def test_to_channel_kraus(self):
"""Test to_channel for Kraus inputs."""
A0 = np.array([[1, 0], [0, np.sqrt(1 - 0.3)]], dtype=complex)
A1 = np.array([[0, 0], [0, np.sqrt(0.3)]], dtype=complex)
B0 = np.array([[1, 0], [0, np.sqrt(1 - 0.5)]], dtype=complex)
B1 = np.array([[0, 0], [0, np.sqrt(0.5)]], dtype=complex)
target = SuperOp(Kraus([A0, A1])).tensor(SuperOp(Kraus([B0, B1])))
error = QuantumError([A0, A1]).tensor(QuantumError([B0, B1]))
self.assertEqual(target, error.to_channel())
def test_to_channel_circuit(self):
"""Test to_channel for circuit inputs."""
noise_ops = [([{
'name': 'reset',
'qubits': [0]
}], 0.2), ([{
'name': 'reset',
'qubits': [1]
}], 0.3), ([{
'name': 'id',
'qubits': [0]
}], 0.5)]
error = QuantumError(noise_ops)
reset = SuperOp(
np.array([[1, 0, 0, 1], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0]]))
iden = SuperOp(np.eye(4))
target = 0.2 * iden.tensor(reset) + 0.3 * reset.tensor(
iden) + 0.5 * iden.tensor(iden)
self.assertEqual(target, error.to_channel())
