def test_get_samples_inputs(self):
"""Test that get_samples only accepts inputs it should."""
circuit_execution_ops.get_sampling_op()
circuit_execution_ops.get_sampling_op(backend=cirq.Simulator())
circuit_execution_ops.get_sampling_op(
backend=cirq.DensityMatrixSimulator())
mock_engine = mock.Mock()
circuit_execution_ops.get_sampling_op(
backend=cirq.google.QuantumEngineSampler(engine=mock_engine,
processor_id='test',
gate_set=cirq.google.XMON))
with self.assertRaisesRegex(TypeError,
expected_regex="Expected a Cirq.Sampler"):
circuit_execution_ops.get_sampling_op(backend="junk")
def __init__(self, backend='noiseless', **kwargs):
"""Instantiate this Layer.
Create a layer that will output bitstring samples taken from either a
simulated quantum state or a real quantum computer
Args:
backend: Optional Backend to use to simulate this state. Defaults
to the noiseless simulator. Options are {'noisy', 'noiseless'},
however users may also specify a preconfigured cirq execution
object to use instead, which must inherit `cirq.Sampler`.
"""
super().__init__(**kwargs)
used_op = None
if backend == 'noiseless':
used_op = circuit_execution_ops.get_sampling_op(None)
elif backend == 'noisy':
used_op = noisy_samples_op.samples
else:
used_op = circuit_execution_ops.get_sampling_op(backend)
self.sample_op = used_op
def __init__(self, backend=None, **kwargs):
"""Instantiate this Layer.
Create a layer that will output bitstring samples taken from either a
simulated quantum state or a real quantum computer
Args:
backend: Optional Backend to use to simulate this state. Defaults
to the native Tensorflow simulator (None), however users may
also specify a preconfigured cirq execution object to use
instead, which must inherit `cirq.Sampler`.
"""
super().__init__(**kwargs)
self.sample_op = circuit_execution_ops.get_sampling_op(backend)
# Number of random circuits to use in a test batch.
BATCH_SIZE = 15
# These get used everywhere
WF_SIM = cirq.sim.sparse_simulator.Simulator()
DM_SIM = cirq.sim.density_matrix_simulator.DensityMatrixSimulator()
EXPECTATION_OPS = [
circuit_execution_ops.get_expectation_op(backend=None),
circuit_execution_ops.get_expectation_op(backend=WF_SIM),
circuit_execution_ops.get_expectation_op(backend=DM_SIM)
]
SAMPLING_OPS = [
circuit_execution_ops.get_sampling_op(backend=None),
circuit_execution_ops.get_sampling_op(backend=WF_SIM),
circuit_execution_ops.get_sampling_op(backend=DM_SIM)
]
STATE_OPS = [
circuit_execution_ops.get_state_op(backend=None),
circuit_execution_ops.get_state_op(backend=WF_SIM),
circuit_execution_ops.get_state_op(backend=DM_SIM)
]
SAMPLED_EXPECTATION_OPS = [
circuit_execution_ops.get_sampled_expectation_op(backend=None),
circuit_execution_ops.get_sampled_expectation_op(backend=WF_SIM),
circuit_execution_ops.get_sampled_expectation_op(backend=DM_SIM)
]
DM_SIM = cirq.sim.density_matrix_simulator.DensityMatrixSimulator()
EXPECTATION_OPS = [
circuit_execution_ops.get_expectation_op(backend=None,
quantum_concurrent=True),
circuit_execution_ops.get_expectation_op(backend=WF_SIM,
quantum_concurrent=True),
circuit_execution_ops.get_expectation_op(backend=DM_SIM,
quantum_concurrent=True),
# For timing interests C++ backend is tested in quantum_concurrent mode.
circuit_execution_ops.get_expectation_op(backend=None,
quantum_concurrent=False)
]
SAMPLING_OPS = [
circuit_execution_ops.get_sampling_op(backend=None,
quantum_concurrent=True),
circuit_execution_ops.get_sampling_op(backend=WF_SIM,
quantum_concurrent=True),
circuit_execution_ops.get_sampling_op(backend=DM_SIM,
quantum_concurrent=True),
# For timing interests C++ backend is tested in quantum_concurrent mode.
circuit_execution_ops.get_sampling_op(backend=None,
quantum_concurrent=False)
]
STATE_OPS = [
circuit_execution_ops.get_state_op(backend=None, quantum_concurrent=True),
circuit_execution_ops.get_state_op(backend=WF_SIM, quantum_concurrent=True),
circuit_execution_ops.get_state_op(backend=DM_SIM, quantum_concurrent=True),
# For timing interests C++ backend is tested in quantum_concurrent mode.
circuit_execution_ops.get_state_op(backend=None, quantum_concurrent=False)
