Mitigating topological freezing using out-of-equilibrium simulations

Claudio Bonanno, Alessandro Nada*, Davide Vadacchino

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Downloads (Pure)

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 CPN−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.

Original languageEnglish
Article number126
JournalJournal of High Energy Physics
Volume2024
Issue number4
DOIs
Publication statusPublished - 23 Apr 2024

ASJC Scopus subject areas

  • Nuclear and High Energy Physics

Keywords

  • Algorithms and Theoretical Developments
  • Lattice Quantum Field Theory
  • Other Lattice Field Theories
  • Vacuum Structure and Confinement

Fingerprint

Dive into the research topics of 'Mitigating topological freezing using out-of-equilibrium simulations'. Together they form a unique fingerprint.

Cite this