6 papers
Tree tensor network impurity solver based on Cayley-tree mapping
Bo Zhan, Jia-Lin Chen, Zhen Fan +1
We introduce a tree tensor network (TTN) impurity solver that enables highly efficient and accurate real-time simulations of quantum impurity models. By decomposing a noninteractin…
Bridging Crystal Structure and Material Properties via Bond-Centric Descriptors
Jian-Feng Zhang, Ze-Feng Gao, Xiao-Qi Han +7
Although chemical bonding is the fundamental mechanistic bridge connecting atomic structure to macroscopic material properties, current data-driven materials science largely treats…
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 $ν…
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…
Superconducting phase interference effect in momentum space
Bo Zhan, Qiang Gao, Runze Chi +5
Detecting the phases of the superconducting order parameter is pivotal for unraveling the pairing symmetry of superconducting electrons. Conventional methods for probing these phas…
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…