Abstract

we describe how neural networks may be used to learn solutions to the Yang-Baxter Equation using 2d spin chains of difference form as a concrete example. the talk is based on arxiv:2304.07247, which is joint work with Suvajit Majumder and Evgeny Skvortsov.

Speaker Intro

Dr Shailesh Lal received his PhD from the Harish-Chandra Research Institute. His research interests are applications of machine learning to string theory and mathematical physics, black holes in string theory and higher-spin holography.