Speaker: Morten Hjorth-Jensen, University of Oslo (NOR) & Michigan State University (USA)

Location: Erling Sverdrups plass, Niels Henrik Abels hus, 8th floor  

Title: Machine Learning and Quantum Mechanics for Many Interacting Particles

Abstract: The main aim is to give you a short and pedestrian introduction to how we can use Machine Learning methods to solve quantum mechanical many-body problems. And why this could be of interest. I will focus on the link between variational methods (Variational Monte Carlo as an example) and so-called Boltzmann machines and how they can be used to solve many-body problems, as well as to give a survey on how other Deep Learning methods can be used in Physics analysis and discoveries.

Contact Information:
Riccardo De Bin – debin@math.uio.no
Riccardo Parviero – riccarpa@math.uio.no