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Maja Franz

Maja Franz (M.Sc.)

Doctoral Student

Mail: maja.franz@oth-regensburg.de

Projects

Publications

2023

Thesis
Uncovering Instabilities in Variational-Quantum Deep Q-Networks
Maja Franz2023.
PDF [BibTex]
SIGMOD A* Tutorial
Quantum Machine Learning: Foundation, New Techniques, and Opportunities for Database Research
Tobias Winker, Sven Groppe, Valter Uotila, Zhengtong Yan, Jiaheng Lu, Maja Franz, Wolfgang MauererCompanion of the 2023 International Conference on Management of DataAssociation for Computing Machinery2023.
PDF 10.1145/3555041.3589404 [BibTex]

2022

Journal 4.45
Uncovering Instabilities in Variational-Quantum Deep Q-Networks
Maja Franz, Lucas Wolf, M. Periyasamy, Ch. Ufrecht, D. Scherer, A. Plinge, Ch. Mutschler, Wolfgang MauererJournal of The Franklin InstituteElsevier (Open Access)2022.
PDF 10.1016/j.jfranklin.2022.08.021 [BibTex]
ICSA Workshop A
Peel | Pile? Cross-Framework Portability of Quantum Software
Manuel Schönberger, Maja Franz, Stefanie Scherzinger, Wolfgang Mauerer2022 IEEE 19th International Conference on Software Architecture Companion (ICSA-C)2022.
PDF 10.1109/ICSA-C54293.2022.00039 [BibTex]

Theses

Reinforcement Learning mit parametrisierten Quantenschaltkreisen
Type: Bachelor thesis
State: finished
Supervisor: Wolfgang Mauerer
Student: Maja Franz (submitted: 31. Aug 2021)
Verfahren und Konzepte des quantenbasierten Reinforcement Learnings werden vorgestellt und daraus entwickelte Technologien experimentell untersucht.
Uncovering Instabilities in Variational-Quantum Deep Q-Networks
 
Type: Master thesis
State: finished
Supervisor: Wolfgang Mauerer
Student: Maja Franz (submitted: 23. May 2023)