Umut Çalıkyılmaz
- Wissenschaftlicher Mitarbeiter -
Institut für Informationssysteme
Universität zu Lübeck
Ratzeburger Allee 160 ( Gebäude 64 - 2.OG, Raum 36 )
D-23562 Lübeck
Telefon: +49 451 3101 5724
Fax : +49 451 3101 5704E-Mail an umut.calikyilmaz@uni-luebeck.de
Curriculum Vitae
- Seit 16. August 2022 - wissenschaftlicher Mitarbeiter am Institut für Informationssysteme der Universität zu Lübeck im Rahmen des BMBF Projektes QC4DB unter der Leitung von Herrn Prof. Dr. Sven Groppe.
Publikationen
2023
- Le Gruenwald, Tobias Winker, Umut Çalıkyılmaz, Jinghua Groppe, 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, 2023
- Umut Çalıkyılmaz, Sven Groppe, Jinghua Groppe, Tobias Winker, Stefan Prestel, Farida Shagieva, Daanish Arya, Florian Preis, Le Gruenwald: Opportunities for Quantum Acceleration of Databases: Optimization of Queries and Transaction Schedules
in: Proc. VLDB Endow., 2023, Vol.16, (9), p.2344-2353 - Tobias Winker, Umut Çalıkyılmaz, Le Gruenwald, 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 - Nitin Nayak, Jan Rehfeld, Tobias Winker, Benjamin Warnke, Umut Çalıkyılmaz, 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
2022
- Sven Groppe, Jinghua Groppe, Umut Çalıkyılmaz, Tobias Winker, 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