September 27, 2021 to October 1, 2021
ECT* - Trento
Europe/Rome timezone

Machine learning for theories with fermions

Sep 29, 2021, 3:50 PM
50m
Aula Renzo Leonardi (ECT* - Trento)

Aula Renzo Leonardi

ECT* - Trento

Strada delle Tabarelle, 286 38123 - Villazzano (TN) Italy

Speaker

Andrei Alexandru (The George Washington University)

Description

Machine learning can be used for generative methods that approximate PDFs corresponding to quantum field theories. To remove any bias an accept/reject step is required which for theories with fermions involve the calculation of the fermionic determinant. We investigate the use of pseudo-fermion methods for the accept/reject step to bypass the need to compute costly determinants. As an example we use the two dimensional Thirring model.

Presentation materials