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, SS24
  • 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)
  • Problem-specific Entanglement in Variational Quantum Circuits by Benjamin Ring (BA)
  • Analyzing the Parameter Adaption of Transfer Learning in Variational Quantum Eigensolvers by Julio Amaru Brocca Alvarado (BA)
  • Neural Encoded VQEs for Combinatorial Optimization Problems by Federico Harjes Ruiloba (BA)

 

📚 Publications

2024

  • T. Rohe, D. Schuman, J. Nüßlein, L. Sünkel, J. Stein, and C. Linnhoff-Popien, „The Questionable Influence of Entanglement in Quantum Optimisation Algorithms,“ arXiv preprint arXiv:2407.17204, 2024.
    [BibTeX] 
    @article{rohe2024questionable,
title={The Questionable Influence of Entanglement in Quantum Optimisation Algorithms},
author={Rohe, Tobias and Schuman, Dani{\"e}lle and N{\"u}{\ss}lein, Jonas and S{\"u}nkel, Leo and Stein, Jonas and Linnhoff-Popien, Claudia},
journal={arXiv preprint arXiv:2407.17204},
year={2024}
}
  • T. Rohe, S. Grätz, M. Kölle, S. Zielinski, J. Stein, and C. Linnhoff-Popien, „From Problem to Solution: A general Pipeline to Solve Optimisation Problems on Quantum Hardware,“ arXiv preprint arXiv:2406.19876, 2024.
    [BibTeX] 
    @article{rohe2024problem,
title={From Problem to Solution: A general Pipeline to Solve Optimisation Problems on Quantum Hardware},
author={Rohe, Tobias and Gr{\"a}tz, Simon and K{\"o}lle, Michael and Zielinski, Sebastian and Stein, Jonas and Linnhoff-Popien, Claudia},
journal={arXiv preprint arXiv:2406.19876},
year={2024}
}
  • M. Kölle, T. Witter, T. Rohe, G. Stenzel, P. Altmann, and T. Gabor, „A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning,“ arXiv preprint arXiv:2405.12354, 2024.
    [BibTeX] 
    @article{kolle2024study,
title={A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning},
author={K{\"o}lle, Michael and Witter, Timo and Rohe, Tobias and Stenzel, Gerhard and Altmann, Philipp and Gabor, Thomas},
journal={arXiv preprint arXiv:2405.12354},
year={2024}
}
  • L. Sünkel, M. Kölle, T. Rohe, and T. Gabor, „Towards Federated Learning on the Quantum Internet,“ in International Conference on Computational Science, 2024, p. 330–344.
    [BibTeX] 
    @inproceedings{sunkel2024towards,
title={Towards Federated Learning on the Quantum Internet},
author={S{\"u}nkel, Leo and K{\"o}lle, Michael and Rohe, Tobias and Gabor, Thomas},
booktitle={International Conference on Computational Science},
pages={330--344},
year={2024},
organization={Springer}
}
  • J. Stein, T. Rohe, F. Nappi, J. Hager, D. Bucher, M. Zorn, M. Kölle, and C. Linnhoff-Popien, „Introducing Reducing-Width-QNNs, an AI-inspired Ansatz design pattern,“ in Proceedings of the 16th International Conference on Agents and Artificial Intelligence – Volume 3: ICAART, 2024, pp. 1127-1134. doi:10.5220/0012449800003636
    [BibTeX] 
    @inproceedings{stein2023introducing,
title={Introducing Reducing-Width-QNNs, an AI-inspired Ansatz design pattern},
author={Stein, Jonas and Rohe, Tobias and Nappi, Francesco and Hager, Julian and Bucher, David and Zorn, Maximilian and K{\"o}lle, Michael and Linnhoff-Popien, Claudia},
booktitle={Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2024},
pages={1127-1134},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012449800003636},
isbn={978-989-758-680-4},
issn={2184-433X},
}

2023

  • M. Kölle, A. Giovagnoli, J. Stein, M. B. Mansky, J. Hager, T. Rohe, R. Müller, and C. Linnhoff-Popien, „Weight Re-mapping for Variational Quantum Algorithms,“ in International Conference on Agents and Artificial Intelligence, 2023, p. 286–309.
    [BibTeX] 
    @inproceedings{kolle2023weight,
title={Weight Re-mapping for Variational Quantum Algorithms},
author={K{\"o}lle, Michael and Giovagnoli, Alessandro and Stein, Jonas and Mansky, Maximilian Balthasar and Hager, Julian and Rohe, Tobias and M{\"u}ller, Robert and Linnhoff-Popien, Claudia},
booktitle={International Conference on Agents and Artificial Intelligence},
pages={286--309},
year={2023},
organization={Springer}
}