{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Erzeugung und Messung eines Bell-Zustands" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Das Programm definiert einen Schaltkreis (Algorithmus) zur Erzeugung des Bell-Zustands\n", "\n", "$$ |\\Psi \\rangle = \\frac{1}{\\sqrt{2}} \\Big( |00\\rangle + |11\\rangle \\Big) $$\n", "\n", "und führt eine Simulation aus, wobei die Messung in einer gedrehten Basis erfolgt." ] }, { "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": [ { "data": { 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\n", 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" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Definition eines freien Parameters\n", "phi = Parameter('Phi')\n", "\n", "# Erzeugung des Schaltkreis mit\n", "# zwei Qubits und zwei klassischen Bits\n", "circuit = QuantumCircuit(2,2)\n", "\n", "circuit.h(0)\n", "circuit.cx(0,1)\n", "\n", "circuit.barrier()\n", "\n", "# Drehung der Messbasis, phi ist ein freie Parameter\n", "circuit.ry(phi,0) \n", "circuit.ry(phi,1)\n", "\n", "circuit.measure([1,0],[0,1]) # Vertausche die Messreihenfolge\n", "circuit.draw('mpl')" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# Setze konkreten Wert für den Parameter\n", "circuit = circuit.bind_parameters({phi: 2*np.arccos( 1/np.sqrt(3) )})" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "{'11': 5004, '00': 4996}\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "execution_count": 4, "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)" ] } ], "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 }