Modul

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Students can understand scientifically motivated problems and process relevant literature to address the problem and possible solutions in cooperation with their supervisors. Using current quantum software frameworks, students can implement and evaluate practical solutions. Using the acquired knowledge and referring to current research results, students are able to interpret and comprehend their results. At regular meetings, progress is presented and possible obstacles are explained. Students can document the theory behind the solutions they have developed and present them in a comprehensible way.

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This practical course focuses on the theoretical analysis and practical implementation of current topics in quantum computing. The introduction covers necessary mathematical foundations of quantum systems and their representation by qubits and quantum circuits before delving into the specifics of the topics offered. Possible topics include quantum algorithms, optimization of quantum systems, quantum software engineering, or quantum machine learning.

There are fixed dates for topic assignment and lectures to introduce the topic of quantum computing. Additional face-to-face meetings to discuss individual progress are coordinated individually between the participants and supervisors. Participants work on separate tasks that are defined on the basis of current research work and thus offer realistic problems from practice and research. Assignments are graded individually, group work is possible. Prior knowledge and areas of interest of the participants are taken into account when assigning the topics.

- Knowledge of linear algebra is recommended
- Programming experience is helpful.

- Attendance time 20h (Kick-off, introduction to theoretical aspects and topical areas, supervision meetings, closing event)
- Familiarization 20h
- Preparation of report and presentation 20h
- Independent work on the topic 120h
- Total 180h / 30 = 6 ECTS