Module kernel 

Quantum kernels for quantum machine learning.

• quantum_kernel — the global overlap (fidelity) kernel k(x,y)=|⟨ψ(x)|ψ(y)⟩|².
• projected — projected quantum kernels (PQK) over single-qubit reduced observables, avoiding the exponential concentration of the fidelity kernel.
• trainable — trainable quantum embedding kernels optimized by kernel-target alignment.

Re-exports

pub use projected::PqkEmbedding;

pub use projected::ProjectedKernelConfig;

pub use projected::local_pauli_features;

pub use projected::projected_kernel;

pub use projected::projected_kernel_matrix;

pub use trainable::TrainableKernel;

pub use trainable::TrainableKernelConfig;

Modules

projected

Projected quantum kernels (PQK) beyond global overlap fidelity.

quantum_kernel

trainable

Trainable quantum (embedding) kernels optimized by gradient ascent.