Module kernels 

Quantum kernel methods for support vector machines and kernel PCA.

Computes quantum kernel matrices by estimating the overlap ⟨φ(x)|φ(x′)⟩ between feature-map states encoded by parameterised quantum circuits, enabling quantum-enhanced SVMs and kernel regression.

Structs

LinearKernel

Linear kernel for classical machine learning

PolynomialKernel

Polynomial kernel for classical machine learning

QuantumKernel

Quantum kernel for quantum machine learning

RBFKernel

Radial basis function (RBF) kernel for classical machine learning

Enums

KernelMethod

Kernel method for quantum machine learning

Traits

KernelFunction

Kernel function for machine learning