modules.applications.qml.generative_modeling.training.qgan.QuantumGenerator

class QuantumGenerator(n_qubits, execute_circuit, batch_size)

Bases: object

This class defines the generator of the QGAN.

__init__(n_qubits, execute_circuit, batch_size)

Methods

__init__(n_qubits, execute_circuit, batch_size)
compute_gradient(params, discriminator, ...)	This function defines the forward pass of the generator.
execute(params, n_shots)	Forward pass of the generator.

compute_gradient(params: ndarray, discriminator: Module, criterion: callable, label: Tensor, device: str) → ndarray

This function defines the forward pass of the generator.

Parameters:

• params -- Parameters of the quantum circuit

• discriminator -- Discriminator of the QGAN

• criterion -- Loss function

• label -- Label indicating of sample is true or fake

• device -- Torch device (e.g., CPU or CUDA)

Returns:

Samples and the probability distribution generated by the quantum circuit

execute(params: ndarray, n_shots: int) → tuple[Tensor, ndarray]

Forward pass of the generator.

Parameters:

• params -- Parameters of the quantum circuit

• n_shots -- Number of shots

Returns:

samples and the probability distribution generated by the quantum circuit