Speaker
Akio Tomiya
(IPUT Osaka)
Description
In this presentation, I will discuss applications of machine learning techniques in Lattice QCD. Lattice QCD has physical symmetries and quantum-statistical features compared to standard machine learning in image processing. I mainly explain the gauge covariant neural network, capable of these symmetries and features, and its applications in the context of exact simulations. I will also briefly mention the LatticeQCD.jl library, which enables lattice QCD simulations using the gauge covariant neural network with LLVM compiling technology.
| Recording and publishing | yes |
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Primary author
Akio Tomiya
(IPUT Osaka)
