Tobias Winker

- Research Assistant -

Ratzeburger Allee 160
23562 Lübeck
Gebäude 64, 2. OG, Raum 66

Email:	t.winker(at)uni-luebeck.de
Phone:	+49 451 3101 5725

Curriculum Vitae

Since October 2022: Research assistant at the Institute of Information Systems (IFIS) in the project QC4DB

My research interests are:

Quantum Computing
Machine Learning
Evolutionary Algorithms
Query Optimization

Publications

2024

Maja Franz, Tobias Winker, Sven Groppe, and Wolfgang Mauerer,
Hype or Heuristic? Quantum Reinforcement Learning for Join Order Optimisation, arXiv , vol. 2405.07770, 2024.

File:

arXiv.2405.07770

Nitin Nayak, Tobias Winker, Umut Çalıkyılmaz, Sven Groppe, and Jinghua Groppe,
Quantum Join Ordering by Splitting the Search Space of QUBO Problems, Datenbank-Spektrum , vol. 24, no. 1, pp. 21-32, 2024.

File:

s13222-024-00468-3

Benjamin Warnke, Kevin Martens, Tobias Winker, Sven Groppe, Jinghua Groppe, Prasad Adhiyaman, Sruthi Srinivasan, and Shridevi Krishnakumar,
ReJOOSp: Reinforcement Learning for Join Order Optimization in SPARQL, Big Data and Cognitive Computing (BDCC) , vol. 8, no. 7, 2024.

File:

bdcc8070071

2023

Nitin Nayak, Jan Rehfeld, Tobias Winker, Benjamin Warnke, Umut Çalıkyılmaz, and Sven Groppe,
Constructing Optimal Bushy Join Trees by Solving QUBO Problems on Quantum Hardware and Simulators, in Proceedings of the International Workshop on Big Data in Emergent Distributed Environments (BiDEDE), Seattle, WA, USA , 2023.

File:

3579142.3594298

Bibtex:

@inproceedings{Nayak2023QUBO_JOO,
	title = {Constructing Optimal Bushy Join Trees by Solving QUBO Problems on Quantum Hardware and Simulators},
	author = {Nitin Nayak and Jan Rehfeld and Tobias Winker and Benjamin Warnke and Umut Çalıkyılmaz and Sven Groppe},
	booktitle = {Proceedings of the International Workshop on Big Data in Emergent Distributed Environments (BiDEDE), Seattle, WA, USA},
	year = {2023},
	url = {https://doi.org/10.1145/3579142.3594298}
}

Le Gruenwald, Tobias Winker, Umut Çalıkyılmaz, Jinghua Groppe, and Sven Groppe,
Index Tuning with Machine Learning on Quantum Computers for Large-Scale Database Applications, in Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023) - International Workshop on Quantum Data Science and Management (QDSM'23), Vancouver, Canada , CEUR-WS.org, 2023.

File:

QDSM5.pdf

Bibtex:

@inproceedings{Gruenwald2023IndexTuning,
	title = {Index Tuning with Machine Learning on Quantum Computers for Large-Scale Database Applications},
	author = {Le Gruenwald and Tobias Winker and Umut Çalıkyılmaz and Jinghua Groppe and Sven Groppe},
	booktitle = {Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases ({VLDB} 2023) - International Workshop on Quantum Data Science and Management (QDSM'23), Vancouver, Canada},
	year = {2023},
	url = {https://ceur-ws.org/Vol-3462/QDSM5.pdf}
}

Umut Çalıkyılmaz, Sven Groppe, Jinghua Groppe, Tobias Winker, Stefan Prestel, Farida Shagieva, Daanish Arya, Florian Preis, and Le Gruenwald,
Opportunities for Quantum Acceleration of Databases: Optimization of Queries and Transaction Schedules, Proc. VLDB Endow. , vol. 16, no. 9, pp. 2344--2353, 2023.

File:

3598581.3598603

Bibtex:

@article{Calıkyilmaz2023QC_QO_TSO,
	title = {Opportunities for Quantum Acceleration of Databases: Optimization of Queries and Transaction Schedules},
	author = {Umut Çalıkyılmaz and Sven Groppe and Jinghua Groppe and Tobias Winker and Stefan Prestel and Farida Shagieva and Daanish Arya and Florian Preis and Le Gruenwald},
	journal = {Proc. {VLDB} Endow.},
	volume = {16},
	number = {9},
	pages = {2344--2353},
	year = {2023},
	url = {https://doi.org/10.14778/3598581.3598603}
}

Tobias Winker, Umut Çalıkyılmaz, Le Gruenwald, and Sven Groppe,
Quantum Machine Learning for Join Order Optimization using Variational Quantum Circuits, in Proceedings of the International Workshop on Big Data in Emergent Distributed Environments (BiDEDE), Seattle, WA, USA , 2023.

File:

3579142.3594299

Bibtex:

@inproceedings{Winker2023QML_JOO,
	title = {Quantum Machine Learning for Join Order Optimization using Variational Quantum Circuits},
	author = {Tobias Winker and Umut Çalıkyılmaz and Le Gruenwald and Sven Groppe},
	booktitle = {Proceedings of the International Workshop on Big Data in Emergent Distributed Environments (BiDEDE), Seattle, WA, USA},
	year = {2023},
	url = {https://doi.org/10.1145/3579142.3594299}
}

Tobias Winker, Sven Groppe, Valter Uotila, Zhengtong Yan, Jiaheng Lu, Maja Franz, and Wolfgang Mauerer,
Quantum Machine Learning: Foundation, New Techniques, and Opportunities for Database Research, in Proceedings of ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD) , 2023.

File:

3555041.3589404

Bibtex:

@inproceedings{SIGMOD23Tutorial,
author = {Tobias Winker and Sven Groppe and Valter Uotila and Zhengtong Yan and Jiaheng Lu and Maja Franz and Wolfgang Mauerer},
title = {Quantum Machine Learning: Foundation, New Techniques, and Opportunities for Database Research},
booktitle = {Proceedings of ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD)},
location = {Seattle metropolitan area, Washington, USA},
year = {2023},
pages = {},
url = {https://doi.org/10.1145/3555041.3589404}
}

2022

Sven Groppe, Jinghua Groppe, Umut Çalıkyılmaz, Tobias Winker, and Le Gruenwald,
Quantum Data Management and Quantum Machine Learning for Data Management: State-of-the-Art and Open Challenges, in Proceedings of the EAI International Conference on Intelligent Systems and Machine Learning (EAI ICISML 2022) , 2022.

File:

978-3-031-35081-8_20