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cond-mat.stat-mech2026
Branch-and-Bound Tensor Networks for Exact Ground-State Characterization
Yijia Wang, Xuanzhao Gao, Pan Zhang +2
Characterizing the ground-state properties of disordered systems, such as spin glasses and combinatorial optimization problems, is fundamental to science and engineering. However,…
cond-mat.stat-mech2025
Integrating Neural Networks and Tensor Networks for Computing Free Energy
Hanyan Cao, Yijia Wang, Feng Pan +1
Computing free energy is a fundamental problem in statistical physics. Recently, two distinct methods have been developed and have demonstrated remarkable success: the tensor-netwo…
cond-mat.stat-mech2023★ 6 cited
Tensor Network Message Passing
Yijia Wang, Yuwen Ebony Zhang, Feng Pan +1
When studying interacting systems, computing their statistical properties is a fundamental problem in various fields such as physics, applied mathematics, and machine learning. How…