paddle_quantum.loss.distance

The source file of the class for the distance.

class paddle_quantum.loss.distance.TraceDistance(target_state)

The class of the loss function to compute the trace distance.

This interface can make you using the trace distance as the loss function.

Parameters:: target_state (State) – The target state to be used to compute the trace distance.

forward(state)

Compute the trace distance between the input state and the target state.

The value computed by this function can be used as a loss function to optimize.

Parameters:: state (State) – The input state which will be used to compute the trace distance with the target state.
Raises:: NotImplementedError – The backend is wrong or not supported.
Returns:: The trace distance between the input state and the target state.
Return type:: Tensor

class paddle_quantum.loss.distance.StateFidelity(target_state)

The class of the loss function to compute the state fidelity.

This interface can make you using the state fidelity as the loss function.

Parameters:: target_state (State) – The target state to be used to compute the state fidelity.

forward(state)

Compute the state fidelity between the input state and the target state.

The value computed by this function can be used as a loss function to optimize.

Parameters:: state (State) – The input state which will be used to compute the state fidelity with the target state.
Raises:: NotImplementedError – The backend is wrong or not supported.
Returns:: The state fidelity between the input state and the target state.
Return type:: Tensor