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 language | English |
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Article number | 126 |
Journal | Journal of High Energy Physics |
Volume | 2024 |
Issue number | 4 |
DOIs | |
Publication status | Published - 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