def test_sampler(client):
client().create_program.return_value = (
'prog',
qtypes.QuantumProgram(name='projects/proj/programs/prog'),
)
client().create_job.return_value = (
'job-id',
qtypes.QuantumJob(name='projects/proj/programs/prog/jobs/job-id',
execution_status={'state': 'READY'}),
)
client().get_job.return_value = qtypes.QuantumJob(
execution_status={'state': 'SUCCESS'})
client().get_job_results.return_value = qtypes.QuantumResult(
result=_to_any(_RESULTS_V2))
processor = cg.EngineProcessor('proj', 'mysim', EngineContext())
sampler = processor.get_sampler(gate_set=cg.XMON)
results = sampler.run_sweep(
program=_CIRCUIT,
params=[cirq.ParamResolver({'a': 1}),
cirq.ParamResolver({'a': 2})])
assert len(results) == 2
for i, v in enumerate([1, 2]):
assert results[i].repetitions == 1
assert results[i].params.param_dict == {'a': v}
assert results[i].measurements == {'q': np.array([[0]], dtype='uint8')}
assert client().create_program.call_args[0][0] == 'proj'
def test_job_results(client_constructor):
grpc_client = setup_mock_(client_constructor)
result = qtypes.QuantumResult(
parent='projects/proj/programs/prog/jobs/job0')
grpc_client.get_quantum_result.return_value = result
client = EngineClient()
assert client.get_job_results('proj', 'prog', 'job0') == result
assert grpc_client.get_quantum_result.call_args[0] == (
'projects/proj/programs/prog/jobs/job0',)
def setup_run_circuit_with_result_(client, result):
client().create_program.return_value = (
'prog',
qtypes.QuantumProgram(name='projects/proj/programs/prog'),
)
client().create_job.return_value = (
'job-id',
qtypes.QuantumJob(name='projects/proj/programs/prog/jobs/job-id',
execution_status={'state': 'READY'}),
)
client().get_job.return_value = qtypes.QuantumJob(
execution_status={'state': 'SUCCESS'})
client().get_job_results.return_value = qtypes.QuantumResult(result=result)
def test_calibration_defaults(get_job_results):
qjob = qtypes.QuantumJob(execution_status=qtypes.ExecutionStatus(
state=qtypes.ExecutionStatus.State.SUCCESS))
result = v2.calibration_pb2.FocusedCalibrationResult()
result.results.add()
get_job_results.return_value = qtypes.QuantumResult(result=_to_any(result))
job = cg.EngineJob('a', 'b', 'steve', EngineContext(), _job=qjob)
data = job.calibration_results()
get_job_results.assert_called_once_with('a', 'b', 'steve')
assert len(data) == 1
assert data[0].code == v2.calibration_pb2.CALIBRATION_RESULT_UNSPECIFIED
assert data[0].error_message is None
assert data[0].token is None
assert data[0].valid_until is None
assert len(data[0].metrics) == 0
def test_run_delegation(create_job, get_results):
create_job.return_value = (
'steve',
qtypes.QuantumJob(
name='projects/a/programs/b/jobs/steve',
execution_status=qtypes.ExecutionStatus(
state=qtypes.ExecutionStatus.State.SUCCESS),
),
)
get_results.return_value = qtypes.QuantumResult(result=_to_any(
Merge(
"""sweep_results: [{
repetitions: 4,
parameterized_results: [{
params: {
assignments: {
key: 'a'
value: 1
}
},
measurement_results: {
key: 'q'
qubit_measurement_results: [{
qubit: {
id: '1_1'
}
results: '\006'
}]
}
}]
}]
""",
v2.result_pb2.Result(),
)))
program = cg.EngineProgram('a', 'b', EngineContext())
param_resolver = cirq.ParamResolver({})
results = program.run(job_id='steve',
repetitions=10,
param_resolver=param_resolver,
processor_ids=['mine'])
assert results == cirq.Result(
params=cirq.ParamResolver({'a': 1.0}),
measurements={
'q': np.array([[False], [True], [True], [False]], dtype=bool)
},
)
def test_run_calibration(client):
client().create_program.return_value = (
'prog',
qtypes.QuantumProgram(name='projects/proj/programs/prog'),
)
client().create_job.return_value = (
'job-id',
qtypes.QuantumJob(name='projects/proj/programs/prog/jobs/job-id',
execution_status={'state': 'READY'}),
)
client().get_job.return_value = qtypes.QuantumJob(
execution_status={'state': 'SUCCESS'})
client().get_job_results.return_value = qtypes.QuantumResult(
result=_CALIBRATION_RESULTS_V2)
q1 = cirq.GridQubit(2, 3)
q2 = cirq.GridQubit(2, 4)
layer1 = cg.CalibrationLayer('xeb', cirq.Circuit(cirq.CZ(q1, q2)),
{'num_layers': 42})
layer2 = cg.CalibrationLayer('readout', cirq.Circuit(cirq.measure(q1, q2)),
{'num_samples': 4242})
processor = cg.EngineProcessor('proj', 'mysim', EngineContext())
