{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Erzeugung eines GHZ-Zustands"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Das Programm definiert einen Schaltkreis zur Erzeugung des GHZ-Zustands\n",
    "\n",
    "$$ |\\Psi \\rangle = \\frac{1}{\\sqrt{2}} \\Big( |000\\rangle + |111\\rangle \\Big) $$\n",
    "\n",
    "und führt eine Simulation mit anschließender Messung aus."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import qiskit stuff\n",
    "import qiskit\n",
    "from qiskit import QuantumCircuit,  execute, Aer\n",
    "from qiskit.tools.visualization import circuit_drawer\n",
    "from qiskit.visualization import plot_histogram\n",
    "\n",
    "#import python stuff\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 507.997x264.88 with 1 Axes>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Definition des Schaltkreis\n",
    "circuit = QuantumCircuit(3,3)\n",
    "\n",
    "circuit.h(0)\n",
    "circuit.cx(0,1)\n",
    "circuit.cx(0,2)\n",
    "circuit.barrier()\n",
    "circuit.measure([2,1,0],[0,1,2]) # Vertausche die Messreihenfolge\n",
    "circuit.draw('mpl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'000': 4984, '111': 5016}\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Ausführen einer Simulation\n",
    "backend = Aer.get_backend('qasm_simulator')\n",
    "\n",
    "job = execute(circuit, backend, shots=10000)\n",
    "result = job.result()\n",
    "counts = result.get_counts(circuit)\n",
    "print(counts)\n",
    "plot_histogram(counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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": "3.8.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
