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Zeguan Wu

2 papers indexed

arxivcs.AIcs.LGquant-ph2026-07-19

Self-Modifying Lean Proof Agents with Verifier-Grounded Benchmark Coevolution

Yuqing Li, Zeguan Wu, Yu Gan, Junyu Liu

Designing effective Lean proof agents is a central challenge in formal mathematical reasoning. Beyond building stronger provers, recent work emphasizes the workflow around Lean: how an agent decomposes proof obligations, uses tools and compiler feedback, diagnoses failures, repai…

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arxivquant-phcs.AIcs.LG2026-07-01

When AI meets quantum information: A comprehensive review

Min Chen, Yu Gan, Xin Jin, Yuqing Li, Junqi Wang, Zeguan Wu, et al.

Artificial intelligence (AI) and quantum information (QI) are rapidly co-evolving. AI is becoming a practical tool for learning, designing, controlling, and verifying quantum systems, while QI offers new computational models, representational structures, and learning-theoretic qu…

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