Machine Learning Lie Structures & Applications to Physics

November 02, 2020 Β· Declared Dead Β· πŸ› Physics Letters B

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Authors Heng-Yu Chen, Yang-Hui He, Shailesh Lal, Suvajit Majumder arXiv ID 2011.00871 Category hep-th Cross-listed cs.LG, hep-ph, math.RT, stat.ML Citations 21 Venue Physics Letters B Last Checked 3 months ago
Abstract
Classical and exceptional Lie algebras and their representations are among the most important tools in the analysis of symmetry in physical systems. In this letter we show how the computation of tensor products and branching rules of irreducible representations are machine-learnable, and can achieve relative speed-ups of orders of magnitude in comparison to the non-ML algorithms.
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