squlearn.kernel.loss.kernel_loss_base.KernelLossBase

class squlearn.kernel.loss.kernel_loss_base.KernelLossBase

Empty parent class for a kernel loss function.

abstract compute(quantum_kernel: KernelMatrixBase, parameter_values: array, data: ndarray, labels: ndarray) → float

Compute the target alignment loss.

Parameters:

• quantum_kernel (KernelMatrixBase) – The quantum kernel matrix to be used in the loss.

• parameter_values (np.ndarray) – The parameter values for the variational quantum kernel parameters.

• data (np.ndarray) – The training data to be used for the kernel matrix.

• labels (np.ndarray) – The training labels.

Returns:

The loss value.

Return type:

float

set_quantum_kernel(quantum_kernel: KernelMatrixBase) → None

Set the quantum kernel matrix to be used in the loss.

Parameters:

quantum_kernel (KernelMatrixBase) – The quantum kernel matrix to be used in the loss.