10–14 Nov 2025
International Convention Center Jeju
Asia/Seoul timezone

Addressing the sign-problem in Euclidean path integrals with radial basis function neural networks

13 Nov 2025, 09:50
15m
2F Room 201B (ICC Jeju)

2F Room 201B

ICC Jeju

Contributed Talk 4. Hadrons at finite density and temperature Parallel Session C

Speaker

Gabor Balassa

Description

Interacting quantum field theories at finite densities pose significant numerical and conceptual challenges, even with modern computational capabilities. In this talk, I propose a new method, based on an expansion of Euclidean path integrals using radial basis function neural networks, which allows the calculation of observables at finite densities and overcomes the sign problem in a numerically very efficient manner. The method is applied to the interacting complex scalar field theory at finite chemical potentials in 3+1 dimensions, which exhibits both the sign problem and the silver blaze phenomenon.

Author

Gabor Balassa

Presentation materials