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arXiv AI By Benjamin Breen, Marco Del Tredici, Jacob McCarran, Javier Aspuru Mijares, Weichen Winston Yin, Kfir Sulimany, Jacob M. Taylor, Frank H. L. Koppens, Dirk Englund

Ax-Prover: A Deep Reasoning Agentic Framework for Theorem Proving in Mathematics and Quantum Physics

Read the original on arXiv AI →

Ax-Prover is a multi‑agent framework that uses Large Language Models (LLMs) combined with Lean tools via the Model Context Protocol (MCP) to generate formally correct proofs in mathematics and quantum physics. It can operate autonomously or collaboratively with human experts, and its performance on public math benchmarks and new Lean benchmarks in abstract algebra and quantum theory shows it is competitive with state‑of‑the‑art provers and often outperforms them. The system also demonstrated practical assistant capabilities by helping a mathematician formalize a complex cryptography theorem.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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