Hello_Quantum_World.ipynb

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  "metadata": {
    "colab": {
      "name": "Hello Quantum World.ipynb",
      "version": "0.3.2",
      "views": {},
      "default_view": {},
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
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  "cells": [
    {
      "metadata": {
        "id": "DJxj6eukJi5K",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "# Hello Quantum World !!!\n",
        "This notebook covers the basic implementation of superposition and entanglement on real quantum chipset. "
      ]
    },
    {
      "metadata": {
        "id": "0siF0EYmIII3",
        "colab_type": "code",
        "colab": {
          "autoexec": {
            "startup": false,
            "wait_interval": 0
          },
          "base_uri": "https://localhost:8080/",
          "height": 938
        },
        "outputId": "8cc303ed-e755-4f1e-f4ad-fc3734af1c4f",
        "executionInfo": {
          "status": "ok",
          "timestamp": 1531062979152,
          "user_tz": -330,
          "elapsed": 12059,
          "user": {
            "displayName": "RAHUL KUMAR",
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            "userId": "113791344848346830729"
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      "cell_type": "code",
      "source": [
        "!pip install qiskit"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting qiskit\n",
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            "  Downloading https://files.pythonhosted.org/packages/28/af/4c124072bff16ab0c4aa4a5c932b547238a8de4b62b4bd7d4f3e620b665a/IBMQuantumExperience-1.9.8-py3-none-any.whl\n",
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            "  Downloading https://files.pythonhosted.org/packages/03/4b/8b9a1afde8072c4d5710d9fa91433d504325821b038e00237dc8d6d833dc/requests_ntlm-1.1.0-py2.py3-none-any.whl\n",
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            "\u001b[?25hBuilding wheels for collected packages: pycparser\n",
            "  Running setup.py bdist_wheel for pycparser ... \u001b[?25l-\b \b\\\b \bdone\n",
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            "Installing collected packages: pillow, ply, ntlm-auth, pycparser, cffi, asn1crypto, cryptography, requests-ntlm, IBMQuantumExperience, qiskit\n",
            "  Found existing installation: Pillow 4.0.0\n"
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          "text": [
            "    Uninstalling Pillow-4.0.0:\n",
            "      Successfully uninstalled Pillow-4.0.0\n",
            "Successfully installed IBMQuantumExperience-1.9.8 asn1crypto-0.24.0 cffi-1.11.5 cryptography-2.2.2 ntlm-auth-1.2.0 pillow-5.2.0 ply-3.11 pycparser-2.18 qiskit-0.5.6 requests-ntlm-1.1.0\n"
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    },
    {
      "metadata": {
        "id": "FRoE1d_QIxEE",
        "colab_type": "code",
        "colab": {
          "autoexec": {
            "startup": false,
            "wait_interval": 0
          }
        }
      },
      "cell_type": "code",
      "source": [
        "from qiskit import QuantumProgram"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "i1SG401OI-96",
        "colab_type": "code",
        "colab": {
          "autoexec": {
            "startup": false,
            "wait_interval": 0
          }
        }
      },
      "cell_type": "code",
      "source": [
        "# Create a QuantumProgram object instance.\n",
        "\n",
        "qp = QuantumProgram()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "7g6aIZ2hJGx7",
        "colab_type": "code",
        "colab": {
          "autoexec": {
            "startup": false,
            "wait_interval": 0
