def test_setting_no_in():
out_ops = _generate_random_paulis(n_qubits=4, n_terms=7)
for oop in out_ops:
expt = ExperimentSetting(zeros_state(oop.get_qubits()), oop)
expt2 = ExperimentSetting.from_str(str(expt))
assert expt == expt2
assert expt2.in_operator == functools.reduce(mul, [sZ(q) for q in oop.get_qubits()], sI())
assert expt2.out_operator == oop
def test_setting_no_in_back_compat():
out_ops = _generate_random_paulis(n_qubits=4, n_terms=7)
for oop in out_ops:
expt = ExperimentSetting(TensorProductState(), oop)
expt2 = ExperimentSetting.from_str(str(expt))
assert expt == expt2
assert expt2.in_operator == sI()
assert expt2.out_operator == oop
def test_experiment_setting():
in_states = _generate_random_states(n_qubits=4, n_terms=7)
out_ops = _generate_random_paulis(n_qubits=4, n_terms=7)
for ist, oop in zip(in_states, out_ops):
expt = ExperimentSetting(ist, oop)
assert str(expt) == expt.serializable()
expt2 = ExperimentSetting.from_str(str(expt))
assert expt == expt2
assert expt2.in_state == ist
assert expt2.out_operator == oop
def _operator_object_hook(obj: Mapping[str, Any]) -> Union[Mapping[str, Any], Experiment]:
if "type" in obj and obj["type"] in ["Experiment", "TomographyExperiment"]:
# I bet this doesn't work for grouped experiment settings
settings = [[ExperimentSetting.from_str(s) for s in stt] for stt in obj["settings"]]
p = Program(obj["program"])
p.wrap_in_numshots_loop(obj["shots"])
ex = Experiment(settings=settings, program=p, symmetrization=obj["symmetrization"])
ex.reset = obj["reset"]
return ex
return obj
def _operator_object_hook(obj):
if 'type' in obj and obj['type'] == 'TomographyExperiment':
# I bet this doesn't work for grouped experiment settings
settings = [[ExperimentSetting.from_str(s) for s in stt]
for stt in obj['settings']]
p = Program(obj['program'])
p.wrap_in_numshots_loop(obj['shots'])
ex = TomographyExperiment(settings=settings,
program=p,
symmetrization=obj['symmetrization'])
ex.reset = obj['reset']
return ex
return obj