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Quantum Database Systems
Integrating quantum computing into data management
Can quantum hardware search the space of query plans better than classical optimizers?
Demo@VLDB 2025 | Q-data@SIGMOD 2026
Overview
[Research in progress...]
Citation
A Demonstration of Q2O: Quantum-Augmented Query Optimizer
@article{liu2025q2odemo,
author = {Liu, Hanwen and Spedalieri, Federico and Sabek, Ibrahim},
title = {A Demonstration of Q2O: Quantum-Augmented Query Optimizer},
year = {2025},
issue_date = {August 2025},
publisher = {VLDB Endowment},
volume = {18},
number = {12},
issn = {2150-8097},
url = {https://doi.org/10.14778/3750601.3750691},
doi = {10.14778/3750601.3750691},
journal = {Proc. VLDB Endow.},
month = aug,
pages = {5439–5443},
numpages = {5}
}Hybrid Quantum-Classical Optimization for Bushy Join Trees
@inproceedings{liu2025hybridquantum,
author = {Liu, Hanwen and Kumar, Abhishek and Spedalieri, Federico and Sabek, Ibrahim},
title = {Hybrid Quantum-Classical Optimization for Bushy Join Trees},
year = {2025},
isbn = {9798400719448},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3736393.3736695},
doi = {10.1145/3736393.3736695},
booktitle = {Proceedings of the 2nd Workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications},
pages = {20–24},
numpages = {5},
keywords = {Join Order, Query Optimization, Quantum Computing},
location = {
},
series = {Q-Data '25}
}