Double Feature: Bridging machine learning and quantum physics with tensor networks (Dr. Ivan Glasser)
- Date: Oct 16, 2018
- Time: 02:30 PM (Local Time Germany)
- Speaker: Dr. Ivan Glasser
- Theory Division, MPQ
- Location: Max Planck Institute of Quantum Optics
- Room: Herbert Walther Lecture Hall
Finding efficient representations of high-dimensional functions is a central problem in both machine learning and the simulation of quantum many-body systems. In this talk I will discuss the relationship between these two fields of research using the framework of tensor networks, which have been invented independently in physics and computer science.
I will show that this connection sheds some light on recent progress on the use of machine learning techniques to study quantum systems, as well as quantum-inspired algorithms to perform machine learning. I will explain what are the similarities and differences between the classical and quantum-inspired approaches, and present recent results on tensor network algorithms for modeling probability distributions.