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Winter term 2023/24: Numerical methods for quantum many-body systems


1. Intro to quantum many-body systems

2. Exact Diagonalization

3. Monte Carlo Methods

4. Matrix Product States 

5. Neural quantum states


Each topic will consist of a introduction to the technique, practical exercises (coding) and presentations of research results from the current literature using these techniques. 

When & Where:

Tuesdays 11am-1pm and Thursdays 12pm-2pm in 5.0.21 and on zoom (email me for the zoom link). 

Summer term 2023: Machine learning for quantum many body physics


  1. Basics of machine learning (for physicists)
  2. Finding phase transitions/data analysis
    1. Physics background
    2. Regression and regularization
    3. Dimensional reduction and clustering
    4. Neural networks
  3. neural network quantum states
    1. tomography
    2. finding ground states / vmc
  4. optimization & control

Each topic consists of a introduction of the techniques, hands-on implementations, and examples of applications in current research on quantum many-body systems.

We meet in 5.0.21 and on zoom (email me for link) on Tuesdays at 11:00 and Thursdays at 11:30. 


Annabelle Bohrdt

Institute of Theoretical Physics
University of Regensburg
Universitätsstraße 31
D-93053 Regensburg