxNMxjB7feug9rBlwyxJHTp00KpVq3Ts2DHl5eXpscce07Zt2xQfH6969eqVr3f69GmdPHlSHo+n/LENT5o7yogRI6wuoUaqGy6Nu1pq9IvrU8800FdcIo3qW/11nQ+7ZCQxJvT7bBTJ/KoXyi75cKLmzZtLkr7++mvD9YJpls/46quv/PZtB3bPSGIr6TcGf18M7S51bll99cB6trzoryIbNmxQ7969/ZbdddddWrhwoSRpzZo1kqQ9e/aoTZs21V1ejRHMx6l2MOzh1ZVabgeXNZb+7w3Spm+lf//v8IzOLaRe7aROzSW3bf+E9WeXjCS1kt6MDO1UfL3bS+FhodtfbWSXfDjRp59+qoYNGyoszDiE9erVU3R0dFA3JZk4caImTZqkY8eCGL9UTZyQkbSOUnxz6ZMvfXdkPbOsX6x0SSNra0P1c8jbs1RcXKzc3NyAC/7+8Y9/yOv1+n3RLMPOIsKlPu1//v73ab4zFU5plu0kPEwakhS6/TWqJ6XbY2gtaimv16vi4mIdOWJ8Mdnhw4c1cOBApaWlmTaexcXFKioqUlmZ8UXHCHRpI/8zzb9JoVmurRxzhjkqKopfdgABerXz3T1xV+DNzyrtlp5S/YgL3w9QHQ4dOqRDhw5ZXQZQKzimYUb1SU9Pt7oE2JydMuJy+cZ+z/lA2ldB7xDM7Bg3pUgJjEkMCTvlA/ZERuA0fAiMAHPnzrW6BNic3TJSv66UMeD8LsKpGy6N7M1QjFCyWz5gP2QETkPDjABMcA8zdsxIvbrS71OlO66UmjQwX98lX4P90PW+YR0IHTvmA/ZCRuA0DMlAgKqYyB41i10z4nJJ3dtK3Vr7xjRv3y/tPST9eFQq80j16kjNm/imjetxhdQ0yuqKaya75gP2QUbgNDTMAGoct9s3HpkxyQCAUGBIBgAAAGCAhhkB7D6ZPKxHRmCEfMAMGYHTMCQDARYvXmzJbUtbNKn2Q9ri2E5kVUbgDOQjeMnJyee13Td5+ZKkK2Iu93tcHccOBTICp6FhRoCpU6da8kJ2c/dqPyTOk1UZgTOQj+DNnj37vLab9NQ8SdL0h8b6PXYKMgKnYUgGAAAAYICGGQAAADBAw4wAc+bMsboE2BwZgRHyATNkBE5Dw4wACQkJVpcAmyMjMEI+YIaMwGlomBEgLS3N6hJgc2QERsgHzJAROA0NMwAAAGCAhhkBevToYXUJsDkyAiPkA2bICJyGhhkB1q9fb3UJsDkyAiPkA2bICJyGhhkAAAAwQMMMAAAAGKBhRoDMzEyrS4DNkREYIR8wQ0bgNDTMAAAAgAEaZgQYNmyY1SXA5sgIjJAPmCEjcJpwqwsAAABAzTFhwgTl5ORYcuzk5GTNnj075PulYQYAAEDI5OTkKDs72+oyQoohGQiQkZFhdQmwOTICI+QDZsgInIaGGQHGjx9vdQmwOTICI+QDZsgInIaGGQFSU1OtLqHGKz758+O8Qqmk1LpazgcZgRHyATNOyYjHK/1Q9PP3PxT5lqH2YQwzAhQUFFhdQo10sEj65Etpa550+PjPy595T3JJatZY6t5W6tVOioq0rMygkBEYIR8wY+eMeDzSzu+ltV9KXx/0P6Hx5NtSRLjU7lKpb6wU31xyc+qxVqBhBqrYydPS8s2+F9+KeCXlH5HezpHe2yZdnySlxvFCDADVKa9Q+uenvtfjipSU+hrqnd9Ll18k3dZHanVxtZUIi/B2jACdOnWyuoQa44ci6a8rjJvlXzpdJi3bJM390Nds2xEZgRHyATN2zEj2bmn2+8bN8i/l/yTNek9a80WVlQWboGFGgKVLl1pdQo1QcFR6bqVUWHx+23/5g69pLrFh00xGYIR8wIzdMrJ6t/TmxvMbn+zxSks3+BpuVK/GjRtX27FomBFgypQpVpfgeGUeaeEa6ejJiteZfbvvy8h3P0pvbQ5tbaFARmCEfMCMnTKyp0B6a6PxOsG8Xi/bKH37Y+jqqi3Cw8P161//WjNmzFBWVpa2bNminJwcvf3223r00UfVt2/fc243bdo0bdq0STExMdVSp60bZo/Ho5kzZyo2NlaRkZFKSkpSdna24uLiNHbsWKvLq7GWLFlidQmO9+FOad/h0Oxr7ZfSlwdCs69QISMwQj5gxi4ZKS2T/rnOdx3JhfJKev1T3z7t5LTN6jkjPDxcDz74oL799lstX75cf/rTnzRgwAAlJiYqKSlJQ4YM0dSpU/Xxxx9r69atGjFiRPm206ZN05QpUxQTE6Pk5OTqqbdajnKexowZozfffFOPPPKIUlJStHbtWo0cOVIFBQW6//77rS4POKdTpdKqXaHdZ9YOKbZZaPcJALXdlr2+GYxC5WCRtG2f1LV16PZZWXmF0gc7f/7+vxdL3dpIAzpJl1XfCAZDHTt21KJFi5SSkiJJ2rVrl/79739rw4YN2rt3r8LCwhQbG6tevXrptttuU5cuXfTvf/9bI0aM0DfffKM//elPKi0t1e23367ly5dXS822bZhff/11LVy4UKtXr1ZaWpokqX///tq0aZPeeOMNpaSkqKSkRHfffbdWrlypY8eOqVu3bnr++ecVHx9vcfWozXLypOOnQrvPLw5IBUXSJY1Cu18AqM0+yQ39Pj/Ota5h3r5PWvCR/xnzUo+0/hvfe9O4q6W2l1hT2xnJycnKyspS06ZN9e233+qee+7Ru+++G7De5s2btXjxYk2aNEljxozRjBkzNHToUEkqb5YXL15cbXXbdkjGk08+qcGDB5c3y2e0b99ederUUZcuXVRaWqr27dvr888/V2FhoQYOHKhbbrnFooprjpp2//fqlltFwydyf6ia/Z4PMgIj5ANm7JCRU6XSnioYc7ynwJphEMdKpIUfS16v7+tsXvlqevkja4eMNGvWTO+//76aNm2qt99+W126dDlns3y206dP68UXX9Qrr7xSvmzPnj164403qrpcP7ZsmPft26ft27dr+PDhAc/l5eUpISFBERERatCggR5++GG1aNFCYWFhuvfee7Vt2zadPGlwpRVM7dixw+oSHG3foarZ797Cqtnv+SAjMEI+YMYOGdl/OLCxDAWPV/o+RNewVMbn3/ia4op+JK/Xd5fZrXurtSw/L7zwgi699FJ9+OGHGjp0qIqLg5tGatq0afrjH/+o0tJSFRQUKDY2VhMnTqziav3ZckjGvn37JPn+EjnbiRMnlJ2dreuuu+6c261du1Zt2rRRZKT5bdJcLteFF+pQ9913n+Hzs2bNCmodnNt/vXhYEQ0uKv/e7Mrqip6f8Jr/9/9c+o5G9hlyYcUFwez/XiIjtVlNy8dD01+U5HtPOPux3dm57lBkpDry0b7HUF3/x0y/ZaF6vR7wq9/o6w3Lzr+483DDA2+rddKv5HaHVbiOx1OmB6fN06p/3FONlfkMGDBAN954o44cOaLf/va3On06uDlTz1zgd2YYRmFhobKysjRlyhTNnz9fBw8e9Fs/Ozs76N8FbyX+YrLlGebo6GhJUm6u/+CiGTNmKD8/X926dQvY5vDhw8rIyNDjjz9eLTUCFaqiNy2Xy5a/rgDgTFX6B0b1//HiMmiUy3m9wa1XBTIyMiRJM2fOLD8xauaXzfLixYv1wQcf6K233lJERITGjBlTlSX7cXkr015XE4/Ho65duyo/P18zZ85UixYtlJmZqRUrVigvL0/r1q1Tr169ytc/ceKErrnmGqWmptIwB2H3buPZ1ePj47Vrl/E0Dx07dgxlSTXKX5ZLPx41X+/MmYpfnpmoSPe20h1Xnn9dwTLLh0RGarOalo9JT82TJE1/aKzfY7uzc92hyEh15OPLH6Tns4Jbt7Kv1/cOktpden51na8VW6T/bDdfb3hPqW9s1daSnp7uN069QYMG+umnnyRJLVu21A8/mF+Uc65m+YzBgwfr3Xff1datW5WUlOS3XVpamlavXh2Sn+Nstjxl5Xa7tWTJEiUkJGjcuHEaPXq0oqOjlZGRofDwcCUmJpavW1paqhEjRig2NpZmOUSmTZtmdQmO1rJJ1ey31cVVs9/zQUZghHzAjB0yUlWv1S5JLapo30b6tDc+r+2SVDdc6t6mmgo6S3JyssLDw7Vt27YLbpYlafXq1SotLVVCQoLq1atXVWX7sWXDLEkdOnTQqlWrdOzYMeXl5emxxx7Ttm3bFB8f7/ePc+edd8rj8WjevHkWVluznD05OCqvqs4qXFHNZyuMkBEYIR8wY4eM1KsrNa+CxrZFEymyTuj3a6ZJA+k33X2Pf9k4n/n+tt5ShAW1JSQkSJK2bNliuq5ZsyxJJ0+e1O7duxUWFqa4uLiQ13sutm2Yz2XDhg3lk1xL0nfffaeFCxfqww8/1EUXXaSoqChFRUUpLy/Pwiqdj3msL0xKG6lOiIeItbrYXmeYyQiMkA+YsUtGrmwf+n32qeLhDkZS46Tf9Qu8QUlMU+m/rpaSLZofevPmzfrzn/9sOhXcwIEDTZvlM55//nk9+uij+vHH6rkfuS1nyTiX4uJi5ebm6p57fr6ys3Xr1pW6whGoDvUjpN7tpTVfhG6f/e3x3gIANUr3ttJ723zTrYVCw0hrhjycLbm1lBQjHTjim5u5UT3pUotverV+/XqtX7/edL2srCw9/vjj2rp1q+lNSV544YVQlRcUxzTMUVFRKiuz6Q3RgV+4Psl3x6XDxy58XwktrL3NKgDUVJF1pBE9fXfHC4Vbelkz5OGXXC7p8ousruL8PPzww1aXcE6OaZhRfdLT060uwfEi60j/p68054OK7/gUzNXWTaN8L8A2mV61HBmBEfIBM3bKSGIrqV8H3y2tKxLM63VqnNS5Zejqgr04agwzqsfcuXOtLqFGaHuJNDZdijjPP0svaShlDPB9nGY3ZARGyAfM2C0jN3eX+l3A2OOrOkg3pZivB+eiYUaAcePGWV1CjRHbTJp4vRR7WeW2uzJWeuBX0sVRVVPXhSIjMEI+YMZuGXG7pKE9fJ8MNqgb/HZREdLvrvJt67bZJ4EILYZkIEBVTPhdmzWNksYNkHZ9L32SK+3Kl851rWqdMKlbG99Hg3aaEeNcyAiMkA+YsWNGXC7fa3Dc5dJnX0trv5R+LD73utFRUt8OUs8rpAYR1VomLELDDFQDt8t38V5CC6nktLT/sHSwSCr1+CaSb36R7wKNMD7zAQBLNYiQru7km53op+PS3kPS0ROSXFKjSKlVU6lxPftdW4KqRcMMVLOIOr6bkNjpRiQAAH8ul+9mIE0aWF0J7IDzWQiwa9cuq0uAzZERGCEfMENG4DQ0zAhgNlk4QEZghHzADBmB0zAkAwGmTp2qESNGWF0GbIyMwAj5gBkyUrMlJydXeptv8vIlSVfEXO73uDqOHQwaZgAAAITM7NmzK73NpKfmSZKmPzTW77FdMCQDAAAAMEDDjABz5syxugTYHBmBEfIBM2QETkPDjAAJCQlWlwCbIyMwQj5ghozAaWiYESAtLc3qEmBzZARGyAfMkBE4DQ0zAAAAYICGGQAAADDAtHK1UMeOHQ2fnzp1quk6qLmC+b8nI7UX+YAZMoKaiDPMCPDoo49aXQJsjozACPmAGTICp6FhBgAAAAzQMAMAAAAGaJgBAAAAAzTMAAAAgAEaZgAAAMAADTMAAABggIa5AoMGDVJSUpISExM1bNgwFRUVWV0SAMBmVq9erYSEBLVv31533nmnysrKrC7J1L333quWLVsqPJxbMaBm2Lt3rwYMGKD4+Hh17txZ//3f/x3yY9AwVyAzM1NbtmzR1q1bFRMTo2eeecbqkgAANuLxeHTnnXdqyZIl+uqrr1RUVKRFixZZXZapW265RRs3brS6DCBkwsPD9dRTT2nXrl3atGmT1q5dq7feeiukx6BhrkDjxo0l+V4Qjx07JpfLZXFFAAA7Wb9+vZo3b65OnTpJkn7/+99r6dKlFldlrl+/frrsssusLgMImcsvv1zdu3eXJNWtW1eJiYnKy8sL6TFomA3ccMMNatasmb744gs98MADVpcDALCRffv2qVWrVuXfx8TEaO/evRZWBKCwsFDLli3ToEGDQrpfl9fr9YZ0jzWMx+PR5MmTFR0dTdMMAA53suSUFi59XydLTkmS8g8WSpIuv7Sp3+MzfnNNP8W0OPfZ2MzMTC1btqx8GMbOnTt1++23a/PmzSGv++P127Rxe27590Z1t25xmW4c1Nf0k9Hw8HCVlpaGvFYgGF6vV8v+87Hyvj8oyfx3sXtinPqmdDbcZ0lJiQYPHqwhQ4aEvGfjDLMJt9ut3/3ud/rHP/5hdSkAgAsUGVFXPZM6Kv9gYfmbsqSAx/kHC3VZdJMKm2VJatWqld/Hvnv37lXLli2rpO4eSR1VcuqUad2Fh4+oX48uDCOE7blcLvXr0UU/HvrJ9Hfx9OlS9egSZ7i/srIy3X777eratWuVnOCkYT6HoqIi5efnl3+/dOlSJSQkWFgRACBUkju1V5e4tobrNG7YQDcO6mu4Tvfu3bV//37t3LlTkvTyyy/r5ptvDlmdZ4uoW0cjru9v2ghff3UfRTdpXCU1AKF2ycUX6fqr+xiu43K5NOL6dNWtW8dwvbFjx6phw4Z6+umnQ1liORrmczhy5IhuuOEGdenSRYmJicrJydGzzz5rdVkAgBBwuVy66dqr1DCqfoXrDL8uXfUiIwz3ExYWppdeeknDhg1Tu3btFBUVpVGjRoW63HJtWjZTWq+kCp/v2C5GPZM6mu7n7rvvVsuWLVVWVqaWLVsqIyMjlGUCldIrOV4d2raq8Pn+fboaftIjSZ988okWLFigDRs2qGvXrkpOTtbf/va3kNbJGOZK8nq9fNQFADXAF1/n6ZXM9wKW9+3eWb8ecKUFFZkrLSvT868u8/vYWpLq14vQfWOGG/4RANhV0dFjmr0gU8dPlvgtb9EsWvfccZPCwqw/v2t9BQ6T/dkWvbZspUodMDk9AKBice1i1LtrJ79llza9SINTe1pUkbnwsDDdOqS/wsPC/JbffG0qzTIcq1HDBrrp2qv8loWHh+mW6/vbolmWakDDvG3bNg0dOlTR0dGKjIxUbGysJk+eXCXHKik5pY8+26JTp0sDXqwAAM5zXXqv8jG/brdLtwy5WnXq2PsOeJddcrGuTetR/n23zh3U2WRMNmB3iR2vUNeE9uXf/yqtly6NbmJhRf4c3TBv3LhRvXv31q5duzRz5kytWLFCkyZN0oEDB6rkeGs37dDxkyUa2DelSvYPAKhedevW0Yjr0+VyuTSwb4paNIu2uqSg9O3eRVfENNdFjaJ0w0B7Dh8BKuuGgX3VuGEDtW/dQn1S7DXZgqPHMKenp2v37t3Kzc1Vo0aNKrXtpKfmVVFVAAAAsLvpD40Nel3HnmE+fvy41qxZo1tvvbXSzTIAAAAQLHsP1DJw+PBheTwetWjR4ry2r8xfFSUlp/TUC/9Uq+aXavTwX53X8QAAAOBMjm2YmzRpIrfbrf3795/X9uczJOOLb/YylAMAAKAGqBVDMurXr6/U1FT961//UlFRkdXlAAAAoIZy9EV/GzduVGpqqlq3bq2JEyeqdevWysvL05o1azR//vyQHGPVp5v1/kfrlTHqJrVqfmlI9gkAAADncOyQDElKSUnRp59+qkceeUT33XefTp48qVatWunWW28Nyf5LSk5pzedbFXdFK5plAACAWsrRZ5irWv7BQi1atlK3DrmahhkAAKCWomE24fF45HY7dqg3AAAALhANMwAAAGCAU6cAAACAARpmAAAAwAANMwAAAGCAhhkAAAAwQMMMAAAAGKBhBgAAAAzQMAMAAAAGaJgBAAAAAzTMAAAAgAEaZgAAAMAADTMAAABggIYZAAAAMEDDDAAAABigYQYAAAAM0DADAAAABmiYAQAAAAM0zAAAAIABGmYAAADAAA0zAAAAYICGGQAAADBAwwwAAAAYoGEGAAAADNAwAwAAAAZomAEAAAADNMwAAACAARpmAAAAwAANMwAAAGDg/wM6Yk7tOPAPFgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 929.397x264.88 with 1 Axes>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "circuit.cx(1,2)\n",
    "circuit.cz(0,2)# controlled Z-gate\n",
    "\n",
    "circuit.measure([2],[2])\n",
    "circuit.draw(output='mpl')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a909ab57",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "simulator = Aer.get_backend('qasm_simulator')\n",
    "result = execute(circuit,backend=simulator,shots=1024).result()\n",
    "plot_histogram(result.get_counts(circuit))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "78847f9c",
   "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
}