Esempio n. 1
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def test_simulation_with_fsim_gates(x):
    """
    Is a cirq Simulation of a cirq.Circuit consisting of fSim gates
    equal to the simulation through qFlex?
    :return:
    """
    # Get configuration as a string
    final_conf = bin(x)[2:].zfill(len(qqubits))

    options = {
        'circuit': circuit_test_fsim.split('\n'),
        'ordering': ordering_2x2_test.split('\n'),
        'grid': grid_2x2_test.split('\n'),
        'final_state': final_conf
    }

    # Pybind: Get output from qFlex
    qflex_amplitude1 = qflex.simulate(options)[0][1]

    # Cirq: Get output from qFlex
    sim = qflexcirq.QFlexSimulator()
    qflex_amplitude2 = sim.compute_amplitudes(qcir, bitstrings=[final_conf])

    # Compare the amplitudes
    assert (np.abs(results_fsim.final_state[x] - qflex_amplitude1) < 1.e-6)
    # Compare the amplitudes
    assert (np.abs(results_fsim.final_state[x] - qflex_amplitude2) < 1.e-6)
Esempio n. 2
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    def compute_amplitudes_sweep(
        self,
        program: circuits.Circuit,
        bitstrings: Sequence[int],
        params: study.Sweepable,
        qubit_order: ops.QubitOrderOrList = ops.QubitOrder.DEFAULT,
    ) -> Sequence[Sequence[complex]]:

        if not isinstance(program, qcirc.QFlexCircuit):
            raise ValueError('{!r} is not a QFlexCircuit'.format(program))

        if not isinstance(program.device, qdevice.QFlexVirtualDevice):
            # The circuit was not validated against the device
            # TODO: Make it compatible? Validate, but for which grid?
            raise ValueError('{!r} is not a QFlexVirtualDevice'.format(
                program.device))

        param_resolvers = study.to_resolvers(params)

        trials_results = []
        for prs in param_resolvers:

            from cirq import protocols
            # The QFlexVirtualDevice device is "inherited" from the original program
            solved_circuit = protocols.resolve_parameters(program, prs)

            sweep_return = []
            # Not sure what these params could look like...for the moment
            for bitstring in bitstrings:

                options = {
                    'circuit_filename': solved_circuit.circuit_data,
                    'ordering_filename': solved_circuit.ordering_data,
                    'grid_filename': program.device.grid_data,
                    'final_state': bitstring
                }

                amplitudes = qflex.simulate(options)

                for amp in amplitudes:
                    amplitude = complex(amp[1])

                    # For debugging purposes commented the following
                    # state = amp[0]
                    # print(input_initial_state + " --> " + state + ": " + \
                    #       str(amplitude.real) + " " + str(amplitude.imag))

                    # the amplitude for bitstring is stored
                    sweep_return.append(amplitude)

            trials_results.append(sweep_return)

        return trials_results
Esempio n. 3
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def test_memory_limit(m):

    # Get configuration as a string
    final_conf = '0' * len(qubits)

    options = {
        'circuit': circuit_test.split('\n'),
        'ordering': ordering_test.split('\n'),
        'grid': grid_test.split('\n'),
        'final_state': final_conf,
        'memory_limit': m
    }

    # Get output from qFlex
    qflex_amplitude = qflex.simulate(options)[0][1]
Esempio n. 4
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def test_simulation_with_auto_order(x):

    # Get configuration as a string
    final_conf = bin(x)[2:].zfill(len(qubits))

    options = {
        'circuit': circuit_test.split('\n'),
        'ordering': auto_ordering,
        'grid': grid_test.split('\n'),
        'final_state': final_conf
    }

    # Get output from qFlex
    qflex_amplitude = qflex.simulate(options)[0][1]

    # Compare the amplitudes
    assert (np.abs(results.final_state[x] - qflex_amplitude) < 1.e-6)
Esempio n. 5
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def run_pybind_interface(config):
    print("\nRunning Pybind Interface\n")
    print(qflex.simulate(config))