{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a694c513",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from qiskit import QuantumCircuit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f4f2f294",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 1. A quantum circuit for preparing the quantum state |000> + i |111> / √2\n",
    "qc = QuantumCircuit(3)\n",
    "qc.h(0)             # generate superposition\n",
    "qc.p(np.pi / 2, 0)  # add quantum phase\n",
    "qc.cx(0, 1)         # 0th-qubit-Controlled-NOT gate on 1st qubit\n",
    "qc.cx(0, 2)         # 0th-qubit-Controlled-NOT gate on 2nd qubit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1ccd51de-36af-4a76-bf9a-2799f8f963bc",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 2. Add the classical output in the form of measurement of all qubits\n",
    "qc_measured = qc.measure_all(inplace=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d083ce1e-2d27-44ef-b503-1816ea48d5dd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 3. Execute using the Sampler primitive\n",
    "from qiskit.primitives import StatevectorSampler\n",
    "sampler = StatevectorSampler()\n",
    "job = sampler.run([qc_measured], shots=1000)\n",
    "result = job.result()\n",
    "print(f\" > Counts: {result[0].data['meas'].get_counts()}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3fa4227a-152a-4c79-b2e3-b87239bfbb96",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 4. Define the observable to be measured \n",
    "from qiskit.quantum_info import SparsePauliOp\n",
    "operator = SparsePauliOp.from_list([(\"XXY\", 1), (\"XYX\", 1), (\"YXX\", 1), (\"YYY\", -1)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b64350b2-4dfa-4be3-96fa-48f21fdbd8fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 5. Execute using the Estimator primitive\n",
    "from qiskit.primitives import StatevectorEstimator\n",
    "estimator = StatevectorEstimator()\n",
    "job = estimator.run([(qc, operator)], precision=1e-3)\n",
    "result = job.result()\n",
    "print(f\" > Expectation values: {result[0].data.evs}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c01f685b-e010-4964-95e2-0eab528735be",
   "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": "3.12.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}