{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Intraportation eines Qubit-Zustands"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Teleportation einen Qubit-Zustands innerhalb eines Schaltkreises"
   ]
  },
  {
   "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.circuit import QuantumCircuit,Parameter\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": [],
   "source": [
    "# Definition eines freien Parameters\n",
    "phi = Parameter('Phi')\n",
    "phi_value =  np.pi/5 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 808.997x264.88 with 1 Axes>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Erzeugung des Schaltkreis mit\n",
    "# zwei Qubits und zwei klassischen Bits\n",
    "circuit = QuantumCircuit(3,1)\n",
    "\n",
    "# Definition von |Psi>\n",
    "# Drehwinkel wird später explizit festgelegt\n",
    "circuit.ry(phi,0)\n",
    "\n",
    "circuit.barrier()\n",
    "# Verschränkung von q1 und q2\n",
    "circuit.h(1)\n",
    "circuit.cx(1,2)\n",
    "\n",
    "circuit.barrier()\n",
    "\n",
    "circuit.cx(0,1)\n",
    "circuit.h(0)\n",
    "\n",
    "circuit.barrier()\n",
    "# Korrektur \n",
    "circuit.cx(1,2)\n",
    "circuit.cz(0,2)\n",
    "circuit.barrier()\n",
    "\n",
    "circuit.measure([2],[0]) # Vertausche die Messreihenfolge\n",
    "circuit.draw('mpl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Setze konkreten Wert für den Parameter\n",
    "circuit = circuit.bind_parameters({phi: phi_value })"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'1': 909, '0': 9091}\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "execution_count": 5,
     "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": "markdown",
   "metadata": {},
   "source": [
    "## Visualisierung des teleportierten Zustands\n",
    "\n",
    "Folgedes Codebeispiel zeigt durch eine Simulation den du"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 193.726x144.48 with 1 Axes>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qubit = QuantumCircuit(1,1)\n",
    "\n",
    "qubit.ry(phi,0)\n",
    "qubit.measure([0],[0]) # Vertausche die Messreihenfolge\n",
    "qubit.draw('mpl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'0': 9046, '1': 954}\n"
     ]
    },
    {
     "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": [
    "qubit = qubit.bind_parameters({phi: phi_value })\n",
    "\n",
    "backend = Aer.get_backend('qasm_simulator')\n",
    "\n",
    "job = execute(qubit, backend, shots=10000)\n",
    "result = job.result()\n",
    "counts = result.get_counts(qubit)\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
}
