Exemple #1
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def qpu_compiler(test_device):
    try:
        config = PyquilConfig()
        compiler = QPUCompiler(endpoint=config.compiler_url, device=test_device, timeout=0.5)
        compiler.quil_to_native_quil(Program(I(0)))
        return compiler
    except Exception as e:
        return pytest.skip(f"This test requires compiler connection: {e}")
Exemple #2
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def compiled_parametric_graph_state(compiler: QPUCompiler,
                                    graph: nx.Graph,
                                    focal_node: int,
                                    num_shots: int = 1000):
    """
    Construct a program to create and measure a graph state, map it to qubits using ``addressing``,
    and compile to an ISA.

    Hackily implement a parameterized program by compiling a program with a particular angle,
    finding where that angle appears in the results, and replacing it with ``"{angle}"`` so
    the resulting compiled program can be run many times by using python's str.format method.

    :param graph: A networkx graph defining the graph state
    :param focal_node: The node of the graph to measure
    :param compiler: The compiler to do the compiling.
    :param num_shots: The number of shots to take when measuring the graph state.
    :return: an executable that constructs and measures a graph state.
    """
    program = create_graph_state(graph)
    measure_prog, c_addrs = measure_graph_state(graph, focal_node)
    program += measure_prog
    program.wrap_in_numshots_loop(num_shots)
    nq_program = basic_compile(program)
    executable = compiler.native_quil_to_executable(nq_program)
    return executable
Exemple #3
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def test_qpu_run():
    config = PyquilConfig()
    if config.qpu_url and config.qpu_compiler_url:
        g = nx.Graph()
        g.add_node(0)
        device = NxDevice(g)

        qc = QuantumComputer(
            name="pyQuil test QC",
            qam=QPU(endpoint=config.qpu_url, user="******"),
            device=device,
            compiler=QPUCompiler(
                quilc_endpoint=config.quilc_url,
                qpu_compiler_endpoint=config.qpu_compiler_url,
                device=device,
            ),
        )
        bitstrings = qc.run_and_measure(program=Program(X(0)), trials=1000)
        assert bitstrings[0].shape == (1000, )
        assert np.mean(bitstrings[0]) > 0.8
        bitstrings = qc.run(qc.compile(Program(X(0))))
        assert bitstrings.shape == (0, 0)
    else:
        pytest.skip(
            "QPU or compiler-server not available; skipping QPU run test.")
Exemple #4
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def mock_qpu_compiler(request, m_endpoints, compiler: QVMCompiler):
    return QPUCompiler(
        quilc_endpoint=compiler.client.endpoint,
        qpu_compiler_endpoint=m_endpoints[0],
        device=NxDevice(nx.Graph([(0, 1)])),
    )
Exemple #5
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def test_get_version_info(server, mock_compiler: QPUCompiler):
    response = mock_compiler.get_version_info()
    assert isinstance(response, dict)
    assert 'compiler_server' in response
Exemple #6
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def mock_compiler(request, m_endpoints):
    return QPUCompiler(endpoint=m_endpoints[0],
                       device=NxDevice(nx.Graph([(0, 1)])))
Exemple #7
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def gate_arithmetic_binaries(qpu_compiler: QPUCompiler):
    return [
        qpu_compiler.native_quil_to_executable(p)
        for p in GATE_ARITHMETIC_PROGRAMS
    ]