DEDALUS
Data Management Using Quantum Computing Technologies
With quantum computing, efficient search across larger spaces will enable the selection of better (optimal) execution plans. Further indexing techniques that exploit quantum advantages remain largely unexplored, offering significant potential for query optimization.
Features
The main objective of this research project is to utilize quantum advantage in order to optimize a given query. We present the stages of query compilation from a top-to-bottom perspective. Throughout this process, all available compute units may be utilized, including the classical CPU, QPU, and GPU.

Query Parser
The Query Parser converts the original query into a set of equivalent Logical Query Plans.
Query Optimizer
The Query Optimizer evaluates the different logical plans and selects the most cost-effective based on the DEDALUS Cost Model.
QC-aware Indexes
Integrating specialized indexes that uses the capabilities of quantum computing.
Access Interface
Utilizing the graphical user interface (GUI) we can access to both quantum computing and data management capabilities.
Quantum Advantage

Quantum advantage will be able to reduce complexity, thus enabling search within large state spaces that are currently impossible, and ultimately producing more efficient systems.
(Figure: IBM)
Our Team

Prof. Haridimos Kondylakis
Associate Professor at CSD-UOC, Affiliated Researcher at ICS-FORTH

Prof. Dimitris Plexousakis
Director at ICS-FORTH, Professor at CSD-UOC

Prof. Vasilis Efthymiou
Assistant Professor at Harokopio University of Athens, Affiliated Researcher at ICS-FORTH

Prof. Yiannis Tzitzikas
Professor at CSD-UOC

Prof. Kostas Magoutis
Professor at CSD-UOC

Dr. George Stamatiou
Postdoctoral Researcher at ICS-FORTH

Dr. Manos Limnaios
PhD Student at CSD-UOC

Markos Stergiopoulos
BSc Graduate from CSD-UOC, R/D Engineer

Efthimis Papageorgiou
MSc Student at CSD-UOC