def test_max_weight_state_3():
states = [
plusX(0) * minusZ(1),
plusX(0),
minusZ(1),
]
assert _max_weight_state(states) == states[0]
def test_max_weight_state_4():
states = [
plusX(1) * minusZ(0),
plusX(0),
minusZ(1),
]
assert _max_weight_state(states) is None
def _expt_settings_diagonal_in_tpb(es1: ExperimentSetting, es2: ExperimentSetting):
"""
Extends the concept of being diagonal in the same tpb to ExperimentSettings, by
determining if the pairs of in_states and out_operators are separately diagonal in the same
tpb
"""
max_weight_in = _max_weight_state([es1.in_state, es2.in_state])
max_weight_out = _max_weight_operator([es1.out_operator, es2.out_operator])
return max_weight_in is not None and max_weight_out is not None
def test_expt_settings_share_ntpb():
expts = [[
ExperimentSetting(zeros_state([0, 1]),
sX(0) * sI(1)),
ExperimentSetting(zeros_state([0, 1]),
sI(0) * sX(1))
],
[
ExperimentSetting(zeros_state([0, 1]),
sZ(0) * sI(1)),
ExperimentSetting(zeros_state([0, 1]),
sI(0) * sZ(1))
]]
for group in expts:
for e1, e2 in itertools.combinations(group, 2):
assert _max_weight_state([e1.in_state, e2.in_state]) is not None
assert _max_weight_operator([e1.out_operator,
e2.out_operator]) is not None
