activity
20222026
most citedEfficient and quantum-adaptive machine learning with fermion neural networks

6 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.quant-gas2026

Efimovian Phonon Production for an Analog Coasting Universe in Bose-Einstein Condensates

Yunfei Xue, Jiabin Wang, Li Chen +2

Efimov effects arise from scale invariance, a fundamental symmetry with universal implications. While spatial Efimov physics has been extensively studied, realizing its temporal co…

quant-ph2024

1D Spontaneous Symmetry Breaking in thermal equilibrium via Non-Hermitian Construction

Jia-Bao Wang, Zi-Hao Dong, Yi Zhang

Spontaneous symmetry breaking generally circumvents one-dimensional systems with local interactions in thermal equilibrium. Here, we analyze a category of one-dimensional Hermitian…

cond-mat.mtrl-sci2023

Non-Abelian Topological Phases and Their Quotient Relations in Acoustic Systems

Xiao-Chen Sun, Jia-Bao Wang, Cheng He +1

Non-Abelian topological phases (NATPs) are highly sought-after candidate states for quantum computing and communication while lacking straightforward configuration and manipulation…

quant-ph2022★ 6 cited

Efficient and quantum-adaptive machine learning with fermion neural networks

Pei-Lin Zheng, Jia-Bao Wang, Yi Zhang

Classical artificial neural networks have witnessed widespread successes in machine-learning applications. Here, we propose fermion neural networks (FNNs) whose physical properties…

cond-mat.str-el2022★ 2 cited

Single-shot quantum measurements sketch quantum many-body states

Jia-Bao Wang, Yi Zhang

Quantum measurements are our eyes to the quantum systems consisting of a multitude of microscopic degrees of freedom. However, the intrinsic uncertainty of quantum measurements and…