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Ergodic topology sampling toward the continuum with Stochastic Normalizing Flows

Bonanno, Claudio et al.
arXiv (All) · Papers
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high-energy-physics-latticehigh-energy-physics-phenomenologymachine-learningstatistical-mechanics
In this work we provide numerical evidence that topological freezing in $\mathrm{SU}(3)$ Yang-Mills theory can be mitigated with a flow-based approach, as tested at lattice spacings as fine as 0.03~fm. We do so by analyzing the scaling of the costs of a computational strategy based on the combinatio
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