A Demonstration of Q2O: Quantum-augmented Query Optimizer
Summary: First operational hybrid quantum–classical join-order optimizer integrated with a real DBMS (Q2O), mitigating penalty-term encoding overhead and moving beyond simulation. Interactive demo compares plans with PostgreSQL and exposes quantum parameters; shows up to 13× runtime speedups. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Hanwen Liu
- 2. Federico Spedalieri
- 3. Ibrahim Sabek
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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 | 0.0040449103 |
| 71 | How Good Are Query Optimizers, Really? | 2016 | VLDB | 0.00059038975 |
| 5,626 | Ready to Leap (by Co-Design)? Join Order Optimisation on Quantum Hardware | 2023 | SIGMOD | 5.4044935e-05 |
| 7,486 | Quantum-Inspired Digital Annealing for Join Ordering | 2024 | VLDB | 4.7180617e-05 |
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