def test_cross_entropy_result_purity_model_fails_with_no_data():
data = [
CrossEntropyPair(num_cycle=2, xeb_fidelity=0.9),
CrossEntropyPair(num_cycle=4, xeb_fidelity=0.8),
]
result = CrossEntropyResult(data=data, repetitions=1000)
with pytest.raises(ValueError):
_ = result.purity_depolarizing_model()
def test_cross_entropy_result_purity_model_fails_with_no_data():
with cirq.testing.assert_deprecated(_DEPRECATION_MESSAGE,
deadline='v0.16'):
data = [
CrossEntropyPair(num_cycle=2, xeb_fidelity=0.9),
CrossEntropyPair(num_cycle=4, xeb_fidelity=0.8),
]
result = CrossEntropyResult(data=data, repetitions=1000)
with pytest.raises(ValueError):
_ = result.purity_depolarizing_model()
def test_cross_entropy_result_repr():
result1 = CrossEntropyResult(
data=[CrossEntropyPair(2, 0.9), CrossEntropyPair(5, 0.5)], repetitions=1000
)
result2 = CrossEntropyResult(
data=[CrossEntropyPair(2, 0.9), CrossEntropyPair(5, 0.5)],
repetitions=1000,
purity_data=[SpecklePurityPair(2, 0.8), SpecklePurityPair(5, 0.3)],
)
cirq.testing.assert_equivalent_repr(result1)
cirq.testing.assert_equivalent_repr(result2)
def test_cross_entropy_result_depolarizing_model():
prng = np.random.RandomState(59566)
S = 0.8
p = 0.99
data = [
CrossEntropyPair(num_cycle=d,
xeb_fidelity=S * p**d + prng.normal(scale=0.01))
for d in range(10, 411, 20)
]
result = CrossEntropyResult(data=data, repetitions=1000)
model = result.depolarizing_model()
np.testing.assert_allclose(model.spam_depolarization, S, atol=1e-2)
np.testing.assert_allclose(model.cycle_depolarization, p, atol=1e-2)
def test_cross_entropy_result_dict_repr():
pair = tuple(cirq.LineQubit.range(2))
result = CrossEntropyResult(
data=[CrossEntropyPair(2, 0.9), CrossEntropyPair(5, 0.5)], repetitions=1000
)
result_dict = CrossEntropyResultDict(results={pair: result})
cirq.testing.assert_equivalent_repr(result_dict)
def test_cross_entropy_result_repr():
with cirq.testing.assert_deprecated(_DEPRECATION_MESSAGE,
deadline='v0.16'):
result1 = CrossEntropyResult(
data=[CrossEntropyPair(2, 0.9),
CrossEntropyPair(5, 0.5)],
repetitions=1000)
with cirq.testing.assert_deprecated(_DEPRECATION_MESSAGE,
deadline='v0.16'):
result2 = CrossEntropyResult(
data=[CrossEntropyPair(2, 0.9),
CrossEntropyPair(5, 0.5)],
repetitions=1000,
purity_data=[SpecklePurityPair(2, 0.8),
SpecklePurityPair(5, 0.3)],
)
with cirq.testing.assert_deprecated(_DEPRECATION_MESSAGE,
deadline='v0.16',
count=6):
cirq.testing.assert_equivalent_repr(result1)
cirq.testing.assert_equivalent_repr(result2)
def test_cross_entropy_result_dict_repr():
pair = tuple(cirq.LineQubit.range(2))
with cirq.testing.assert_deprecated(_DEPRECATION_MESSAGE,
deadline='v0.16'):
result = CrossEntropyResult(
data=[CrossEntropyPair(2, 0.9),
CrossEntropyPair(5, 0.5)],
repetitions=1000)
with cirq.testing.assert_deprecated(_DEPRECATION_MESSAGE,
deadline='v0.16'):
result_dict = CrossEntropyResultDict(results={pair: result})
with cirq.testing.assert_deprecated(_DEPRECATION_MESSAGE,
deadline='v0.16',
count=6):
cirq.testing.assert_equivalent_repr(result_dict)
def test_cross_entropy_result_depolarizing_models():
with cirq.testing.assert_deprecated(_DEPRECATION_MESSAGE,
deadline='v0.16'):
prng = np.random.RandomState(59566)
S = 0.8
p = 0.99
data = [
CrossEntropyPair(num_cycle=d,
xeb_fidelity=S * p**d + prng.normal(scale=0.01))
for d in range(10, 211, 20)
]
purity_data = [
SpecklePurityPair(num_cycle=d,
purity=S * p**(2 * d) + prng.normal(scale=0.01))
for d in range(10, 211, 20)
]
result = CrossEntropyResult(data=data,
repetitions=1000,
purity_data=purity_data)
model = result.depolarizing_model()
purity_model = result.purity_depolarizing_model()
np.testing.assert_allclose(model.spam_depolarization, S, atol=1e-2)
np.testing.assert_allclose(model.cycle_depolarization, p, atol=1e-2)
np.testing.assert_allclose(purity_model.purity, p**2, atol=1e-2)
def test_cross_entropy_result_repr():
result = CrossEntropyResult(
data=[CrossEntropyPair(2, 0.9),
CrossEntropyPair(5, 0.5)],
repetitions=1000)
cirq.testing.assert_equivalent_repr(result)