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Graph Neural Networks in The Wilson Loop Representation of Abelian Lattice Gauge Theories by lokeshbhirud2011 is a document available to read on EtoBox.

What is Graph Neural Networks in The Wilson Loop Representation of Abelian Lattice Gauge Theories about?

This document presents a gauge-invariant graph neural network (GNN) architecture specifically designed for Abelian lattice gauge theories, utilizing local gauge-invariant inputs such as Wilson loops. The proposed GNN effectively predicts global observables and spatially resolved quantities while eliminating redundant gauge degrees of freedom, demonstrating its capability as a surrogate for semiclassical dynamics in quantum link models. The results highlight the potential of gauge-invariant message passing a

Author

lokeshbhirud2011

Language

EN