{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9eea7b9c-a218-49b3-933c-ff29f27763ee",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\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",
    "from qiskit.providers.ibmq import least_busy  #Para verificar qual é o QComputer mais disponível\n",
    "\n",
    "# Loading your IBM Quantum account(s)\n",
    "provider = IBMQ.load_account()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "dd172726-a69f-479f-8770-67d2326e4ffa",
   "metadata": {},
   "outputs": [],
   "source": [
    "def dj_oracle(case, n):\n",
    "    oracle_qc = QuantumCircuit(n+1)\n",
    "    if case == \"balanced\":\n",
    "        for qubit in range(n):\n",
    "            oracle_qc.cx(qubit, n)      \n",
    "    if case == \"constant\":\n",
    "        output = np.random.randint(2)\n",
    "        if output == 1:\n",
    "            oracle_qc.x(n)\n",
    "            \n",
    "    oracle_gate = oracle_qc.to_gate()\n",
    "    oracle_gate.name = \"Oraculo\"\n",
    "    return oracle_gate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8d8c893c-d40f-40b1-b616-c710b8005a26",
   "metadata": {},
   "outputs": [],
   "source": [
    "def dj_algorithm(n, case='random'):\n",
    "    dj_circuit = QuantumCircuit(n+1, n)\n",
    "    for qbit in range(n):\n",
    "        dj_circuit.h(qbit)\n",
    "    dj_circuit.x(n)\n",
    "    dj_circuit.h(n)\n",
    "    if case == \"random\":\n",
    "        random = np.random.randint(2)\n",
    "        if random == 0:\n",
    "            case = 'constant'\n",
    "        else:\n",
    "            case = 'balanced'\n",
    "    oracle = dj_oracle(case, n)\n",
    "    dj_circuit.append(oracle, range(n+1))\n",
    "    for i in range(n):\n",
    "        dj_circuit.h(i)\n",
    "        dj_circuit.measure(i, i)\n",
    "    return dj_circuit\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4c634d4e-67b9-4c80-8375-2f554b7fbdfc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 628.397x385.28 with 1 Axes>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "n = 4\n",
    "dj_circuit = dj_algorithm(n,\"constant\")\n",
    "dj_circuit.draw()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "4d592ad6-c88e-445e-bf3b-adc91e57de89",
   "metadata": {},
   "outputs": [
    {
     "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": [
    "bckend = Aer.get_backend('qasm_simulator')\n",
    "shots = 1024\n",
    "#dj_circuit = dj_algorithm(n,'constant')\n",
    "#dj_circuit = dj_algorithm(n,'balanced')\n",
    "dj_circuit = dj_algorithm(6)\n",
    "results = execute(dj_circuit, backend=bckend, shots=shots).result()\n",
    "resposta = results.get_counts()\n",
    "\n",
    "plot_histogram(resposta)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cfdb5d40-2d88-46a8-ab68-df0842c130a2",
   "metadata": {
    "tags": []
   },
   "source": [
    "# Como analizar o Resultado Final?\n",
    "### Se o resultado for bitstream: 0000..0 (todos zeros) => f(0)=f(1) : i.e., função é constante\n",
    "### Se o resultado for bitstream for diferente de 0000..0  ==> f(x): função é balanceada\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "d5a009cf-e82d-4d14-9666-10dad248e224",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Backend menos ocupado:  ibmq_manila\n"
     ]
    }
   ],
   "source": [
    "bckend2 = least_busy(provider.backends(filters=lambda x: x.configuration().n_qubits >= (n+1) and not x.configuration().simulator and x.status().operational==True))\n",
    "print(\"Backend menos ocupado: \", bckend2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "7bb08182-1450-4dc4-9f2a-fe0dec211760",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "fd6c696c1ee9413d9472fd2b86223b1e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Accordion(children=(VBox(layout=Layout(max_width='710px', min_width='710px')),), layout=Layout(max_height='500…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "        const isLab = window['Jupyter'] === undefined;\n",
       "        const notebook = document.querySelector( isLab ? 'div.jp-Notebook' : '#site');\n",
       "        const jobWidget = document.querySelector('div.job_widget');\n",
       "        notebook.prepend(jobWidget);\n",
       "        jobWidget.style.zIndex = '999';\n",
       "        jobWidget.style.position = isLab ? 'sticky' : 'fixed';\n",
       "        jobWidget.style.boxShadow = '5px 5px 5px -3px black';\n",
       "        jobWidget.style.opacity = '0.95';\n",
       "        if (isLab) {\n",
       "            jobWidget.style.top = '0';\n",
       "            jobWidget.style.left = '0';\n",
       "        }\n",
       "        "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%qiskit_job_watcher\n",
    "dj_circuit = dj_algorithm(n)  #Escolhe circuito Randomicamente!!\n",
    "job = execute(dj_circuit, backend=bckend2, shots=shots, optimization_level=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "247460ed-7059-47c6-8528-8aa1192af7a6",
   "metadata": {},
   "outputs": [],
   "source": [
    "results = job.result()\n",
    "resposta = results.get_counts()\n",
    "plot_histogram(resposta)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "1ac66ba5-cf4a-4212-8927-e0ffb7d2d2b1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Resultado anterior - round 3\n",
    "bck = provider.get_backend('ibmq_lima')\n",
    "old_job = bck.retrieve_job(\"61d261fc525f9e2b6f398bb3\")\n",
    "resultado3 = old_job.result()\n",
    "resposta3 = resultado3.get_counts()\n",
    "plot_histogram(resposta3)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2b1b5cb7-02df-4aad-a3ca-dfbcb9e15c1f",
   "metadata": {},
   "outputs": [
    {
     "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": [
    "#Resultado anterior - round 1\n",
    "bck = provider.get_backend('ibmq_lima')\n",
    "old_job = bck.retrieve_job(\"61c07da520e2c46b48ead8ef\")\n",
    "resultado = old_job.result()\n",
    "resposta1 = resultado.get_counts()\n",
    "plot_histogram(resposta1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ed3d3266-f5d5-4662-8330-d7fad39647cb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Resultado anterior - round 2\n",
    "bck2 = provider.get_backend('ibmq_manila')\n",
    "old_job = bck2.retrieve_job(\"61d25da4525f9eefe9398ba7\")\n",
    "resultado2 = old_job.result()\n",
    "resposta2 = resultado2.get_counts()\n",
    "plot_histogram(resposta2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fab9f831-1ec6-4289-956c-b07abce42249",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fc0fa85f-106a-445a-ad75-a5050153c32c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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