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Overview
The chair deals with the realisation of autonomous systems using methods of artificial intelligence and quantum computing. The chair's activities focus on the following areas:
- Quantum Computing, Quantum Annealing, Quantum Machine Learning
- Autonomous Systems using Deep Learning, Reinforcement Learning, Artificial Neural Networks
- Aritificial Intelligence for Applied Health and Nutritional Sciences
If you are interested in writing a thesis, please consider the curated list of Available Thesis Topics below first and familiarize yourself with the research areas and advertised topics of our scientific staff members. Then use the form below to send an enquiry. In general, you should allow some time (several weeks) to find a topic!
Deadlines and Dates
Starting October 1, 2025, stricter regulations regarding the registration and submission of final theses will apply. The exact regulations can be found on this website. Please also plan sufficient time (~1–2 months) for selecting a topic and familiarizing yourself with the subject area.
Further Information & Material
Further information on finding a topic and the general realization of theses can be found in the current information sheet on theses at the Chair of Mobile and Distributed Systems. You can also use the checklist for final theses as a guide.
Information sheet for theses (PDF, 59 KB)
Checklist for theses (PDF, 324 KB)
Further information can be found on the degree program coordination information page.
Thesis / template
Please use the separate LaTeX template provided by the chair to prepare your thesis!
Available Thesis Topics
- Quantum Reservoir Computing
- Quantum Reinforcement Learning
- Quantum Simulation
- Quantum Applications & Optimization of industrial QC Use-Cases
- Quantum Natural Language Processing
- Quantum Machine Learning
- Quantum Communication Networks
- Distributed Quantum Computing
- Quantum Circuit Optimization
For an overview of completed thesis topics we refer to this page on the QAR-Lab website
- Explainability in Machine & Reinforcement Learning
- Multi-Agenten Systems
- Applications of Collective Intelligence
- Reinforcement Learning in Robotic Environments
- Cooperation in Multi-Agent Reinforcement Learning
- Combinatorial Optimization
- Deep Neural Networks for solving NP-hard regression/classification problems
- Differentiable Optimization
- Applications of Representation Learning
Selected topics in the application of AI in healthcare
Computer vision in the medical environment
Completed Theses
For an overview on completed Theses (Bachelor and Master), please refer to our theses collection page.