job = processor.run_calibration(gate_set=cg.FSIM_GATESET,
layers=[layer1, layer2],
job_id='job-id')
results = job.calibration_results()
assert len(results) == 2
assert results[0].code == v2.calibration_pb2.SUCCESS
assert results[0].error_message == 'First success'
assert results[0].token == 'abc123'
assert len(results[0].metrics) == 1
assert len(results[0].metrics['fidelity']) == 1
assert results[0].metrics['fidelity'][(q1, q2)] == [0.75]
assert results[1].code == v2.calibration_pb2.SUCCESS
assert results[1].error_message == 'Second success'
# assert label is correct
client().create_job.assert_called_once_with(
project_id='proj',
program_id='prog',
job_id='job-id',
processor_ids=['mysim'],
run_context=_to_any(v2.run_context_pb2.RunContext()),
description=None,
labels={'calibration': ''},
)
def test_run_batch(client):
client().create_program.return_value = (
'prog',
qtypes.QuantumProgram(name='projects/proj/programs/prog'),
)
client().create_job.return_value = (
'job-id',
qtypes.QuantumJob(name='projects/proj/programs/prog/jobs/job-id',
execution_status={'state': 'READY'}),
)
client().get_job.return_value = qtypes.QuantumJob(
execution_status={'state': 'SUCCESS'})
client().get_job_results.return_value = qtypes.QuantumResult(
result=_BATCH_RESULTS_V2)
processor = cg.EngineProcessor('a', 'p', EngineContext())
job = processor.run_batch(
gate_set=cg.XMON,
programs=[_CIRCUIT, _CIRCUIT],
job_id='job-id',
params_list=[cirq.Points('a', [1, 2]),
cirq.Points('a', [3, 4])],
)
results = job.results()
assert len(results) == 4
for i, v in enumerate([1, 2, 3, 4]):
assert results[i].repetitions == 1
assert results[i].params.param_dict == {'a': v}
assert results[i].measurements == {'q': np.array([[0]], dtype='uint8')}
client().create_program.assert_called_once()
client().create_job.assert_called_once()
run_context = v2.batch_pb2.BatchRunContext()
client().create_job.call_args[1]['run_context'].Unpack(run_context)
assert len(run_context.run_contexts) == 2
for idx, rc in enumerate(run_context.run_contexts):
sweeps = rc.parameter_sweeps
assert len(sweeps) == 1
assert sweeps[0].repetitions == 1
if idx == 0:
assert sweeps[0].sweep.single_sweep.points.points == [1.0, 2.0]
if idx == 1:
assert sweeps[0].sweep.single_sweep.points.points == [3.0, 4.0]
client().get_job.assert_called_once()
client().get_job_results.assert_called_once()
def test_run_sweep_params(client):
client().create_program.return_value = (
'prog',
qtypes.QuantumProgram(name='projects/proj/programs/prog'),
)
client().create_job.return_value = (
'job-id',
qtypes.QuantumJob(name='projects/proj/programs/prog/jobs/job-id',
execution_status={'state': 'READY'}),
)
client().get_job.return_value = qtypes.QuantumJob(
execution_status={'state': 'SUCCESS'})
client().get_job_results.return_value = qtypes.QuantumResult(
result=_to_any(_RESULTS_V2))
processor = cg.EngineProcessor('a', 'p', EngineContext())
job = processor.run_sweep(
program=_CIRCUIT,
params=[cirq.ParamResolver({'a': 1}),
cirq.ParamResolver({'a': 2})],
gate_set=cg.XMON,
)
results = job.results()
assert len(results) == 2
for i, v in enumerate([1, 2]):
assert results[i].repetitions == 1
assert results[i].params.param_dict == {'a': v}
assert results[i].measurements == {'q': np.array([[0]], dtype='uint8')}
client().create_program.assert_called_once()
client().create_job.assert_called_once()
run_context = v2.run_context_pb2.RunContext()
client().create_job.call_args[1]['run_context'].Unpack(run_context)
sweeps = run_context.parameter_sweeps
assert len(sweeps) == 2
for i, v in enumerate([1.0, 2.0]):
assert sweeps[i].repetitions == 1
assert sweeps[i].sweep.sweep_function.sweeps[
0].single_sweep.points.points == [v]
client().get_job.assert_called_once()
client().get_job_results.assert_called_once()
RESULTS = qtypes.QuantumResult(result=_to_any(
Merge(
"""
sweep_results: [{
repetitions: 4,
parameterized_results: [{
params: {
assignments: {
key: 'a'
value: 1
}
},
measurement_results: {
key: 'q'
qubit_measurement_results: [{
qubit: {
id: '1_1'
}
results: '\006'
}]
}
},{
params: {
assignments: {
key: 'a'
value: 2
}
},
measurement_results: {
key: 'q'
qubit_measurement_results: [{
qubit: {
id: '1_1'
}
results: '\005'
}]
}
}]
}]
""",
v2.result_pb2.Result(),
)))
