Moodle Seite für die Kurse

  • Einführung in the Programmiertechniken für Studierende der Physik (17026)
  • Fortgeschrittene Programmiertechniken für Studierende der Physik (17028)

This course will convey advanced topics in the field of nanophotonics, in the form of a hybrid lecture/seminar style. Student assessment will be via presentations.

We make an overview of some recent topics of atomic physics that probe the Standard Model of particle physics as related to small tabletop experiments and accelerator-based experiments. A simple and intuitive overview of the theoretical background of the Standard Model related to these experiments are provided during the first 2/3 of the semester. We will cover the fundamental symmetries, weak interaction, electroweak theory, Higgs mechanism, CP violation. During the first few lectures, we will review the material regarding relativistic quantum mechanics covered in Modern hadron and atomic physics I in the previous semester. The lecture assumes some basic undergraduate-level knowledge of quantum mechanics.

The lectures will be provided online using Zoom. If you have questions, please e-mail: If you would like to participate, please register and you will recieve the password to the Zoom session.


Einführungsvorlesung in die Astrophysik für Bachelor-Studierende. Die Vorlesung wird folgende Themenbereiche abdecken:

  • Geschichte & Überblick
  • Klassische Astronomie
  • Gravitation & Himmelsmechanik
  • Strahlung & Materie
  • Teleskope & Instrumentierung
  • Planetologie & das Sonnensystem
  • Stern- & Planetenentstehung
  • Sonne & Stellare Zustandsgrößen
  • Sternaufbau
  • Sternentwicklung & Endphasen der Sterne


Joachim Rädler

During the last two decades, tensor networks have emerged as a powerful new language for encoding the wave functions of quantum many-body states, and the operators acting on them, in terms of contractions of tensors. Insights from quantum information theory have led to highly efficient and accurate tensor network representations for a variety of situations, particularly for one- and two-dimensional (1d, 2d) systems. For these, tensor network-based approaches rank among the most accurate and reliable numerical methods currently available.

This course offers an introduction to tensor network-based numerical methods, including
- the density matrix renormalization group (DMRG) for 1d quantum lattice models,
- the numerical renormalization group (NRG) for quantum impurity models,
- pair-wise entangled pair states (PEPS) for 2d quantum lattice models,
- the tensor renormalization group (TRG) for 2d classical lattice models,
- the exponential TRG (XTRG) for 1d models at finite temperature.

Topics treated in lecture will be supplemented by working MATLAB codes provided in the tutorials. By studying these codes in detail and adapting them to solve concrete physics problems, students will gain practical, hands-on working knowledge of tensor network coding. The exam will consist of a take-home problem involving writing your own code to reproduce some results from recently published research papers.

The minimal requirements for the course are classical field theory, in particular gauge theory with Non-Abelian gauge groups. In the second half of the semester, quantum effects in supersymmetric theories will be discussed, so some knowledge of such effects in non-supersymmetric quantum field theory will be very useful.