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quant-ph2026
Learning the closest Slater determinant
Nisarga Paul, Haimeng Zhao, David D. Dai
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…
cond-mat.quant-gas2026
Continuum Neural Momentum Eigenstate for Variationally Solving Quasiparticles
David D. Dai, Marin SoljaÄiÄ
We design the first neural quantum state for continuum particles that, for any chosen allowed momentum , is by construction an exact eigenstate of total momentum with e…
cond-mat.dis-nn2026
Essentially No Energy Barrier Between Independent Fermionic Neural Quantum State Minima
David D. Dai, Marin SoljaÄiÄ
Neural quantum states (NQS) have proven highly effective in representing quantum many-body wavefunctions, but their loss landscape remains poorly understood and debated. Here, we d…