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(), )))