J. Heckman

Learning to Trace Seiberg Dualities

This paper uses machine learning methods to address the question of how to efficiently establish dualities of supersymmetric quiver gauge theories for Seiberg dualities of supersymmetric quiver gauge theories and finds that for quivers with a modest number of quiver nodes, different network architectures tend to outperform deterministic algorithms.