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Preface QDSM

  • The first international workshop on Quantum Data Science and anagement (QDSM), co-located with VLDB 2023, is centered around addressing the possibilities of quantum computing for data science and data management. Quantum computing is a relatively new and emerging field that is believed to have huge computational potential in the future. In the QDSM workshop, we want to provide a venue for discussing and publishing novel results of applying quantum computing to hard data science and data management problems. These problems include join order optimization, designing efficient quantum feature maps, studying possibilities of solving linear programs with quantum algorithms, and divergent index tuning with quantum machine learning. Besides, we include a short and visionary survey on quantum computing for databases. Theworkshop provides a platform for active discussion on these and related topics.

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Metadaten
Author:Valter Uotila, Sven Groppe, Le Gruenwald, Jiaheng Lu, Wolfgang MauererORCiDGND
URL / DOI:https://ceur-ws.org/Vol-3462/QDSM1.pdf
Parent Title (English):Joint Workshops at 49th International Conference on Very Large Data Bases (VLDBW’23) — International Workshop on Quantum Data Science and Management (QDSM’23), August 28 - September 1, 2023, Vancouver, Canada (CEUR Workshop Proceedings)
Publisher:RWTH Aachen, Sun SITE Central Europe
Place of publication:Aachen
Document Type:conference proceeding (article)
Language:English
Year of first Publication:2023
Release Date:2023/10/13
Institutes:Fakultät Informatik und Mathematik
Fakultät Informatik und Mathematik / Labor für Digitalisierung (LFD)
research focus:Digitalisierung
Licence (German):Creative Commons - CC BY - Namensnennung 4.0 International