arXiv AI By Yi Zhou

From Paper to Program: Externalizing and Diagnosing Knowledge Bottlenecks in AI-Assisted Quantum Many-Body Code Generation

Read the original on arXiv AI →

arXiv:2604. 04089v4 Announce Type: replace-cross Abstract: Large language models can write scientific code, but direct paper-to-program translation remains fragile when correctness depends on tacit conventions rather than explicit equations.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv AI.

arXiv AI
Aug 11

QuantumMind: Constraint-Grounded Agentic Reasoning for Speedup Analysis in Quantum Computing

arXiv:2608. 07743v1 Announce Type: new Abstract: Identifying a meaningful quantum speedup requires more than matching a classical problem to a familiar quantum primitive: the claim must preserve the task, respect access and output models, expose required promises, and remain within a defensible complexity scope.

By Yijing Zuo, Zhe Fu, Zihan Nie, Zhihui Zhu, Haohan Wang