Operation

class torchquantum.operator.Operation(has_params: bool = False, trainable: bool = False, init_params=None, n_wires=None, wires=None, inverse=False)

Bases: Operator

_summary_

__init__(has_params: bool = False, trainable: bool = False, init_params=None, n_wires=None, wires=None, inverse=False)

_summary_

Parameters:

• has_params (bool, optional) – Whether the operations has parameters. Defaults to False.

• trainable (bool, optional) – Whether the parameters are trainable (if contains parameters). Defaults to False.

• init_params (torch.Tensor, optional) – Initial parameters. Defaults to None.

• n_wires (int, optional) – Number of qubits. Defaults to None.

• wires (Union[int, List[int]], optional) – Which qubit the operation is applied to. Defaults to None.

Methods

build_params(trainable)

Build parameters.

Parameters:

trainable (bool) – Whether the parameters are trainable.

Returns:

Built parameters.

Return type:

torch.Tensor

init_params()

Initialize the parameters.

Raises:

NotImplementedError – The init param function is not implemented.

reset_params(init_params=None)

Reset parameters.

Parameters:

init_params (torch.Tensor, optional) – Input the initialization parameters. Defaults to None.

Attributes

eigvals

“The eigenvalues of the unitary matrix of the operator.

Returns:

Eigenvalues.

Return type:

torch.Tensor

matrix

The unitary matrix of the operator.

training: bool