ORCID

Abstract

Motivated by the recently-established connection between Jarzynski's equality and the theoretical framework of Stochastic Normalizing Flows, we investigate a protocol relying on out-of-equilibrium lattice Monte Carlo simulations to mitigate the infamous computational problem of topological freezing. We test our proposal on $2d$ $\mathrm{CP}^{N-1}$ models and compare our results with those obtained adopting the Parallel Tempering on Boundary Conditions proposed by M. Hasenbusch, obtaining comparable performances. Our work thus sets the stage for future applications combining our Monte Carlo setup with machine learning techniques.

DOI

10.48550/arxiv.2402.06561

Publication Date

2024-02-09

Organisational Unit

School of Engineering, Computing and Mathematics

Keywords

hep-lat, cond-mat.stat-mech, hep-th

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