5 papers
Topological invariant of periodic many body wavefunction from charge pumping simulation
Haoxiang Chen, Yubing Qian, Weiluo Ren +2
Many-body topological quantum states host exotic quantum phenomena and lie at the forefront of developing next-generation quantum technologies. Recently emerged neural network wave…
Deep-Learning-Empowered Programmable Topolectrical Circuits
Hao Jia, Shanglin Yang, Jiajun He +9
Topolectrical circuits provide a versatile platform for exploring and simulating modern physical models. However, existing approaches suffer from incomplete programmability and ine…
Examining density wave correlations in high pressure through variational Monte Carlo
Yanxin Chen, Haoxiang Chen, Tonghuan Jiang +1
, a nickelate compound with a reported superconducting transition temperature of , has attracted significant attention in recent years. Density-wave phen…
Deep Learning Sheds Light on Integer and Fractional Topological Insulators
Xiang Li, Yixiao Chen, Bohao Li +4
Electronic topological phases of matter, characterized by robust boundary states derived from topologically nontrivial bulk states, are pivotal for next-generation electronic devic…
Probing quantum critical phase from neural network wavefunction
Haoxiang Chen, Weiluo Ren, Xiang Li +1
One-dimensional (1D) systems and models provide a versatile platform for emergent phenomena induced by strong electron correlation. In this work, we extend the newly developed real…