          }
        }
      },
      "cell_type": "code",
      "source": [
        "# Create a Quantum Register called \"qr\" with 2 qubits.\n",
        "qr = qp.create_quantum_register('qr',2)\n",
        "\n",
        "# Create a Classical Register called \"cr\" with 2 bits.\n",
        "cr = qp.create_classical_register('cr',2)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "CYjYTrCCJhom",
        "colab_type": "code",
        "colab": {
          "autoexec": {
            "startup": false,
            "wait_interval": 0
          }
        }
      },
      "cell_type": "code",
      "source": [
        "# Create a Quantum Circuit called \"qc\" involving qr and cr.\n",
        "\n",
        "qc = qp.create_circuit('HelloWorldCircuit', [qr],[cr])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "UcLCGV_mJrUl",
        "colab_type": "code",
        "colab": {
          "autoexec": {
            "startup": false,
            "wait_interval": 0
          },
          "base_uri": "https://localhost:8080/",
          "height": 71
        },
        "outputId": "721e5003-26c5-4efb-be5f-8951d80a6e2e",
        "executionInfo": {
          "status": "ok",
          "timestamp": 1531062985604,
          "user_tz": -330,
          "elapsed": 1606,
          "user": {
            "displayName": "RAHUL KUMAR",
            "photoUrl": "//lh5.googleusercontent.com/-Tsfm_ry7qgQ/AAAAAAAAAAI/AAAAAAAAIZs/NIipKd39rF4/s50-c-k-no/photo.jpg",
            "userId": "113791344848346830729"
          }
        }
      },
      "cell_type": "code",
      "source": [
        "# Setup connection with real Quantum chip\n",
        "\n",
        "backend = 'ibmqx5'\n",
        "\n",
        "#Get you token from https://quantumexperience.ng.bluemix.net/qx/account/advanced\n",
        "\n",
        "token = 'a7dbfb3cfc1252c4a7555020c32808cff17102a467c595801371f7b7f1f7c3a3355d565469aa4a37564df269f3710f33d7d13ba3c900ca947c1513598b64c5e7'\n",
        "\n",
        "qp.set_api(token,url='https://quantumexperience.ng.bluemix.net/api')\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/qiskit/_quantumprogram.py:661: DeprecationWarning: set_api() will be deprecated in upcoming versions (>0.5.0). Using qiskit.register() instead is recommended.\n",
            "  \"Using qiskit.register() instead is recommended.\", DeprecationWarning)\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "metadata": {
        "id": "RA3GOZ4JJ1xJ",
        "colab_type": "code",
        "colab": {
          "autoexec": {
            "startup": false,
            "wait_interval": 0
          },
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "d6dff0bb-b020-48e2-dba9-05f711058212",
        "executionInfo": {
          "status": "ok",
          "timestamp": 1531063057619,
          "user_tz": -330,
          "elapsed": 71986,
          "user": {
            "displayName": "RAHUL KUMAR",
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      },
      "cell_type": "code",
      "source": [
        "# Add the H gate in the Qubit 1, putting this qubit in superposition.\n",
        "qc.h(qr[1])\n",
        "\n",
        "# Add the CX gate on control qubit 1 and target qubit 0, putting the qubits in a Bell state i.e entanglement\n",
        "qc.cx(qr[1], qr[0])\n",
        "\n",
        "\n",
        "# Add a Measure gate to see the state.\n",
        "qc.measure(qr[0],cr[0])\n",
        "qc.measure(qr[1],cr[1])\n",
        "\n",
        "# Compile and execute the Quantum Program in the ibmqx5\n",
        "results = qp.execute(['HelloWorldCircuit'] ,backend ,timeout=2400)\n",
        "print(results.get_counts('HelloWorldCircuit'))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "{'00': 488, '01': 90, '10': 58, '11': 388}\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "1GK9VZehI0QX",
