Tuesday, 23rd of June, 16.00
(16.00 Coffee & Cake in the foyer, 16.30 talk & discussion)
Lecture Hall III
The term Tensor Network (TN) States designates a number of ansatzes that can efficiently represent quantum many-body states. Ground states and thermal equilibrium of local Hamiltonians, and, to some extent, real time evolution, can be numerically studied with TNs. Quantum information theory provides tools to understand why they are good ansatzes for physically relevant states, and some of the limitations connected to the simulation algorithms.
The potential applications of TNS nowadays extend far beyond quantum many-body physics, for which they were originally introduced, into disciplines as quantum chemistry or quantum field theory. But out-of-equilibrium dynamics poses serious challenges for these techniques, due to the scaling of entanglement with time and system size.
In her talk, Mari Carmen Bañuls from Max Planck Institut für Quantenoptik and Munich Center for Quantum Science and Technology MCQST will first give an introduction to this field. In the 2nd part of her talk she will giv insight into newer developments giving insights to the relation of quantum physics and thermodynamics.