Applicability of Quantum Computing on Database Query Optimization
Summary: Quantum computing for database query optimization: evaluation of join order and MQO on gate-based QCs and quantum annealers. Gate-based MQO needs architecture-specific adaptations; a multi-step join-order reformulation is proposed and tested, identifying current limitations and future potential. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Manuel Schönberger (Technical University of Applied Sciences Regensburg)
BibTeX Citation
@inproceedings{schonberger_sigmod22,
title = {{Applicability of Quantum Computing on Database Query Optimization}},
author = {Schönberger, Manuel},
series = {{SIGMOD} '22},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3514221.3520257},
url = {https://dl.acm.org/doi/10.1145/3514221.3520257},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,012 | Opportunities for Quantum Acceleration of Databases: Optimization of Queries and Transaction Schedules | 2023 | VLDB | 6.9578554e-05 |
| 9,969 | Hybrid Mixed Integer Linear Programming for Large-Scale Join Order Optimisation | 2026 | VLDB | 5.1845938e-05 |
| 10,319 | Large-Scale Multiple Query Optimisation with Incremental Quantum(-Inspired) Annealing | 2026 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,158 | Solving the Join Ordering Problem via Mixed Integer Linear Programming | 2017 | SIGMOD | 7.6888079e-05 |
| 3,268 | Efficient and Provable Multi-Query Optimization | 2017 | PODS | 7.5810998e-05 |
| 3,319 | Multiple Query Optimization on the D-Wave 2X Adiabatic Quantum Computer | 2016 | VLDB | 7.5236413e-05 |
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