Jonas Stein, M.Sc.

Jonas Stein, M.Sc.

Lehrstuhl für Mobile und Verteilte Systeme

Ludwig-Maximilians-Universität München, Institut für Informatik

Oettingenstraße 67
80538 München

Raum G 008

Telefon: +49 89 / 2180-9163

Fax: +49 89 / 2180-9148

Mail: jonas.stein@ifi.lmu.de

Research Interests

Remarks concerning Bachelor’s / Master’s Theses

If you are interested in writing a thesis (BA/MA) on a topic within a subset of my research interests, feel free to contact me. While a list of currently announced theses can be found below, any further ideas are welcome as well. When contacting me, please use your @campus.lmu.de e-mail address and enclose a current transcript of records.

Currently Announced Bachelor’s Theses

  • None

Currently Announced Master’s Theses

  • None

Assigned Theses

  • Navid Roshani, Jonas Stein, Lode Pollet, „Introducing a specialized VQE approach for the Graph Coloring problem“, Bachelor’s Thesis
  • Leopold Bodendörfer, Jonas Stein, Michael Kölle, Claudia Linnhoff-Popien, „Efficient Data Embedding for offline Handwriting Recognition using Quantum Support Vector Machines“, Bachelor’s Thesis
  • Johannes Kolb, Jonas Stein, Christoph Roch, Claudia Linnhoff-Popien, „Investigating the performance of a PUBO based QAOA for continuous optimization problems“, Bachelor’s Thesis
  • Tobias Rohe, Jonas Stein, Julian Hager, Claudia Linnhoff-Popien, „Introducing a Hardware-efficient Layer-VQE based Ansatz“, Bachelor’s Thesis
  • Franziska Wörle, Jonas Stein, Maximilian Mansky, Robert Müller, Claudia Linnhoff-Popien, „Possibilities and limitations of Quantum Machine Translation: Adaption of the DisCoCat-Model for Question Answering in the Chinese Language“, Bachelor’s Thesis
  • Jonathan Wulf, Jonas Stein, Michael Kölle, Claudia Linnhoff-Popien, „Efficient embedding in Quantum Support Vector Machines using a specialized NISQ approach“, Bachelor’s Thesis

Supervised Theses

  • Philip Hierhager, Sebastian Zielinski, Jonas Stein, Claudia Linnhoff-Popien, „Evaluation of quantum-classical hybrid algorithms for solving 3-SAT problems“, Bachelor’s Thesis
  • Ivelina Bozhinova, Jonas Stein, Sebastian Feld, Claudia Linnhoff-Popien, „Pruning the search space in QUBO-based Community Detection“, Master’s Thesis
  • Kai-Chun Lin, Jonas Stein, Christoph Roch, Claudia Linnhoff-Popien, „Community Detection in Multilayer Networks via Quantum Annealing“, Master’s Thesis
  • Maximilian Beer, Jonas Stein, Sebastian Feld, Claudia Linnhoff-Popien, „Local Community Detection via Quantum Walks in the Quantum Gate Model“, Bachelor’s Thesis
  • Moritz Finsterwalder, Christoph Roch, Jonas Stein, Claudia Linnhoff-Popien, „Optimizing Shift Plans Using Classical Methods“, Bachelor’s Thesis
  • Peter Lang, Jonas Stein, Sebastian Feld, Claudia Linnhoff-Popien, „Optimized Community Detection through edge deletion on quantum annealers“, Bachelor’s Thesis
  • Bob Godar, Christoph Roch, Jonas Stein, Claudia Linnhoff-Popien, „Optimizing a Quantum Key Distribution Network using Quantum Annealing“, Masters’s Thesis

Teaching

  • Seminar on advanced topics in Mobile and Distributed Systems (Seminar): W21/22, S22
  • Quantum Computing Programming (Practical Course): S21, W21/22, S22
  • Trends in Mobile and Distributed Systems (Seminar): S21

Projects

Publications

  • B. Godar, C. Roch, J. Stein, M. Geitz, B. Lehmann, M. Gunkel, V. Fürst, F. Hofmann, “Optimization of QKD Networks with Classical and Quantum Annealing”, arXiv.2206.14109 [qp], Jun. 2022, doi:10.48550/ARXIV.2206.14109
  • T. Gabor, M. Lachner, N. Kraus, J. Stein, C. Roch, D. Ratke and C. Linnhoff-Popien, “Modifying the Quantum-Assisted Genetic Algorithm”. To appear in GECCO 2022: The 2022 Genetic and Evolutionary Computation Conference. Boston, July 9-13, 2022.
  • J. Stein, „Quantencomputing-Der neueste Stand der Super-Technologie“, Digitale Welt 6, 3 (2022). doi:10.1007/s42354-022-0464-7
  • J. Stein, L. Borrmann, S. Feld, T. Gabor, C. Roch, L. Sünkel, S. Zielinski and C. Linnhoff-Popien, „Wie gelingt meinem Unternehmen der Einstieg ins Quantencomputing? Über das Ökosystem für die Quantencomputing-Anwenderkompetenz des QAR-Lab“, Digitale Welt 5, 18–23 (2021). doi:10.1007/s42354-021-0331-y