A Versatile Variational Quantum Kernel Framework for Non-Trivial Classification

Jiang Yuhan, Matthew Otten

Quantum kernel methods are a promising branch of quantum machine learning, yet their effectiveness on diverse, high-dimensional, real-world data remains unverified. Current researc…