[2603.29932] Bethe Ansatz with a Large Language Model

[2603.29932] Bethe Ansatz with a Large Language Model

arXiv - AI 4 min read

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Abstract page for arXiv paper 2603.29932: Bethe Ansatz with a Large Language Model

Condensed Matter > Statistical Mechanics arXiv:2603.29932 (cond-mat) [Submitted on 31 Mar 2026] Title:Bethe Ansatz with a Large Language Model Authors:Balázs Pozsgay, István Vona View a PDF of the paper titled Bethe Ansatz with a Large Language Model, by Bal\'azs Pozsgay and Istv\'an Vona View PDF HTML (experimental) Abstract:We explore the capability of a Large Language Model (LLM) to perform specific computations in mathematical physics: the task is to compute the coordinate Bethe Ansatz solution of selected integrable spin chain models. We select three integrable Hamiltonians for which the solutions were unpublished; two of the Hamiltonians are actually new. We observed that the LLM semi-autonomously solved the task in all cases, with a few mistakes along the way. These were corrected after the human researchers spotted them. The results of the LLM were checked against exact diagonalization (performed by separate programs), and the derivations were also checked by the authors. The Bethe Ansatz solutions are interesting in themselves. Our second model manifestly breaks left-right invariance, but it is PT-symmetric, therefore its solution could be interesting for applications in Generalized Hydrodynamics. And our third model is solved by a special form of the nested Bethe Ansatz, where the model is interacting, but the nesting level has a free fermionic structure lacking $U(1)$-invariance. This structure appears to be unique and it was found by the LLM. We used ChatGPT 5....

Originally published on April 01, 2026. Curated by AI News.

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