3 papers
hep-lat2026
Generalizable Equivariant Diffusion Models for Non-Abelian Lattice Gauge Theory
Gert Aarts, Diaa E. Habibi, Andreas Ipp +5
We demonstrate that gauge equivariant diffusion models can accurately model the physics of non-Abelian lattice gauge theory using the Metropolis-adjusted annealed Langevin algorith…
hep-lat2026
Machine-learned RG-improved gauge actions and classically perfect gradient flows
Kieran Holland, Andreas Ipp, David I. Müller +1
Extracting continuum properties of quantum field theories from discretized spacetime is challenging due to lattice artifacts. Renormalization-group (RG)-improved lattice actions ca…
hep-lat2024
Machine learning a fixed point action for SU(3) gauge theory with a gauge equivariant convolutional neural network
Kieran Holland, Andreas Ipp, David I. Müller +1
Fixed point lattice actions are designed to have continuum classical properties unaffected by discretization effects and reduced lattice artifacts at the quantum level. They provid…