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}
}
  • Jiakang Bao, S. Franco, +3 authors Yan Xiao
  • Published 2020
  • Physics, Mathematics
  • Physical Review D
  • 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 the… CONTINUE READING
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