        "colab_type": "code",
        "colab": {
          "autoexec": {
            "startup": false,
            "wait_interval": 0
          },
          "base_uri": "https://localhost:8080/",
          "height": 338
        },
        "outputId": "f7870e1b-6242-4ac0-cbdb-3d2b4503de21",
        "executionInfo": {
          "status": "ok",
          "timestamp": 1531063452966,
          "user_tz": -330,
          "elapsed": 1468,
          "user": {
            "displayName": "RAHUL KUMAR",
            "photoUrl": "//lh5.googleusercontent.com/-Tsfm_ry7qgQ/AAAAAAAAAAI/AAAAAAAAIZs/NIipKd39rF4/s50-c-k-no/photo.jpg",
            "userId": "113791344848346830729"
          }
        }
      },
      "cell_type": "code",
      "source": [
        "from qiskit.tools.visualization import plot_histogram, circuit_drawer\n",
        "circuit_drawer(qc)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "WARNING: Unable to compile latex. Is `pdflatex` installed? Skipping latex circuit drawing...\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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ALEQ4A4CFCGcAsBDhDAAWIpwBwEKEMwBYiHAGAAsRzgBgIcIZACxEOAOAhQhn\nALAQ4QwAFiKcAcBChDMAWIhwBgALEc4AYCHCGQAsRDgDgIUIZwCwEOEMABYinAHAQoQzAFiIcAYA\nCxHOAGAhwhkALEQ4A4CFCGcAsBDhDAAWIpwBwEKEMwBYiHAGAAsRzgBgIcIZACxEOAOAhQhnALAQ\n4QwAFiKcAcBChDMAWIhwBgALEc4AYCHCGQAsRDgDgIUIZwCwEOEMABYinAHAQoQzAFiIcAYACxHO\nAGAhwhkALEQ4A4CFCGcAsBDhDAAWIpwBwEKEMwBYiHAGAAsRzgBgIcIZACxEOAOAhQhnALAQ4QwA\nFiKcAcBChDMAWIhwBgALEc4AYCHCGQAsRDgDgIUIZwCwEOEMABYinAHAQoQzAFiIcAYACxHOAGAh\nwhkALEQ4A4CFCGcAsND/AQEEwsSnUl7jAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7fb927f187b8>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "metadata": {
        "id": "fxJodddsfj8o",
        "colab_type": "code",
        "colab": {
          "autoexec": {
            "startup": false,
            "wait_interval": 0
          },
          "base_uri": "https://localhost:8080/",
          "height": 354
        },
        "outputId": "8e75b2cc-6a1d-41e5-c807-c1c5f6a8360a",
        "executionInfo": {
          "status": "ok",
          "timestamp": 1531069315218,
          "user_tz": -330,
          "elapsed": 1106,
          "user": {
            "displayName": "RAHUL KUMAR",
            "photoUrl": "//lh5.googleusercontent.com/-Tsfm_ry7qgQ/AAAAAAAAAAI/AAAAAAAAIZs/NIipKd39rF4/s50-c-k-no/photo.jpg",
            "userId": "113791344848346830729"
          }
        }
      },
      "cell_type": "code",
      "source": [
        "plot_histogram(results.get_counts('HelloWorldCircuit'))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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ABkyc+AqvvTaZy5cvYzKZGDt2Ag0b/nK2npaWhp+fX6ltv/LKVGbOfIt161ZRVFRMp053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\niIhBKcRFREQMSiEuIiJiUApxERERg/p/+w81wW8NjJYAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7fb9254cb6a0>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "metadata": {
        "id": "rRmmbLy5LRjv",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "# Upgraded version of the above code"
      ]
    },
    {
      "metadata": {
        "id": "Omj_HHrIGI89",
        "colab_type": "code",
        "colab": {
          "autoexec": {
            "startup": false,
            "wait_interval": 0
          },
          "base_uri": "https://localhost:8080/",
          "height": 122
        },
        "outputId": "a94f07a7-3df6-4afe-8537-7fcac1de5f7c",
        "executionInfo": {
          "status": "ok",
          "timestamp": 1530721866733,
          "user_tz": -330,
          "elapsed": 6145,
          "user": {
            "displayName": "RAHUL KUMAR",
