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

  • Ivelina Bozhinova, Jonas Stein, Sebastian Feld, Claudia Linnhoff-Popien, „Pruning the search space in QUBO-based Community Detection“, Master’s Thesis
  • Moritz Finsterwalder, Christoph Roch, Jonas Stein, Claudia Linnhoff-Popien, „Optimizing Shift Plans Using Classical Methods“, Bachelor’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
  • 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

  • Quantum Computing Programming (Practical Course), SS21

Publications

  • 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