3 papers
cond-mat.str-el2026
Disentangling Tensor Network States with Deep Neural Network
Chaohui Fan, Bo Zhan, Yuntian Gu +5
We introduce Neural Tensor Network States (TNS), a variational many-body wave-function ansatz that integrates deep neural networks with tensor-network architectures. In the T…
cond-mat.str-el2025
Solving the Hubbard model with Neural Quantum States
Yuntian Gu, Wenrui Li, Heng Lin +9
The rapid development of neural quantum states (NQS) has established it as a promising framework for studying quantum many-body systems. In this work, by leveraging the cutting-edg…
cond-mat.str-el2025
Thermodynamics of the Hubbard Model on the Bethe Lattice
Jia-Lin Chen, Zhen Fan, Bo Zhan +6
We investigate the thermodynamic properties of the Hubbard model on the Bethe lattice with a coordination number of 3 using the thermal canonical tree tensor network method. Our fi…