Demo Data from EDBT 2026 / reviewers in the wild / expert
Florian Preis
dblp:349/8839
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Databases, data mining, and information retrieval
1 paper |
Query processing and optimization · 50% Transaction processing and concurrency control · 50% | |
| Theoretical computer science
1 paper |
Quantum computing and quantum information · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Transaction processing and concurrency control
transaction scheduling |
0.7 | 1 | 2023 | Opportunities for Quantum Acceleration of Databases: Optimization of Queries and Transaction Schedules · Proc. VLDB Endow. 2023 |
Quantum computing and quantum information › quantum algorithms
quantum speedup |
0.2 | 1 | 2023 | Opportunities for Quantum Acceleration of Databases: Optimization of Queries and Transaction Schedules · Proc. VLDB Endow. 2023 |
Methods — techniques the papers use, named apart from their topics
quantum computing · 1.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Opportunities for Quantum Acceleration of Databases: Optimization of Queries and Transaction SchedulesabstractThe capabilities of quantum computers, such as the number of supported qubits and maximum circuit depth, have grown exponentially in recent years. Commercially relevant applications that take advantage of quantum computing are expected to be available soon. In this paper, we shed light on the possibilities of accelerating database tasks using quantum computing with examples of optimizing queries and transaction schedules and present some open challenges for future studies in the field. Umut Çalikyilmaz, Sven Groppe, Jinghua Groppe, Tobias Winker, Stefan Prestel, Farida Shagieva, Daanish Arya, Florian Preis, Le Gruenwald |
Proc. VLDB Endow. | 8 |