Computational Many-Body Physics
summer 2021

Mo, 10.00   | weekly lecture videos online
  on this course website and in parallel on Vimeo

Wed, 16.00 | Q & A with Prof. Simon Trebst
  Zoom or in-presence meeting in E0.03
  April 14, 21; May 5, 19; June 9, 23; July 7, 21

Wed, 16.00 | Tutorial
  Zoom or in-presence meeting in E0.03
  (alternating with the Q & A session every other week)
  April 28; May 12; June 2, 16, 30; July 14, 23


The lecture will provide an overview of modern numerical approaches to many-body systems, both classical and quantum. The in-depth introduction of elementary algorithms will include Monte Carlo methods, machine learning techniques, and entanglement based approaches, which will be complemented by an application of these methods to fundamental models and phenomena, mostly arising in the context of condensed matter physics, but we might branch out to other fields as well.

Lectures | Syllabus | Literature


Lecture weeks (toggle): intro | week 1+2 | week 3+4 | week 5+6 | week 7+8 | week 9+10 | week 11+12 | week 13+14



General textbooks
Specialized literature
Other resources on the web


The course is intended for master students; it builds on a bachelor level introduction to computational physics as it is taught in many places around the world. If you have not taken such a course, take a look at a recent version of such an introductory course by our group, e.g. Computer-Physik 2020.

We do expect you to have light programming experience, preferably in Julia (which we have been teaching since summer 2016 in the undergraduate course).