LFU:online

Introduce students to the theory and practical implementation of key numerical methods in quantum many-body physics. Students learn to program basic versions of these algorithms and to generate and analyze the resulting data.

Intro: The (quantum) many-body problem
1. Exact Diagonalization
2. (Quantum) Monte Carlo & finite size scaling
3. Tensor network approaches
4. Machine Learning

Slides, whiteboard & computer exercises

The assessment is based on the project based numerical implementation and theoretical analysis of produced results in form of reports.

Please consinder signing up for the accompanying PS (1h). While it is possible to take this couse only, it is highly suggested to add the PS.