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.
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 |