Tensor Network based approaches to Quantum Many-Body Systems

The aim of the school is to teach young PhD students the basics of tensor-product states as well as the most recent technical developments. This is particularly important given the increasing number of groups working on this quickly evolving topic. The lectures will be given by researchers who work actively both on the development and the application of tensor-product state based methods.

Dates: 13-17 May 2024
Venue: PadovaIT
Registration: Closed

Simone Montangero, Padova University
Frank Pollmann, TUM
Norbert Schuch, University of Vienna
Frank Verstraete, Cambridge

Topics include

  • Many-body entanglement
  • Matrix-product states
  • Projected entangled pair states
  • Machine Learning
  • Time-dependent variational principle
  • Tensor network renormalization
  • Bulk boundary correspondence
  • Tensor networks for finite temperatures and dynamics

Confirmed Lecturers

Lecture on YouTube.