Double feature: Bridging machine learning and quantum physics with tensor Networks (Dr. Ivan Glasser)
Double feature: Bridging machine learning and quantum physics with tensor Networks
- Datum: 15.10.2019
- Uhrzeit: 14:30
- Vortragende(r): Dr. Ivan Glasser
- Theory Division - MPQ
- Ort: Max Planck Institute of Quantum Optics
- Raum: 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.