ORCID
- Vadacchino, Davide: 0000-0002-5783-5602
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
Recommended Citation
Bonanno, C., Nada, A., & Vadacchino, D. (2024) 'Mitigating topological freezing using out-of-equilibrium simulations', Available at: https://doi.org/10.48550/arxiv.2402.06561