DBScholar

Back to papers

A Demonstration of Q^2O: Quantum-augmented Query Optimizer

Summary: Demonstrates Q^2O, the first hybrid quantum-classical query optimizer deployed in a real database for join-order optimization. Interactive scenarios compare Q^2O with PostgreSQL and expose quantum-parameter effects, yielding up to 13× faster execution. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h9aafcc9978c4d734
Venue
VLDB
Year
2025
Pagerank
4.9793485e-05
Overall Rank
11,421 | 23.22%
DOI
10.14778/3750601.3750691

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@article{liu_vldb25,
        title = {{A Demonstration of Q\^{}2O: Quantum-augmented Query Optimizer}},
        author = {Liu, Hanwen and Spedalieri, Federico and Sabek, Ibrahim},
        journal = {PVLDB},
        series = {{VLDB} '25},
        volume = {18},
        number = {12},
        pages = {5439--5443},
        doi = {10.14778/3750601.3750691},
        url = {https://doi.org/10.14778/3750601.3750691},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
1 Access Path Selection in a Relational Database Management System 1979 SIGMOD 0.0023947656
15 How Good Are Query Optimizers, Really? 2016 VLDB 0.00061066921
4,404 Ready to Leap (by Co-Design)? Join Order Optimisation on Quantum Hardware 2023 SIGMOD 6.6135132e-05
5,908 Quantum-Inspired Digital Annealing for Join Ordering 2024 VLDB 5.9506986e-05
Previous Page 1 / 1 Next

Semantically Similar Papers