Observable#

class torchquantum.operator.Observable(has_params: bool = False, trainable: bool = False, init_params=None, n_wires=None, wires=None, inverse=False)[source]#

Bases: Operator

Class for Observables.

__init__(has_params: bool = False, trainable: bool = False, init_params=None, n_wires=None, wires=None, inverse=False)[source]#

Init function of the Observable class

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

diagonalizing_gates()[source]#

The diagonalizing gates when perform measurements.

Returns: None.

Attributes

training: bool#