no code implementations • 23 Sep 2020 • D. L. Boyda, M. N. Chernodub, N. V. Gerasimeniuk, V. A. Goy, S. D. Liubimov, A. V. Molochkov
We study the machine learning techniques applied to the lattice gauge theory's critical behavior, particularly to the confinement/deconfinement phase transition in the SU(2) and SU(3) gauge theories.
no code implementations • 16 Jun 2020 • M. N. Chernodub, Harold Erbin, V. A. Goy, A. V. Molochkov
We investigate the advantages of machine learning techniques to recognize the dynamics of topological objects in quantum field theories.
no code implementations • 18 Nov 2019 • M. N. Chernodub, Harold Erbin, I. V. Grishmanovskii, V. A. Goy, A. V. Molochkov
Vacuum fluctuations of quantum fields between physical objects depend on the shapes, positions, and internal composition of the latter.