fidelity kernel

New quantum kernel strategy aims to prevent overfitting in machine learning

Researchers have introduced a new approach to constructing quantum kernels, aiming to overcome the challenge of overfitting and poor generalization common in existing methods. This novel strategy, inspired by classical …