Parallel Tempered Metadynamics: Overcoming potential barriers without surfing or tunneling
Timo Eichhorn, Gianluca Fuwa, Christian Hoelbling, Lukas Varnhorst

TL;DR
This paper introduces a modified parallel tempering Metadynamics algorithm that effectively unfreezes topological sectors in gauge theories, significantly reducing autocorrelation times and improving sampling efficiency in lattice simulations.
Contribution
The authors develop a new algorithm combining Metadynamics with parallel tempering to overcome topological freezing in gauge theories, with demonstrated improvements in autocorrelation times.
Findings
Achieves topological unfreezing without reducing effective sample size.
Reduces autocorrelation times by at least two orders of magnitude in SU(3) gauge theory.
Improves scaling of autocorrelation times with lattice spacing in U(1) gauge theory.
Abstract
At fine lattice spacings, Markov chain Monte Carlo simulations of QCD and other gauge theories with or without fermions are plagued by slow modes that give rise to large autocorrelation times. This can lead to simulation runs that are effectively stuck in one topological sector, a problem known as topological freezing. Here, we demonstrate that for a relevant set of parameters, Metadynamics can be used to unfreeze 4-dimensional SU(3) gauge theory. However, compared to local update algorithms and the Hybrid Monte Carlo algorithm, the computational overhead is significant in pure gauge theory, and the required reweighting procedure may considerably reduce the effective sample size. To deal with the latter problem, we propose modifications to the Metadynamics bias potential and the combination of Metadynamics with parallel tempering. We test the new algorithm in 4-dimensional SU(3) gauge…
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Taxonomy
TopicsTheoretical and Computational Physics · Quantum Chromodynamics and Particle Interactions · Topological and Geometric Data Analysis
