circuit_tester.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "731212f7-5acb-41a2-884c-09c940a5a8e3",
   "metadata": {},
   "outputs": [],
   "source": [
    "import qiskit\n",
    "from qiskit.quantum_info import random_statevector, DensityMatrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "0a8a7eb7-67fc-4f50-8944-81aa4589879a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 329.554x200.667 with 1 Axes>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qc = qiskit.QuantumCircuit(1)\n",
    "qc.measure_all()\n",
    "qc.draw('mpl', style='clifford')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "d6130277-73e1-4c64-b006-ec3ced788ff6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 580.387x284.278 with 1 Axes>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qc = qiskit.QuantumCircuit(2)\n",
    "qc.h(0)\n",
    "qc.cx(0,1)\n",
    "qc.measure_all()\n",
    "qc.draw('mpl', style='clifford')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "7260159d-cd15-4baa-a1d2-76655316d621",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 747.609x367.889 with 1 Axes>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qc = qiskit.QuantumCircuit(3)\n",
    "qc.h(0)\n",
    "qc.cx(0, 1)\n",
    "qc.cx(1, 2)\n",
    "qc.measure_all()\n",
    "qc.draw('mpl', style='clifford')"
   ]
  }
 ],
 "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": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}