039.Test_qiskit_QuantumCal.ipynb

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   "source": [
    "> [qiskit](https://www.qiskit.org/)\n",
    ">\n",
    "> [qiskit1](https://mp.weixin.qq.com/s/OFb2ZA2wQZHqT1sLYdI3yQ)\n",
    ">\n",
    "```\n",
    "# pip install qiskit\n",
    "\n",
    "WARNING: Running pip install with root privileges is generally not a good idea. Try `pip3 install --user` instead.\n",
    "Collecting qiskit\n",
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    "  Downloading http://mirrors.aliyun.com/pypi/packages/e4/d7/5d16fe2b331c73317df251d2e4f090b44974a3cd6d58141741480f45656d/pyscf-1.6.4-cp36-cp36m-manylinux1_x86_64.whl (21.7MB)\n",
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    "  Downloading http://mirrors.aliyun.com/pypi/packages/54/c0/b8fb5bb727e983b6f5251433ef941b48f38c65bb0bd6ec509e9185bcd406/dlx-1.0.4.tar.gz\n",
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    "  Running setup.py install for dlx ... done\n",
    "  Running setup.py install for qiskit ... done\n",
    "Successfully installed attrs-19.3.0 cffi-1.13.1 cryptography-2.8 cvxopt-1.2.3 decorator-4.4.1 dlx-1.0.4 docloud-1.0.375 docplex-2.10.155 fastdtw-0.3.4 h5py-2.10.0 importlib-metadata-0.23 inflection-0.3.1 joblib-0.14.0 jsonschema-3.1.1 marshmallow-3.2.1 marshmallow-polyfield-5.7 more-itertools-5.0.0 mpmath-1.1.0 ndg-httpsclient-0.5.1 nest-asyncio-1.0.0 networkx-2.4 ntlm-auth-1.4.0 numpy-1.17.3 pandas-0.25.2 ply-3.11 psutil-5.6.3 pyOpenSSL-19.0.0 pycparser-2.19 pyrsistent-0.15.5 pyscf-1.6.4 qiskit-0.13.0 qiskit-aer-0.3.2 qiskit-aqua-0.6.1 qiskit-ibmq-provider-0.3.3 qiskit-ignis-0.2.0 qiskit-terra-0.10.0 quandl-3.4.8 requests-ntlm-1.1.0 scikit-learn-0.21.3 scipy-1.3.1 setuptools-41.6.0 sympy-1.4 websockets-7.0 zipp-0.6.0\n",
    "\n",
    "```"
   ]
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   "source": [
    "```\n",
    "from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit, execute\n",
    "from qiskit import Aer, IBMQ  # import the Aer and IBMQ providers\n",
    "from qiskit.providers.aer import noise  # import Aer noise models\n",
    "\n",
    "# Choose a real device to simulate\n",
    "IBMQ.load_accounts()\n",
    "device = IBMQ.get_backend('ibmq_16_melbourne')\n",
    "properties = device.properties()\n",
    "coupling_map = device.configuration().coupling_map\n",
    "\n",
    "# Generate an Aer noise model for device\n",
    "noise_model = noise.device.basic_device_noise_model(properties)\n",
    "basis_gates = noise_model.basis_gates\n",
    "\n",
    "# Generate a quantum circuit\n",
    "q = QuantumRegister(2)\n",
    "c = ClassicalRegister(2)\n",
    "qc = QuantumCircuit(q, c)\n",
    "\n",
    "qc.h(q[0])\n",
    "qc.cx(q[0], q[1])\n",
    "qc.measure(q, c)\n",
    "\n",
    "# Perform noisy simulation\n",
    "backend = Aer.get_backend('qasm_simulator')\n",
    "job_sim = execute(qc, backend,\n",
    "                  coupling_map=coupling_map,\n",
    "                  noise_model=noise_model,\n",
    "                  basis_gates=basis_gates)\n",
    "sim_result = job_sim.result()\n",
    "print(sim_result.get_counts(qc))\n",
    "\n",
    "# 可视化\n",
    "from qiskit.tools.visualization import circuit_drawer\n",
    "circuit_drawer(qft_n,filename='./qft_circuit')#可视化\n",
    "```"
   ]
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  {
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   "source": [
    "```\n",
    "# docker search qiskit\n",
    "\n",
    "INDEX       NAME                                          DESCRIPTION                                     STARS     OFFICIAL   AUTOMATED\n",
    "docker.io   docker.io/avloss/qiskit                       Jupyter Notebook to run IBMs quantum compu...   1                    [OK]\n",
    "docker.io   docker.io/claireyang/qiskit                                                                   0                    \n",
    "docker.io   docker.io/eschoute/python3-qiskit             Python3 alpine with qiskit and all its dep...   0                    [OK]\n",
    "docker.io   docker.io/eschoute/python3-qiskit-linters     Python 3 with QISKit and linters preinstalled   0                    [OK]\n",
    "docker.io   docker.io/fenz85/qiskit                                                                       0                    \n",
    "docker.io   docker.io/fenz85/qiskit_tutorial                                                              0                    \n",
    "docker.io   docker.io/helionagamachi/qiskit               Hello world, quantum version?                   0                    [OK]\n",
    "docker.io   docker.io/holzman/quantum-lite                Jupyterlab deployment for quantum computin...   0                    \n",
    "docker.io   docker.io/kjerabek/qiskit-jupyter-notebook    Runs jupyter notebook with qiskit.              0                    \n",
    "docker.io   docker.io/nsathaye/qiskit-dev                 Docker image that includes developmental v...   0                    [OK]\n",
    "docker.io   docker.io/patriklindstrom/quantum-hackathon   Based on qiskit tutorials for my own IBM q...   0                    \n",
    "docker.io   docker.io/qiskit/qiskit-acqua-tutorials       IBM Q QISKit ACQUA installation including ...   0                    \n",
    "docker.io   docker.io/qiskit/qiskit-tutorial              Jupyter notebooks for running QISKit examples   0                    \n",
    "docker.io   docker.io/tellison/qiskit-tutorial                                                            0                    \n",
    "docker.io   docker.io/younghyunoh/qiskit-bz-tutorial                                                      0                    \n",
    "docker.io   docker.io/younghyunoh/qiskit0.7-tutorials     QISKIT-Tutorial Docker image (qiskit0.7 & ...   0   \n",
    "```\n",
    "\n",
    "```\n",
    "# docker pull docker.io/avloss/qiskit\n",
    "\n",
    "Using default tag: latest\n",
    "Trying to pull repository docker.io/avloss/qiskit ... \n",
    "latest: Pulling from docker.io/avloss/qiskit\n",
    "105cbe84bc50: Pull complete \n",
    "b561d765be9a: Pull complete \n",
    "889773eb4e31: Pull complete \n",
    "55f139608518: Pull complete \n",
    "abf238ab13d9: Pull complete \n",
    "6a457b6bd024: Pull complete \n",
    "bacdc03235ee: Downloading [===>                                               ] 41.34 MB/680 MB\n",
    "30b034d524b0: Download complete \n",
    "507f991327ea: Download complete \n",
    "393a6abd8923: Download complete \n",
    "e0804389b30e: Download complete \n",
    "3d1195e3f718: Download complete \n",
    "02f0c1db213f: Download complete \n",
    "```"
   ]
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