            "photoUrl": "//lh5.googleusercontent.com/-Tsfm_ry7qgQ/AAAAAAAAAAI/AAAAAAAAIZs/NIipKd39rF4/s50-c-k-no/photo.jpg",
            "userId": "113791344848346830729"
          }
        }
      },
      "cell_type": "code",
      "source": [
        "import time\n",
        "from qiskit import ClassicalRegister, QuantumRegister\n",
        "from qiskit import QuantumCircuit,  available_backends, execute, register, get_backend\n",
        "\n",
        "# import basic plot tools\n",
        "from qiskit.tools.visualization import plot_histogram, circuit_drawer\n",
        "\n",
        "APItoken = 'a7dbfb3cfc1252c4a7555020c32808cff17102a467c595801371f7b7f1f7c3a3355d565469aa4a37564df269f3710f33d7d13ba3c900ca947c1513598b64c5e7'\n",
        "\n",
        "qx_config = {\n",
        "    \"APItoken\": APItoken,\n",
        "    \"url\":\"https://quantumexperience.ng.bluemix.net/api\"}\n",
        "\n",
        "try:\n",
        "    register(qx_config['APItoken'], qx_config['url'])\n",
        "\n",
        "    print('\\nYou have access to great power!')\n",
        "    print(available_backends({'local': False, 'simulator': False}))\n",
        "except: \n",
        "    print('Something went wrong.\\nDid you enter a correct token?')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Please input your token and hit enter: ··········\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "The backend names \"['ibmqx4', 'ibmq_qasm_simulator', 'ibmqx2', 'ibmqx5']\" of this provider are already in use. Refer to documentation for `available_backends()` and `unregister()`.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "You have access to great power!\n",
            "['ibmqx4', 'ibmqx2', 'ibmqx5']\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "UUSnpi-CHnKt",
        "colab_type": "code",
        "colab": {
          "autoexec": {
            "startup": false,
            "wait_interval": 0
          },
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "e33ed21f-78fb-45a7-be9e-ed5c5b8de19b",
        "executionInfo": {
          "status": "ok",
          "timestamp": 1530721918241,
          "user_tz": -330,
          "elapsed": 4723,
          "user": {
            "displayName": "RAHUL KUMAR",
            "photoUrl": "//lh5.googleusercontent.com/-Tsfm_ry7qgQ/AAAAAAAAAAI/AAAAAAAAIZs/NIipKd39rF4/s50-c-k-no/photo.jpg",
            "userId": "113791344848346830729"
          }
        }
      },
      "cell_type": "code",
      "source": [
        "def lowest_pending_jobs():\n",
        "    \"\"\"Returns the backend with lowest pending jobs.\"\"\"\n",
        "    list_of_backends = available_backends(\n",
        "        {'local': False, 'simulator': False})\n",
        "    device_status = [get_backend(backend).status\n",
        "                     for backend in list_of_backends]\n",
        "\n",
        "    best = min([x for x in device_status if x['operational'] is True],\n",
        "               key=lambda x: x['pending_jobs'])\n",
        "    return best['name']\n",
        "\n",
        "backend = lowest_pending_jobs()\n",
        "print(\"The best backend is \" + backend)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "The best backend is ibmqx5\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "byGzAbN9H0qt",
        "colab_type": "code",
        "colab": {
          "autoexec": {
            "startup": false,
            "wait_interval": 0
          },
          "base_uri": "https://localhost:8080/",
          "height": 1224
        },
        "outputId": "a05da967-4cd2-4b93-b550-12041f0a75cd",
        "executionInfo": {
          "status": "ok",
          "timestamp": 1530722303058,
          "user_tz": -330,
          "elapsed": 377229,
          "user": {
