AINeutralarXiv – CS AI · 7h ago6/10
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Sparsified Kolmogorov-Arnold Networks for Interpretable Quantum State Tomography
Researchers demonstrate that sparsified Kolmogorov-Arnold Networks (KANs) can perform quantum state tomography while remaining interpretable, recovering physical structure without superior performance. The method identifies relevant Pauli measurements from 63 total measurements and reveals internal pathways consistent with known quantum mechanics, validating that neural models can be audited against established physics.