Lecture 'From cuprates to neural quantum states and quantum simulation'

Following the discovery of high temperature superconductivity, unraveling its origins has become a key problem of condensed matter physics. From a model perspective, a wealth of research has concentrated on the paradigmatic Fermi-Hubbard model, which has been a key motivation for analog quantum simulation using fermionic atoms in optical lattices.

In this talk, I will outline how -- following theoretical considerations as well as experimental observations -- we can determine more realistic yet still simple models to describe the cuprate materials. I will then demonstrate some of our recent efforts to understand the physics of these models through (i) neural quantum states, where the quantum state is represented by a neural network; and (ii) quantum simulation using cold atoms in optical lattices or tweezers.