def test_invalid_data_pauli_sum():
qubit_count = 1
ascii_symbols = ["foo"]
probX = 0.1
probY = 0.1
probZ = 0.9
PauliNoise(probX, probY, probZ, qubit_count, ascii_symbols)
def pauli_noise():
return PauliNoise(probX=0.1,
probY=0.2,
probZ=0.3,
qubit_count=1,
ascii_symbols=["foo"])
def test_invalid_data_type_pauli_probZ(probZ):
qubit_count = 1
ascii_symbols = ["foo"]
probX = 0.1
probY = 0.1
PauliNoise(probX, probY, probZ, qubit_count, ascii_symbols)
SingleProbabilisticNoise(0.1, 1, ["foo"]),
"SingleProbabilisticNoise(0.1)",
"SingleProbabilisticNoise('probability': 0.1, 'qubit_count': 1)",
),
(
DampingNoise(0.1, 1, ["foo"]),
"DampingNoise(0.1)",
"DampingNoise('gamma': 0.1, 'qubit_count': 1)",
),
(
GeneralizedAmplitudeDampingNoise(0.1, 0.2, 1, ["foo"]),
"GeneralizedAmplitudeDampingNoise(0.1, 0.2)",
"GeneralizedAmplitudeDampingNoise('gamma': 0.1, 'probability': 0.2, 'qubit_count': 1)",
),
(
PauliNoise(0.1, 0.2, 0.3, 1, ["foo"]),
"PauliNoise(0.1, 0.2, 0.3)",
"PauliNoise('probX': 0.1, 'probY': 0.2, 'probZ': 0.3, 'qubit_count': 1)",
),
(
MultiQubitPauliNoise({"X": 0.2}, 1, ["foo"]),
"MultiQubitPauliNoise({'X': 0.2})",
"MultiQubitPauliNoise('probabilities' : {'X': 0.2}, 'qubit_count': 1)",
),
],
)
def test_noise_str_repr(noise, expected_string, expected_repr):
assert str(noise) == expected_string
assert repr(noise) == expected_repr