Enhancing Quantum Machine Learning: The Power of Non-Linear Optical Reproducing Kernels

This study focuses on the quantum kernel method within quantum machine learning, highlighting its compatibility with noisy intermediate-scale quantum (NISQ) devices. It introduces a novel feature space constructed using Kerr coherent states, which generalize su(2), su(1,1) coherent states, and squeezed states. Findings indicate robust performance across various datasets.