def get_job_results(self, job_resource_name: str) -> List[TrialResult]:
"""Returns the actual results (not metadata) of a completed job.
Params:
job_resource_name: A string of the form
`projects/project_id/programs/program_id/jobs/job_id`.
Returns:
An iterable over the TrialResult, one per parameter in the
parameter sweep.
"""
response = self.service.projects().programs().jobs().getResult(
parent=job_resource_name).execute()
trial_results = []
for sweep_result in response['result']['sweepResults']:
sweep_repetitions = sweep_result['repetitions']
key_sizes = [(m['key'], len(m['qubits']))
for m in sweep_result['measurementKeys']]
for result in sweep_result['parameterizedResults']:
data = base64.standard_b64decode(result['measurementResults'])
measurements = unpack_results(data, sweep_repetitions,
key_sizes)
trial_results.append(TrialResult(
params=ParamResolver(
result.get('params', {}).get('assignments', {})),
repetitions=sweep_repetitions,
measurements=measurements))
return trial_results
def test_unpack_results():
data = make_bytes("""
000 00
001 01
010 10
011 11
100 00
101 01
110 10
""")
assert len(data) == 5 # 35 data bits + 5 padding bits
results = programs.unpack_results(data, 7, [('a', 3), ('b', 2)])
assert 'a' in results
assert results['a'].shape == (7, 3)
np.testing.assert_array_equal(
results['a'],
[[0, 0, 0],
[0, 0, 1],
[0, 1, 0],
[0, 1, 1],
[1, 0, 0],
[1, 0, 1],
[1, 1, 0],])
assert 'b' in results
assert results['b'].shape == (7, 2)
np.testing.assert_array_equal(
results['b'],
[[0, 0],
[0, 1],
[1, 0],
[1, 1],
[0, 0],
[0, 1],
[1, 0],])
def _get_job_results_v1(self, result: Dict[str, Any]) -> List[TrialResult]:
trial_results = []
for sweep_result in result['sweepResults']:
sweep_repetitions = sweep_result['repetitions']
key_sizes = [(m['key'], len(m['qubits']))
for m in sweep_result['measurementKeys']]
for result in sweep_result['parameterizedResults']:
data = base64.standard_b64decode(result['measurementResults'])
measurements = unpack_results(data, sweep_repetitions,
key_sizes)
trial_results.append(
TrialResult.from_single_parameter_set(
params=ParamResolver(
result.get('params', {}).get('assignments', {})),
measurements=measurements))
return trial_results
def test_unpack_results():
data = make_bytes("""
000 00
001 01
010 10
011 11
100 00
101 01
110 10
""")
assert len(data) == 5 # 35 data bits + 5 padding bits
results = programs.unpack_results(data, 7, [('a', 3), ('b', 2)])
assert 'a' in results
assert results['a'].shape == (7, 3)
assert results['a'].dtype == bool
np.testing.assert_array_equal(
results['a'],
[[0, 0, 0],
[0, 0, 1],
[0, 1, 0],
[0, 1, 1],
[1, 0, 0],
[1, 0, 1],
[1, 1, 0],])
assert 'b' in results
assert results['b'].shape == (7, 2)
assert results['b'].dtype == bool
np.testing.assert_array_equal(
results['b'],
[[0, 0],
[0, 1],
[1, 0],
[1, 1],
[0, 0],
[0, 1],
[1, 0],])