Master's Work Experience (QST)

This module is part of the research phase, in which students work on a current problem in the field of quantum science and technology (QST). Possible topics are based on the research focus of the departments, schools or groups participating in the Quantum Science and Technology Master's program. Topics include experimental and theoretical work on quantum computing, quantum communication, quantum cryptography, quantum simulation, quantum sensing, quantum metrology, and quantum materials.

This module offers students the opportunity to familiarize themselves with experimental or theoretical/computational methods specific to the subject area in which they plan to write their Master's thesis. In the case of experimental topics, these methods include specific experimental preparation and measurement methods as well as methods for data evaluation. For theoretical topics, analytic or numerical/computational methods are involved.

After completing the module the student is able to:

1. Apply the theoretical and/or experimental methods required for the chosen topic.

2. Analyze, evaluate and discuss the results obtained with these methods.

All module requirements listed in the acceptance letter for the Quantum Science and Technology Master's program must have been met. Recommendation: at least 40 credits points from the modules of the first and second semester of the Quantum Science & Technology Master's program should have been successfully completed.

The module consists of participation in specific experimental or theoretical research tasks within the working environment of a specific research group. The students learn methods specific to their chosen research area, via independent literature studies and via discussions with their supervisor and other members of their research group.

research experiments, computers, specific software, simulations

Books, research and review papers on a specific research topic – relevant information is provided by the supervisor.

Students write a report (typically 5-30 pages, pass/fail credit requirement), demonstrating their ability to understand, apply and discuss topic-specific methods and results.