Maja Franz

Maja Franz (M.Sc.)

Doctoral Student

Mail: maja.franz@oth-regensburg.de

Projects

• TAQO-PAM
• QLindA

Publications

2024

CHEP Conference
Co-Design of Quantum Hardware and Algorithms in Nuclear and High Energy Physics

Maja Franz, Pía Zurita, Markus Diefenthaler, Wolfgang MauererProceedings of the 26th International Conference on Computing in High Energy & Nuclear Physics2024.
PDF [BibTex]

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BibTex Entry

@inproceedings{franz:23:chep,
 author = {Maja Franz and Pía Zurita and Markus Diefenthaler and Wolfgang Mauerer},
 booktitle = {Proceedings of the 26th International Conference on Computing in High Energy \& Nuclear Physics},
 doi = {},
 entrysubtype = {Conference},
 language = {en},
 title = {Co-Design of Quantum Hardware and Algorithms in Nuclear and High Energy Physics},
 userd = {CHEP '23},
 year = {2024}
}

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2023

Thesis
Uncovering Instabilities in Variational-Quantum Deep Q-Networks

Maja Franz2023.
PDF [BibTex]

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BibTex Entry

@mastersthesis{franz:23:master,
 author = {Franz, Maja},
 entrysubtype = {Thesis},
 month = {05},
 school = {OTH Regensburg},
 title = {Uncovering Instabilities in Variational-Quantum Deep Q-Networks},
 year = {2023}
}

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SIGMOD Tutorial A*
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]

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BibTex Entry

@inproceedings{winker:23:sigmodtutorial,
 address = {New York, NY, USA},
 author = {Winker, Tobias and Groppe, Sven and Uotila, Valter and Yan, Zhengtong and Lu,
Jiaheng and Franz, Maja and Mauerer, Wolfgang},
 badge = {Tutorial},
 booktitle = {Companion of the 2023 International Conference on Management of Data},
 doi = {10.1145/3555041.3589404},
 isbn = {9781450395076},
 keywords = {databases, quantum machine learning, quantum computing},
 location = {Seattle, WA, USA},
 numpages = {8},
 pages = {45–52},
 publisher = {Association for Computing Machinery},
 series = {SIGMOD/PODS '23},
 title = {Quantum Machine Learning: Foundation, New Techniques, and Opportunities
for Database Research},
 url = {https://doi.org/10.1145/3555041.3589404},
 userc = {CORE23:A*},
 userd = {SIGMOD '23},
 year = {2023}
}

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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 Reproduction Package [BibTex]

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BibTex Entry

@article{franz:22:qrl,
 author = {Franz, Maja and Wolf, Lucas and Periyasamy, M. and Ufrecht, Ch. and Scherer, D. and Plinge, A. and Mutschler, Ch. and Mauerer, Wolfgang},
 doi = {10.1016/j.jfranklin.2022.08.021},
 entrysubtype = {Journal},
 journal = {Journal of The Franklin Institute},
 month = {8},
 publisher = {Elsevier (Open Access)},
 title = {Uncovering Instabilities in Variational-Quantum Deep Q-Networks},
 userc = {IF:4.45},
 year = {2022}
}

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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 Reproduction Package [BibTex]

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BibTex Entry

@inproceedings{schoenberger:22:icsa,
 author = {Schönberger, Manuel and Franz, Maja and Scherzinger, Stefanie and Mauerer, Wolfgang},
 booktitle = {2022 IEEE 19th International Conference on Software Architecture Companion (ICSA-C)},
 doi = {10.1109/ICSA-C54293.2022.00039},
 entrysubtype = {Workshop},
 pages = {164-169},
 title = {Peel | Pile? Cross-Framework Portability of Quantum Software},
 url = {https://ieeexplore.ieee.org/document/9779833},
 userc = {CORE22:A},
 userd = {ICSA '22},
 year = {2022}
}

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Supervised Theses

2023

Theses

Reinforcement Learning mit parametrisierten Quantenschaltkreisen

Type: Bachelor thesis
State: finished
Supervisor: Wolfgang Mauerer
Project: QLindA
Student: Maja Franz (submitted: 31. Aug 2021)
Verfahren und Konzepte des quantenbasierten Reinforcement Learnings werden vorgestellt und daraus entwickelte Technologien experimentell untersucht.