A novel gauge-equivariant neural network architecture for preconditioners in lattice QCD
Simon Pfahler1, Daniel Knüttel1, Christoph Lehner1, Tilo Wettig1
1 Department of Physics, University of Regensburg
Correspondence: simon.pfahler@ur.de
Slides
Paper
The proceedings article explaining everything in more detail is available here:
https://doi.org/10.48550/arXiv.2602.23840
Code availability
Code to reproduce the results presented in the talk is available in this GitHub repository, which relies heavily on the python package qcd_ml.
Funding
This work is supported by the German Academic Scholarship Foundation (Studienstiftung des deutschen Volkes).