{
    "info": {
        "author": "The Blueqat Developers",
        "author_email": "kato@mdrft.com",
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        "classifiers": [
            "Development Status :: 3 - Alpha",
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        "description": ".. image:: https://raw.githubusercontent.com/Blueqat/Blueqat/master/MDR_Blueqat_color.png\n    :target: https://github.com/Blueqat/Blueqat\n    :alt: Blueqat\n\n=======\nblueqat\n=======\n\nA quantum computing SDK\n\nVersion\n=======\n.. image:: https://badge.fury.io/py/blueqat.svg\n    :target: https://badge.fury.io/py/blueqat\n\nBuild info\n==========\n.. image:: https://circleci.com/gh/Blueqat/Blueqat.svg?style=svg\n    :target: https://circleci.com/gh/Blueqat/Blueqat\n\nTutorial\n========\nhttps://github.com/Blueqat/Blueqat-tutorials\n\nInstall\n=======\n\n.. code-block:: sh\n\n    git clone https://github.com/Blueqat/Blueqat\n    cd Blueqat\n    pip3 install -e .\n\nor\n\n.. code-block:: sh\n\n    pip3 install blueqat\n\nCircuit\n=======\n\n.. code-block:: python\n\n    from blueqat import Circuit\n    import math\n\n    #number of qubit is not specified\n    c = Circuit()\n\n    #if you want to specified the number of qubit\n    c = Circuit(3) #3qubits\n\nMethod Chain\n============\n\n.. code-block:: python\n\n    # write as chain\n    Circuit().h[0].x[0].z[0]\n\n    # write in separately\n    c = Circuit().h[0]\n    c.x[0].z[0]\n\nSlice\n=====\n\n.. code-block:: python\n\n    Circuit().z[1:3] # Zgate on 1,2\n    Circuit().x[:3] # Xgate on (0, 1, 2)\n    Circuit().h[:] # Hgate on all qubits\n    Circuit().x[1, 2] # 1qubit gate with comma\n\nRotation Gate\n=============\n\n.. code-block:: python\n\n    Circuit().rz(math.pi / 4)[0]\n\nMeasurement\n===========\n\n.. code-block:: python\n\n    Circuit().m[0]\n\nRun()\n=====\n\n.. code-block:: python\n\n    Circuit().h[0].cx[0,1].run()\n\nRun(shots=n)\n============\n\n.. code-block:: python\n\n    c = Circuit().h[0].cx[0,1].m[:]\n    c.run(shots=100) # => Counter({'00': 48, '11': 52}) (random value.)\n\nHamiltonian\n===========\n\n.. code-block:: python\n\n    from blueqat.pauli import *\n\n    hamiltonian1 = (1.23 * Z[0] + 4.56 * X[1] * Z[2]) ** 2\n    hamiltonian2 = (2.46 * Y[0] + 5.55 * Z[1] * X[2] * X[1]) ** 2\n    hamiltonian = hamiltonian1 + hamiltonian2\n    print(hamiltonian)\n\nsimplify the hamiltonian\n\n.. code-block:: python\n\n    hamiltonian = hamiltonian.simplify()\n    print(hamiltonian)\n\nVQE\n===\n\n.. code-block:: python\n\n    from blueqat import vqe\n    from blueqat.pauli import qubo_bit as q\n\n    hamiltonian = -3*q(0)-3*q(1)-3*q(2)-3*q(3)-3*q(4)+2*q(0)*q(1)+2*q(0)*q(2)+2*q(0)*q(3)+2*q(0)*q(4)+2*q(1)*q(2)+2*q(1)*q(3)+2*q(1)*q(4)+2*q(2)*q(3)+2*q(2)*q(4)+2*q(3)*q(4)\n    step = 2\n\n    result = vqe.Vqe(vqe.QaoaAnsatz(hamiltonian, step)).run()\n    print(result.most_common(12))\n\nIf you want to create an ising model hamiltonian use Z(x) instead of q(x) in the equation\n\n.. code-block:: python\n\n    hamiltonian = Z(0)-3*Z(1)+2*Z(0)*Z(1)+2*Z(0)*Z(2)\n\nBlueqat to Qiskit\n=================\n\n.. code-block:: python\n\n    qiskit.register(APItoken)\n    sampler = blueqat.vqe.get_qiskit_sampler(backend=\"backend name\")\n    result = blueqat.vqe.Vqe(QaoaAnsatz(...), sampler=sampler).run(verbose=True)\n\nBlueqat to QASM\n===============\n\n.. code-block:: python\n\n    Circuit.to_qasm()\n\n    #OPENQASM 2.0;\n    #include \"qelib1.inc\";\n    #qreg q[1];\n    #creg c[1];\n    #h q[0];\n\nExample\n=======\n\n2-qubit Grover\n--------------\n\n.. code-block:: python\n\n    from blueqat import Circuit\n    c = Circuit().h[:2].cz[0,1].h[:].x[:].cz[0,1].x[:].h[:].m[:]\n    print(c.run(shots=1))\n\nMaxcut QAOA\n-----------\n\n.. code-block:: python\n\n    from blueqat import vqe, pauli\n    edges = [(0, 1), (1, 2), (2, 3), (3, 0), (1, 3), (0, 2), (4, 0), (4, 3)]\n    ansatz = vqe.QaoaAnsatz(sum([pauli.Z(i) * pauli.Z(j) for i, j in edges]), 1)\n    result = vqe.Vqe(ansatz).run()\n    print(\n    \"\"\"   {4}\n      / \\\\\n     {0}---{3}\n     | x |\n     {1}---{2}\"\"\".format(*result.most_common()[0][0]))\n\nOptimization(recommended)\n-------------------------\n\n.. code-block:: python\n\n    from blueqat.opt import Opt\n    c = Opt().add([[1,1],[1,1]]).add(\"(q0+q1)^2\")\n\n    #qaoa\n    print(c.qaoa().most_common(5))\n    #=>(((0, 0), 0.7639901896866), ((1, 0), 0.10321404014639714), ((0, 1), 0.10321404014639707), ((1, 1), 0.029581730020605202))\n\n    #annealing\n    print(c.run())\n    [0, 0]\n\n\nAnnealing-2 (old)\n-----------------\n\n.. code-block:: python\n\n    from blueqat import opt\n    a = opt.opt()\n    a.qubo = opt.sel(3,1) #creating QUBO matrix\n    result = a.sa(shots=100,sampler=\"fast\")\n    opt.counter(result)\n\n    Counter({'010': 29, '100': 34, '001': 37})\n\n\nDocument\n========\n\nhttps://blueqat.readthedocs.io/en/latest/\n\nAuthor\n======\nTakumi Kato (MDR), Yuichiro Minato (MDR), Yuma Murata (D Slit Technologies), Satoshi Takezawa (TerraSky)\n\nDisclaimer\n==========\nCopyright 2019 The Blueqat Developers.\n\n\n",
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