Tobias Rohe, M.Sc.

Tobias Rohe, M.Sc.

Lehrstuhl für Mobile und Verteilte Systeme

Ludwig-Maximilians-Universität München, Institut für Informatik

Oettingenstraße 67
80538 München

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

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 theses

 

 

📚 Publications

[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.