Symmetry Discovery in Quantum Learning: Observable-Level and Task-Level Inference from Finite Measurements
The work develops a finite-measurement theory to infer symmetry groups from quantum learning models. It shows how observable invisibility relates to stabilizer subgroups and task validation links to joint distribution invariance, providing a statistical basis for deciding which physical transformations are relevant for model release.