quantum_programming.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Quantum_Programming.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/RegaipKURT/Python-Projects/blob/master/Quantum_Programming.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Fn03ATSDkGzQ",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "!pip3 install qiskit "
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cM4MXqeCkUlw",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import qiskit as q\n",
        "%matplotlib inline"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5KGvlaXnnUSi",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 185
        },
        "outputId": "07b779ad-dc47-44d3-c219-915fcabb82af"
      },
      "source": [
        "circuit = q.QuantumCircuit(2,2) # 2 qubits and 2 classical bits\n",
        "\n",
        "#aşağıdaki kapıları ve kullanım şeklimizi anlamak için aşağıdaki linke bakılabilir.:\n",
        "# https://quantum-computing.ibm.com/support/guides/gate-overview?section=5d00d964853ef8003c6d6820#\n",
        "# currently 0,0\n",
        "circuit.x(0) # pauli x kapısı\n",
        "# 1,0 \n",
        "circuit.cx(0,1) # controlled x gate\n",
        "\n",
        "#1,1\n",
        "circuit.measure([0,1],[0,1])\n",
        "circuit.draw() # basit çizim\n",
        "circuit.draw(output=\"mpl\") # matplotlib üzerine çizim"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/png": 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KS0vJz8+/4EThF154gaKiIsrLyykpKaGoqEgl10LujgWfFnrzzBt6O2dz2JWsXr2aP/zh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\n",
            "text/plain": [
              "<Figure size 397.32x204.68 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6xK5y8oxVtGj",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 88
        },
        "outputId": "a48b8a34-3936-49ec-9b93-88758676b82d"
      },
      "source": [
        "from qiskit import IBMQ\n",
        "IBMQ.save_account(open(\"token.txt\", \"r\").read()) #kendi api key'ininizi kopyalayın!\n",
        "IBMQ.load_account()"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/qiskit/providers/ibmq/credentials/configrc.py:130: UserWarning: Credentials already present. Set overwrite=True to overwrite.\n",
            "  warnings.warn('Credentials already present. '\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<AccountProvider for IBMQ(hub='ibm-q', group='open', project='main')>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ootJ75ILXsBD",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153
        },
        "outputId": "aa4ca7e0-d739-45b1-b4e1-ba4689b2c407"
      },
      "source": [
        "# provider ları yani sağlayıcıları alalım ve hangi bilgisayarlar üzerinde işlem yapabiliriz bakalım.\n",
        "\n",
        "provider = IBMQ.get_provider(\"ibm-q\")\n",
        "\n",
        "for backend in provider.backends():\n",
        "    try:\n",
        "        qubit_count = len(backend.properties().qubits)\n",
        "    except:\n",
        "        qubit_count = \"simulated\"\n",
        "\n",
        "    print(f\"{backend.name()} has {backend.status().pending_jobs} qued and {qubit_count} qubits.\")"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "ibmq_qasm_simulator has 0 qued and simulated qubits.\n",
            "ibmqx2 has 0 qued and 5 qubits.\n",
            "ibmq_16_melbourne has 15 qued and 14 qubits.\n",
            "ibmq_vigo has 9 qued and 5 qubits.\n",
            "ibmq_ourense has 12 qued and 5 qubits.\n",
            "ibmq_london has 1 qued and 5 qubits.\n",
            "ibmq_burlington has 0 qued and 5 qubits.\n",
            "ibmq_essex has 7 qued and 5 qubits.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WmVGtYgmaj_p",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "37ef7cab-3400-4c3f-e4e6-cb64563454c9"
      },
      "source": [
        "from qiskit.tools.monitor import job_monitor\n",
        "\n",
        "backend = provider.get_backend(\"ibmq_burlington\") # yukarıdan br bilgisayar seçtik işlem için\n",
        "job = q.execute(circuit, backend=backend, shots=500) #işlemimizi belirledik\n",
        "job_monitor(job)"
      ],
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Job Status: job has successfully run\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7p4wl59Gbl6Z",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 331
        },
        "outputId": "809558e5-7579-4495-9c5c-49e1cd5ac1cf"
      },
      "source": [
        "from qiskit.visualization import plot_histogram # sonucu görselleştirnek için\n",
        "from matplotlib import style\n",
        "\n",
        "style.use(\"dark_background\") # plot arkaplanını koyu yaptık\n",
        "result = job.result()\n",
        "counts = result.get_counts(circuit)\n",
        "\n",
        "plot_histogram([counts]) # grafikte 1,1 dışındaki beklenmeyen değerleri de göreceğiz\n",
        "# buna quantum noise deniyor."
      ],
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/png": 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OBzk5OXg8ntixXq+XSCQSC8Wqfo/HQyQSIT8/H7vdTjgcTvnPJiLSWOmUaS2z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\nCKBAFBERARSIIiIiAPw/VchXCXZ0frkAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 504x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 43
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Xen1Havnga7v",
        "colab_type": "text"
      },
      "source": [
        "## **Şimdi başka bir quantum kapısı deneyelim**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mU8LpFJAgZ6H",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 202
        },
        "outputId": "52afc869-8f23-4fe0-8216-c1ba630e0630"
      },
      "source": [
        "circuit = q.QuantumCircuit(2,2) # 2 qubits and 2 classical bits\n",
        "\n",
        "# currently 0,0\n",
        "circuit.h(0) # hadamard kapısı ==> süperpozisyon durumuna getirir.\n",
        "# 1,0 \n",
        "circuit.cx(0,1) # controlled x gate\n",
        "\n",
        "#1,1\n",
        "circuit.measure([0,1],[0,1])\n",
        "\n",
        "backend = provider.get_backend(\"ibmq_burlington\") # yukarıdan br bilgisayar seçtik işlem için\n",
        "job = q.execute(circuit, backend=backend, shots=500) #işlemimizi belirledik\n",
        "job_monitor(job)\n",
        "circuit.draw(output=\"mpl\") # matplotlib üzerine çizim"
      ],
      "execution_count": 50,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Job Status: job has successfully run\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "image/png": 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fdKLwCy+8QFFREZWVlZSWllJUVKSSc5L748HPSR+e+Yvertkcdifr16/nt7/9bas5qHC1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\n",
            "text/plain": [
              "<Figure size 397.32x204.68 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 50
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BnM-X6SihDYG",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 331
        },
        "outputId": "653f3254-254c-4bd8-924b-cfae6bde2182"
      },
      "source": [
        "result = job.result()\n",
        "counts = result.get_counts(circuit)\n",
        "\n",
        "plot_histogram([counts]) "
      ],
      "execution_count": 51,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/png": 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EaAIAYBOhCQCATYQmAAA2EZoAANhEaAIAYBOhCQCATYQmAAA2EZoAANhEaAIA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\nAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 504x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 51
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AR-7EbH9isS0",
        "colab_type": "text"
      },
      "source": [
        "# **Yerel simulatör içinde kullanma**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "L8jJd6uHirn8",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 68
        },
        "outputId": "84466678-4aa2-4aca-fd45-8ad3d8dbc5b7"
      },
      "source": [
        "from qiskit import Aer # simulator  framework for qiskit\n",
        "\n",
        "sim_backend = Aer.get_backend(\"qasm_simulator\")\n",
        "\n",
        "\n",
        "#içindeki diğer backend makinelere bakalım\n",
        "for backend in Aer.backends():\n",
        "    print(backend)\n",
        "\n",
        "# qasm_simulator\n",
        "# statevector_simulator\n",
        "# unitary_simulator"
      ],
      "execution_count": 55,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "qasm_simulator\n",
            "statevector_simulator\n",
            "unitary_simulator\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}