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.
Hype or Heuristic? Quantum Reinforcement Learning for Join Order Optimisation, arXiv , vol. 2405.07770, 2024.
Datei: | 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.
Quantum Join Ordering by Splitting the Search Space of QUBO Problems, Datenbank-Spektrum , vol. 24, no. 1, pp. 21-32, 2024.
Datei: | 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.
ReJOOSp: Reinforcement Learning for Join Order Optimization in SPARQL, Big Data and Cognitive Computing (BDCC) , vol. 8, no. 7, 2024.
Datei: | 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.
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.
Datei: | 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.
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.
Datei: | 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.
Opportunities for Quantum Acceleration of Databases: Optimization of Queries and Transaction Schedules, Proc. VLDB Endow. , vol. 16, no. 9, pp. 2344--2353, 2023.
Datei: | 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.
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.
Datei: | 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.
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.
Datei: | 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.
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.
Datei: | 978-3-031-35081-8_20 |
- Team
- Umut Çalıkyılmaz
- Rebecca von Engelhardt
- Björn Filter
- Nils Fußgänger
- Sven Groppe
- Tobias Groth
- Mattis Hartwig
- Nils Wendel Heinrich
- Hanieh Khorashadizadeh
- Angela König
- Malte Luttermann
- Jörg-Uwe Meyer
- Jeannette Mödlhammer
- Nitin Nayak
- Simon Paasche
- Maximilian Plitt
- Nele Rußwinkel
- Simon Schiff
- Sina Scholz
- Tim Schulz
- Thomas Sievers
- Tobias Winker
- Alumni