            "displayName": "RAHUL KUMAR",
            "photoUrl": "//lh5.googleusercontent.com/-Tsfm_ry7qgQ/AAAAAAAAAAI/AAAAAAAAIZs/NIipKd39rF4/s50-c-k-no/photo.jpg",
            "userId": "113791344848346830729"
          }
        }
      },
      "cell_type": "code",
      "source": [
        "q = QuantumRegister(2)\n",
        "c = ClassicalRegister(2)\n",
        "qc = QuantumCircuit(q, c)\n",
        "qc.h(q[0])\n",
        "qc.cx(q[0], q[1])\n",
        "qc.measure(q, c)\n",
        "job_exp = execute(qc, backend=backend, shots=1024, max_credits=3)\n",
        "\n",
        "lapse = 0\n",
        "interval = 10\n",
        "while not job_exp.done:\n",
        "    print('Status @ {} seconds'.format(interval * lapse))\n",
        "    print(job_exp.status)\n",
        "    time.sleep(interval)\n",
        "    lapse += 1\n",
        "print(job_exp.status)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Status @ 0 seconds\n",
            "{'job_id': None, 'status': <JobStatus.INITIALIZING: 'job is being initialized'>, 'status_msg': 'Job is initializing. Please, wait a moment.'}\n",
            "Status @ 10 seconds\n",
            "{'job_id': '5b3cf6872f41af00391e2468', 'status': <JobStatus.QUEUED: 'job is queued'>, 'status_msg': 'job is queued', 'queue_position': 9}\n",
            "Status @ 20 seconds\n",
            "{'job_id': '5b3cf6872f41af00391e2468', 'status': <JobStatus.QUEUED: 'job is queued'>, 'status_msg': 'job is queued', 'queue_position': 9}\n",
            "Status @ 30 seconds\n",
            "{'job_id': '5b3cf6872f41af00391e2468', 'status': <JobStatus.QUEUED: 'job is queued'>, 'status_msg': 'job is queued', 'queue_position': 9}\n",
            "Status @ 40 seconds\n",
            "{'job_id': '5b3cf6872f41af00391e2468', 'status': <JobStatus.QUEUED: 'job is queued'>, 'status_msg': 'job is queued', 'queue_position': 9}\n",
            "Status @ 50 seconds\n",
            "{'job_id': '5b3cf6872f41af00391e2468', 'status': <JobStatus.QUEUED: 'job is queued'>, 'status_msg': 'job is queued', 'queue_position': 9}\n",
            "Status @ 60 seconds\n",
            "{'job_id': '5b3cf6872f41af00391e2468', 'status': <JobStatus.QUEUED: 'job is queued'>, 'status_msg': 'job is queued', 'queue_position': 9}\n",
            "Status @ 70 seconds\n",
            "{'job_id': '5b3cf6872f41af00391e2468', 'status': <JobStatus.QUEUED: 'job is queued'>, 'status_msg': 'job is queued', 'queue_position': 9}\n",
            "Status @ 80 seconds\n",
            "{'job_id': '5b3cf6872f41af00391e2468', 'status': <JobStatus.QUEUED: 'job is queued'>, 'status_msg': 'job is queued', 'queue_position': 9}\n",
            "Status @ 90 seconds\n",
            "{'job_id': '5b3cf6872f41af00391e2468', 'status': <JobStatus.QUEUED: 'job is queued'>, 'status_msg': 'job is queued', 'queue_position': 9}\n",
            "Status @ 100 seconds\n",
            "{'job_id': '5b3cf6872f41af00391e2468', 'status': <JobStatus.QUEUED: 'job is queued'>, 'status_msg': 'job is queued', 'queue_position': 6}\n",
            "Status @ 110 seconds\n",
            "{'job_id': '5b3cf6872f41af00391e2468', 'status': <JobStatus.QUEUED: 'job is queued'>, 'status_msg': 'job is queued', 'queue_position': 6}\n",
            "Status @ 120 seconds\n",
            "{'job_id': '5b3cf6872f41af00391e2468', 'status': <JobStatus.QUEUED: 'job is queued'>, 'status_msg': 'job is queued', 'queue_position': 6}\n",
            "Status @ 130 seconds\n",
            "{'job_id': '5b3cf6872f41af00391e2468', 'status': <JobStatus.QUEUED: 'job is queued'>, 'status_msg': 'job is queued', 'queue_position': 6}\n",
            "Status @ 140 seconds\n",
            "{'job_id': '5b3cf6872f41af00391e2468', 'status': <JobStatus.QUEUED: 'job is queued'>, 'status_msg': 'job is queued', 'queue_position': 6}\n",
