Class timings: 3:00 PM -5:00 PM, Wednesdays 

Venue: Emmy Noether Seminar Room and Online

First class: May 17, 2023

Course Description: 

The course is aimed at introducing some of the most ubiqutiously used computational methods in quantum many-body physics to PhD students and interested postdocs. There will be a certain focus on kinds of settings commonly encountered in condensed matter and statistical physics, such as interacting fermionic, bosonic or spin systems on lattices. Some of the topics that will be covered are extracting eigenvalues and eigenstates using (sparse) exact diagonalisation, time-evolution methods for non- equilibrium quantum dynamics, classical and quantum Monte-Carlo methods and using them to understand critical behaviour, a basic introduction to simulating dynamics of open quantum systems, and finally, time permitting, some tensor network methods. The emphasis will be on both, the algorithms and the physics behind them, as well as their implementations. Hence, it is required that the students have completed courses on quantum mechanics and statistical mechanics at the Master’s level. Some basic experience with programming (in any language) is also desirable.

Course Evaluation: Assignments

Credit Score: 2