Jin-Yi Liu

A train--prune--readout--rewrite workflow for interpretable quantum learning

AI for Science aims not only to predict complex physical systems from data, but also to extract mathematical structure and physically testable representations from learned models. Here, a train--prune--readout--rewrite workflow is developed that separates physical-domain grounding from three increasingly stringent anal...