barrier.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "792bdc49-a35e-44ec-ade5-40daede91da7",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "ibmqfactory.load_account:WARNING:2022-01-05 20:46:12,570: Credentials are already in use. The existing account in the session will be replaced.\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "# Importing standard Qiskit libraries\n",
    "from qiskit import QuantumCircuit, transpile, Aer, IBMQ,execute\n",
    "from qiskit.tools.jupyter import *\n",
    "from qiskit.visualization import *\n",
    "from ibm_quantum_widgets import *\n",
    "from qiskit.providers.aer import QasmSimulator\n",
    "# Loading your IBM Quantum account(s)\n",
    "provider = IBMQ.load_account()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "cd544f4c-507d-43ec-87f9-de48d02cea4a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 839.279x264.88 with 1 Axes>"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qc = QuantumCircuit(3)\n",
    "qc.x(1)\n",
    "qc.barrier()\n",
    "qc.h(0)\n",
    "qc.h(1)\n",
    "qc.h(2)\n",
    "qc.barrier()\n",
    "qc.z(1)\n",
    "qc.barrier()\n",
    "qc.h(0)\n",
    "qc.h(1)\n",
    "qc.h(2)\n",
    "qc.barrier()\n",
    "\n",
    "qc.measure_all()\n",
    "qc.draw('mpl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0d8c2bd0-9e51-43ca-b058-96c9243cfce2",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bea25820-2549-4769-bfe0-ac4d333f5ff7",
   "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": "3.8.13"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {},
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}