Teaching - winter term 2018/2019

Comments and suggestions are always welcome (teaching@mkliesch.eu).

Course: Machine learning in quantum physics

Quantum machine learning is an emerging research field. This first course focuses on the subfield where classical machine learning is applied in quantum physics. The goal of this course is to provide the students with the necessary skills to understand the main ideas and some details of the ongoing research.

Click here for details.

Group seminar: Theoretical quantum science and technology

Group members will present and discuss their latest progress and results and give tutorial talks. Some talks will also be given by external visitors.

Interested students are always very welcome.

Click here for details.