Author

Hai-Meng Zhao

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Preprint Sep 2026

Walshness: an intrinsic neural-network representability metric for quantum states

Neural quantum states (NQS) have emerged as powerful representations of quantum states with rapidly expanding applications across quantum many-body physics. Yet our understanding of when neural networks can efficiently represent physical quantum states remains limited, in part due to the nonlinear parameterization of N...

Nisarga Paul, Ke-Huang Chen, J. Jiang et al. · 0 citations

Preprint Jul 2026

Learning the closest Slater determinant

Learning compact, interpretable descriptions of quantum many-body states is an important task in quantum science. We study the task of learning the Slater determinant with maximum fidelity to an arbitrary fermionic many-body state, with motivation from both Hartree-Fock methods and agnostic tomography. Given an $n$-fer...

Nisarga Paul, Hai-Meng Zhao, David D. Dai · 0 citations