arXiv (OAI Expanded)
open access
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 increas
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