Tobias Rohe, M.Sc. Lehrstuhl für Mobile und Verteilte Systeme Ludwig-Maximilians-Universität München, Institut für Informatik Oettingenstraße 67 Raum E 109 Telefon: +49 89 / 2180-9171 Fax: +49 89 / 2180-9148 Mail: tobias.rohe@ifi.lmu.de |
🔬 Research Interests
- Quantum Computing
- Quantum Optimization
🎓 Teaching (Assistance)
- Rechnerarchitektur: SS23
- Betriebssysteme WS23/24
We are always looking for new tutors: Tutor:in für den Lehrbetrieb (m/w/d)
💡 Open Thesis Ideas
I am always looking for great students who are passionate about science and highly intrinsically motivated to work on cutting-edge research ideas. If this applies to you and you are looking for an opportunity to write your thesis (BA & MA) in the field of quantum computing, or work as Research Assistant (HiWi) in this field, please feel free to write to me personally or apply via our thesis form (Anfrage Abschlussarbeiten). I also offer the supervision of individual internships (Einzelpraktika) for 6 or 12 ECTS. If you are interested, please contact me.
Please understand that first experiences in quantum computing are urgently required, since a short-term familiarization with our topics is hardly possible. Note: Supervision capacities may vary, but there are usually enough research topics available.
The following topics are generally of interest:
- Quantum Generative Adversarial Networks
- Quantum Autoencoders
- Quantum Boltzmann Machines
- Pre-training & Hyperparameter Optimization for Quantum Circuits/Algorithms
- Problem Instance Comparison
- Detecting Solution-paths for Quantum Applications
- Quantum Use-Cases
- Quantum Workflows (only EP)
✅ Completed/Current Student Theses
- Exploring QuGANs for Realistic Graph Generation – An Exploratory
Study by Florian Burger (MA) - General Quantum Workflow by Simon Grätz (EP)
📚 Publications
[3] Sünkel, L., Kölle, M., Rohe, T., & Gabor, T. (2024). Towards Federated Learning on the Quantum Internet. arXiv preprint arXiv:2402.09902. https://arxiv.org/abs/2402.09902 [2] Kölle, M., Giovagnoli, A., Stein, J., Mansky, M. B., Hager, J., Rohe, T., Müller, R., & Linnhoff-Popien, C. (2023). Weight Re-Mapping for Variational Quantum Algorithms (arXiv:2306.05776). arXiv. http://arxiv.org/abs/2306.05776 [1] Stein, J., Rohe, T., Nappi, F., Hager, J., Bucher, D., Zorn, M., … & Linnhoff-Popien, C. (2023). Introducing Reducing-Width-QNNs, an AI-inspired Ansatz design pattern. arXiv preprint arXiv:2306.05047.