activity
20242026
most citedQuantum Circuit Synthesis and Compilation Optimization: Overview and Prospects

11 citations · 12 across the 7 of their papers we have counts for

collaborators

8 papers

quant-ph2026

OmniQEC: discovering practical quantum error-correcting codes by an AI scientist

Ge Yan, Shanchuan Li, Pengyue Ma +5

Quantum error correction (QEC) is indispensable for scalable fault-tolerant quantum computing. However, discovering QEC codes that remain effective is challenging, as logical perfo…

quant-ph2026

Efficient foundation decoders for fault-tolerant quantum computing

Ge Yan, Shanchuan Li, Shiyi Xiao +4

Foundation decoders, a class of high-capacity neural decoders, are leading candidates for fault-tolerant quantum computing, with accurate and efficient decoding at large code dista…

quant-ph2026

Maximum Likelihood Decoding of Quantum Error Correction Codes

Hanyan Cao, Ge Yan, Yuxuan Du +1

Quantum error correction (QEC) is indispensable for realizing fault-tolerant quantum computation, yet its effectiveness hinges critically on the classical decoding algorithm that i…

quant-ph2026

Rethink the Role of Neural Decoders in Quantum Error Correction

Ge Yan, Shanchuan Li, Yuxuan Du

Quantum error correction (QEC) is essential for enabling quantum advantages, with decoding as a central algorithmic primitive. Owing to its importance and intrinsic difficulty, sub…

quant-ph2025

Sample-efficient quantum error mitigation via classical learning surrogates

Wei-You Liao, Ge Yan, Yujin Song +5

The pursuit of practical quantum utility on near-term quantum processors is critically challenged by their inherent noise. Quantum error mitigation (QEM) techniques are leading sol…

quant-ph2024

Universal 2-Local Symmetry-Preserving Quantum Neural Networks for Fermionic Systems

Ge Yan, Kaisen Pan, Ruocheng Wang +3

Simulating quantum many-body systems represents a fundamental challenge where classical machine learning methods are severely bottlenecked by the exponential curse of dimensionalit…

quant-ph2024★ 11 cited

Quantum Circuit Synthesis and Compilation Optimization: Overview and Prospects

Ge Yan, Wenjie Wu, Yuheng Chen +6

Quantum computing is a promising paradigm that may overcome the current computational power bottlenecks. The increasing maturity of quantum processors provides more possibilities f…

cs.AR2024★ 1 cited

On Reducing the Execution Latency of Superconducting Quantum Processors via Quantum Job Scheduling

Wenjie Wu, Yiquan Wang, Ge Yan +3

Quantum computing has gained considerable attention, especially after the arrival of the Noisy Intermediate-Scale Quantum (NISQ) era. Quantum processors and cloud services have bee…