def __init__(self, matrix: np.ndarray, display_name: str = "U"):
verify_quantum_operator_matrix_dimensions(matrix)
self._matrix = np.array(matrix, dtype=complex)
qubit_count = int(np.log2(self._matrix.shape[0]))
if not is_unitary(self._matrix):
raise ValueError(f"{self._matrix} is not unitary")
super().__init__(qubit_count=qubit_count, ascii_symbols=[display_name] * qubit_count)
def check_noise_target_unitary(noise: Noise, target_unitary: np.ndarray):
"""Helper function to check
1. whether the input matrix is a np.ndarray type;
2. whether the target_unitary is a unitary;
Args:
noise (Noise): A Noise class object to be applied to the circuit.
target_unitary (np.ndarray): matrix of the target unitary gates
"""
if not isinstance(target_unitary, np.ndarray):
raise TypeError("target_unitary must be a np.ndarray type")
if not is_unitary(target_unitary):
raise ValueError("target_unitary must be a unitary")
def test_is_unitary_exception():
is_unitary(invalid_matrix_type_error)
def test_is_unitary_false(matrix):
assert not is_unitary(matrix)
def test_is_unitary_true():
assert is_unitary(valid_unitary_hermitian_matrix)