            "Status @ 150 seconds\n",
            "{'job_id': '5b3cf6872f41af00391e2468', 'status': <JobStatus.QUEUED: 'job is queued'>, 'status_msg': 'job is queued', 'queue_position': 6}\n",
            "Status @ 160 seconds\n",
            "{'job_id': '5b3cf6872f41af00391e2468', 'status': <JobStatus.QUEUED: 'job is queued'>, 'status_msg': 'job is queued', 'queue_position': 6}\n",
            "Status @ 170 seconds\n",
            "{'job_id': '5b3cf6872f41af00391e2468', 'status': <JobStatus.QUEUED: 'job is queued'>, 'status_msg': 'job is queued', 'queue_position': 6}\n",
            "Status @ 180 seconds\n",
            "{'job_id': '5b3cf6872f41af00391e2468', 'status': <JobStatus.QUEUED: 'job is queued'>, 'status_msg': 'job is queued', 'queue_position': 6}\n",
            "Status @ 190 seconds\n",
            "{'job_id': '5b3cf6872f41af00391e2468', 'status': <JobStatus.QUEUED: 'job is queued'>, 'status_msg': 'job is queued', 'queue_position': 6}\n",
            "Status @ 200 seconds\n",
            "{'job_id': '5b3cf6872f41af00391e2468', 'status': <JobStatus.QUEUED: 'job is queued'>, 'status_msg': 'job is queued', 'queue_position': 6}\n",
            "Status @ 210 seconds\n",
            "{'job_id': '5b3cf6872f41af00391e2468', 'status': <JobStatus.QUEUED: 'job is queued'>, 'status_msg': 'job is queued', 'queue_position': 6}\n",
            "Status @ 220 seconds\n",
            "{'job_id': '5b3cf6872f41af00391e2468', 'status': <JobStatus.QUEUED: 'job is queued'>, 'status_msg': 'job is queued', 'queue_position': 6}\n",
            "Status @ 230 seconds\n",
            "{'job_id': '5b3cf6872f41af00391e2468', 'status': <JobStatus.QUEUED: 'job is queued'>, 'status_msg': 'job is queued', 'queue_position': 6}\n",
            "Status @ 240 seconds\n",
            "{'job_id': '5b3cf6872f41af00391e2468', 'status': <JobStatus.QUEUED: 'job is queued'>, 'status_msg': 'job is queued', 'queue_position': 6}\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "Status @ 250 seconds\n",
            "{'job_id': '5b3cf6872f41af00391e2468', 'status': <JobStatus.QUEUED: 'job is queued'>, 'status_msg': 'job is queued', 'queue_position': 6}\n",
            "Status @ 260 seconds\n",
            "{'job_id': '5b3cf6872f41af00391e2468', 'status': <JobStatus.QUEUED: 'job is queued'>, 'status_msg': 'job is queued', 'queue_position': 6}\n",
            "Status @ 270 seconds\n",
            "{'job_id': '5b3cf6872f41af00391e2468', 'status': <JobStatus.QUEUED: 'job is queued'>, 'status_msg': 'job is queued', 'queue_position': 6}\n",
            "Status @ 280 seconds\n",
            "{'job_id': '5b3cf6872f41af00391e2468', 'status': <JobStatus.QUEUED: 'job is queued'>, 'status_msg': 'job is queued', 'queue_position': 6}\n",
            "Status @ 290 seconds\n",
            "{'job_id': '5b3cf6872f41af00391e2468', 'status': <JobStatus.QUEUED: 'job is queued'>, 'status_msg': 'job is queued', 'queue_position': 6}\n",
            "Status @ 300 seconds\n",
            "{'job_id': '5b3cf6872f41af00391e2468', 'status': <JobStatus.QUEUED: 'job is queued'>, 'status_msg': 'job is queued', 'queue_position': 6}\n",
            "Status @ 310 seconds\n",
            "{'job_id': '5b3cf6872f41af00391e2468', 'status': <JobStatus.QUEUED: 'job is queued'>, 'status_msg': 'job is queued', 'queue_position': 6}\n",
            "Status @ 320 seconds\n",
            "{'job_id': '5b3cf6872f41af00391e2468', 'status': <JobStatus.QUEUED: 'job is queued'>, 'status_msg': 'job is queued', 'queue_position': 6}\n",
            "Status @ 330 seconds\n",
            "{'job_id': '5b3cf6872f41af00391e2468', 'status': <JobStatus.RUNNING: 'job is actively running'>, 'status_msg': 'job is actively running'}\n",
