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Ge Yan

2 papers indexed

arxivquant-phcs.AIcs.LG2026-06-25

Efficient foundation decoders for fault-tolerant quantum computing

Ge Yan, Shanchuan Li, Shiyi Xiao, Pengyue Ma, Hanyan Cao, Feng Pan, et al.

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 distances. However, their construction often faces a steep scaling barrier, as larger code distances rapi…

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Multi-dimensional hierarchical temporal alignment for improved temporal commonsense reasoning in large language models

Ge Yan, Hai-Tao Yu, Lei Chao

Benefiting from recent advances in generative AI and large language models (LLMs), current LLM-driven AI systems are rapidly reshaping how we reason, plan, and make decisions. Yet endowing these systems with human-like temporal intelligence (e.g., understanding and comparing even…

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