activity
20242026
most citedGenerative Decoding for Quantum Error-correcting Codes

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

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…

quant-ph20251 cited

Generative Decoding for Quantum Error-correcting Codes

Hanyan Cao, Feng Pan, Dongyang Feng +2

Efficient and accurate decoding of quantum error-correcting codes is essential for fault-tolerant quantum computation, however, it is challenging due to the degeneracy of errors, t…

quant-ph2025

Exact Decoding of Repetition Code under Circuit Level Noise

Hanyan Cao, Shoukuan Zhao, Dongyang Feng +8

Repetition code forms a fundamental basis for quantum error correction experiments. To date, it stands as the sole code that has achieved large distances and extremely low error ra…

cond-mat.stat-mech2024

Free-Energy Machine for Combinatorial Optimization

Zi-Song Shen, Feng Pan, Yao Wang +4

Finding optimal solutions to combinatorial optimization problems is pivotal in both scientific and technological domains, within academic research and industrial applications. A co…