Tensor Networks

Dates: 6-10 March 2023

Contact: David Pérez-García (dperezga@ucm.es), Germán Sierra (german.sierra@uam.es)

Tensor Networks have been proven to provide efficient and useful descriptions of thermal and low energy states in many body quantum systems. They are defined in quantum information terms and their potential comes from the fact that quantum information tools can be used then to address central problems in quantum matter, as well as in other areas of physics and computer science.

The goal of this focus week is to discuss the last numerical and analytical advances in Tensor Networks, as well as on future promising directions. There will be a maximum of two lectures per day, to leave plenty of time for discussions.

Confirmed lecturers:

  • Harriet Apel (University College London)
  • Maricarmen Bañuls (Max Planck Institute of Quantum Optics)
  • Philippe Corboz (University of Amsterdam)
  • Roman Orus (Donostia International Physics Center)
  • Masaki Oshikawa (University of Tokyo)
  • Didier Poilblanc (Université de Toulouse)
  • Frank Pollmann (Technische Universität München)
  • Slava Rychkov (Institut des Hautes Études Scientifiques)
  • Norbert Schuch (University of Vienna)