Quiver mutations, Seiberg duality, and machine learning

@article{Bao2020QuiverMS,
title={Quiver mutations, Seiberg duality, and machine learning},
author={Jiakang Bao and S. Franco and Yanghui He and E. Hirst and Gregg Musiker and Yan Xiao},
journal={Physical Review D},
year={2020},
volume={102},
pages={086013}
}

We initiate the study of applications of machine learning to Seiberg duality, focusing on the case of quiver gauge theories, a problem also of interest in mathematics in the context of cluster algebras. Within the general theme of Seiberg duality, we define and explore a variety of interesting questions, broadly divided into the binary determination of whether a pair of theories picked from a series of duality classes are dual to each other, as well as the multiclass determination of theâ€¦Â CONTINUE READING