Numerical evidence against advantage with quantum fidelity kernels on classical data

no code implementations • 29 Nov 2022 • Lucas Slattery, Ruslan Shaydulin, Shouvanik Chakrabarti, Marco Pistoia, Sami Khairy, Stefan M. Wild

We show that the general-purpose hyperparameter tuning techniques proposed to improve the generalization of quantum kernels lead to the kernel becoming well-approximated by a classical kernel, removing the possibility of quantum advantage.

Inductive Bias Quantum Machine Learning