2 papers
cs.LG2026
Out-of-distribution Neural Inference in Dynamical Ising Models
Yuan-Bin Zhu, Shuang Qiao, Shi-Ju Ran
Neural networks are increasingly used to infer hidden physical structure from dynamical observations, yet it remains unclear whether their out-of-distribution performance reflects…
quant-ph2025
Tensor-network variational diagonalization of quantum many-body spectra
Peng-Fei Zhou, Shuang Qiao, An-Chun Ji +1
Complete many-body spectra encode thermodynamics, dynamical response, and quantum chaos, yet their exponential size places them beyond enumeration. We introduce tensor-network vari…