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
Diagonalizing large-scale quantum many-body Hamiltonians using variational quantum circuit and tensor network
Peng-Fei Zhou, Shuang Qiao, An-Chun Ji +1
Exact diagonalization (ED) provides complete access to many-body eigenenergies and eigenstates, yet its exponential cost confines it to small systems. We propose tensor network var…