Stochastic Normalizing Flows for lattice gauge theory and defects

Not scheduled
20m
Aula Renzo Leonardi (ECT*)

Aula Renzo Leonardi

ECT*

Strada delle Tabarelle 286, I-38123 Villazzano (Trento)

Speaker

Elia Cellini (University of Turin/ INFN Turin)

Description

In recent years, flow-based samplers have emerged as a promising alternative to traditional sampling methods in lattice field theory. In this talk, I will introduce a class of flow-based samplers known as Stochastic Normalizing Flows (SNFs), which combine neural networks with non-equilibrium Monte Carlo algorithms. I will then show that SNFs exhibit excellent scaling with volume in lattice SU$(3)$ gauge theory. Afterward, I will focus on gauge theories with defects and outline a general strategy for applying flow-based samplers to these systems. In particular, I will present an application to SU$(3)$ gauge theory with open boundary conditions, broadening the scope of modern sampling techniques.

Author

Elia Cellini (University of Turin/ INFN Turin)

Presentation materials

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