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.
Download the flyer (coming soon).