            "Status @ 340 seconds\n",
            "{'job_id': '5b3cf6872f41af00391e2468', 'status': <JobStatus.RUNNING: 'job is actively running'>, 'status_msg': 'job is actively running'}\n",
            "{'job_id': '5b3cf6872f41af00391e2468', 'status': <JobStatus.DONE: 'job has successfully run'>, 'status_msg': 'job has successfully run'}\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "M9URdGQ7H26r",
        "colab_type": "code",
        "colab": {
          "autoexec": {
            "startup": false,
            "wait_interval": 0
          },
          "base_uri": "https://localhost:8080/",
          "height": 371
        },
        "outputId": "e1d6d69a-0532-47b3-9a1b-aa030bf3329d",
        "executionInfo": {
          "status": "ok",
          "timestamp": 1530722304612,
          "user_tz": -330,
          "elapsed": 1539,
          "user": {
            "displayName": "RAHUL KUMAR",
            "photoUrl": "//lh5.googleusercontent.com/-Tsfm_ry7qgQ/AAAAAAAAAAI/AAAAAAAAIZs/NIipKd39rF4/s50-c-k-no/photo.jpg",
            "userId": "113791344848346830729"
          }
        }
      },
      "cell_type": "code",
      "source": [
        "plot_histogram(job_exp.result().get_counts(qc))\n",
        "\n",
        "print('You have made entanglement!')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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LL9dq7NgJGjFimE6fzrJN27p1s+68M1y1a9euxDa9ytmmt5o0uV2jR49XfHycnn32KTVu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\nWrlypby8vKq7XFyD4uJi7d6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            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f44a5195cf8>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "You have made entanglement!\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "m2YMyHSSH5ZI",
        "colab_type": "code",
        "colab": {
          "autoexec": {
            "startup": false,
            "wait_interval": 0
          },
          "base_uri": "https://localhost:8080/",
          "height": 338
        },
        "outputId": "dadebf7e-2ed1-4ffd-eafe-16f3430438ee",
        "executionInfo": {
          "status": "ok",
          "timestamp": 1530722306041,
          "user_tz": -330,
          "elapsed": 1325,
          "user": {
            "displayName": "RAHUL KUMAR",
            "photoUrl": "//lh5.googleusercontent.com/-Tsfm_ry7qgQ/AAAAAAAAAAI/AAAAAAAAIZs/NIipKd39rF4/s50-c-k-no/photo.jpg",
            "userId": "113791344848346830729"
          }
        }
      },
      "cell_type": "code",
      "source": [
        "circuit_drawer(qc)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "WARNING: Unable to compile latex. Is `pdflatex` installed? Skipping latex circuit drawing...\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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wBgALEc4AYCHCGQAsRDgDgIUIZwCwEOEMABYinAHAQoQzAFiIcAYACxHOAGAh\nwhkALEQ4A4CFCGcAsBDhDAAWIpwBwEKEMwBYiHAGAAsRzgBgIcIZACxEOAOAhQhnALAQ4QwAFiKc\nAcBChDMAWIhwBgALEc4AYCHCGQAsRDgDgIUIZwCwEOEMABYinAHAQoQzAFiIcAYACxHOAGAhwhkA\nLEQ4A4CFCGcAsBDhDAAWIpwBwEKEMwBYiHAGAAsRzgBgIcIZACxEOAOAhQhnALAQ4QwAFiKcAcBC\nhDMAWIhwBgALEc4AYCHCGQAsRDgDgIUIZwCwEOEMABYinAHAQoQzAFiIcAYACxHOAGAhwhkALEQ4\nA4CFCGcAsBDhDAAWIpwBwEKEMwBYiHAGAAsRzgBgIcIZACxEOAOAhQhnALAQ4QwAFiKcAcBChDMA\nWIhwBgALEc4AYCHCGQAs9P8BcAS4m98gzEkAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<matplotlib.figure.Figure at 0x7f44a1ff9668>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "metadata": {
        "id": "idMtx4-w14gn",
        "colab_type": "code",
        "colab": {
          "autoexec": {
            "startup": false,
            "wait_interval": 0
          }
        }
      },
      "cell_type": "code",
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}