TrainableOpAll

class torchquantum.layer.TrainableOpAll(n_gate: int, op: Operation)

Bases: QuantumModule

Rotation rx on all qubits The rotation angle is a parameter of each rotation gate One potential optimization is to compute the unitary of all gates together.

__init__(n_gate: int, op: Operation)

Initialize the QuantumModule.

Returns:

None.

Examples

>>> qmodule = QuantumModule()

Methods

forward(q_device: QuantumDevice)

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

Attributes

training: bool