Large-Scale Multiple Query Optimisation with Incremental Quantum(-Inspired) Annealing
Summary: Incremental MQO framework that partitions large multiple-query optimization instances and reuses discarded partial solutions via dynamic search-steering, offloading subproblems to Fujitsu’s Digital Annealer (quantum-inspired annealing). Scales MQO to ~1,000 queries, substantially outperforms prior methods, and generalises to other DB workloads and future quantum accelerators. (summarized by gpt-5-mini on Feb 11 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,295 | Hybrid Mixed Integer Linear Programming for Large-Scale Join Order Optimisation | 2026 | VLDB | 4.1905499e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,152 | Opportunities for Quantum Acceleration of Databases: Optimization of Queries and Transaction Schedules | 2023 | VLDB | 7.4709765e-05 |
| 3,314 | Multiple Query Optimization on the D-Wave 2X Adiabatic Quantum Computer | 2016 | VLDB | 7.2318547e-05 |
| 5,633 | Ready to Leap (by Co-Design)? Join Order Optimisation on Quantum Hardware | 2023 | SIGMOD | 5.3993005e-05 |
| 7,486 | Quantum-Inspired Digital Annealing for Join Ordering | 2024 | VLDB | 4.7135369e-05 |
| 8,177 | Applicability of Quantum Computing on Database Query Optimization | 2022 | SIGMOD | 4.5630807e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,073 | An Incremental Anytime Algorithm for Multi-Objective Query Optimization | 2015 | SIGMOD | 5.7118738e-05 |
| 6,333 | Parallelizing Extensible Query Optimizers | 2009 | SIGMOD | 5.1013149e-05 |
| 569 | Query Optimization by Simulated Annealing | 1987 | SIGMOD | 0.00019912758 |
| 3,505 | Efficient and Provable Multi-Query Optimization | 2017 | PODS | 7.0304901e-05 |
| 10,836 | A Demonstration of Q2O: Quantum-augmented Query Optimizer | 2025 | VLDB | 4.1905499e-05 |
| 3,152 | Opportunities for Quantum Acceleration of Databases: Optimization of Queries and Transaction Schedules | 2023 | VLDB | 7.4709765e-05 |
| 5,633 | Ready to Leap (by Co-Design)? Join Order Optimisation on Quantum Hardware | 2023 | SIGMOD | 5.3993005e-05 |
| 3,314 | Multiple Query Optimization on the D-Wave 2X Adiabatic Quantum Computer | 2016 | VLDB | 7.2318547e-05 |
| 8,177 | Applicability of Quantum Computing on Database Query Optimization | 2022 | SIGMOD | 4.5630807e-05 |
| 7,486 | Quantum-Inspired Digital Annealing for Join Ordering | 2024 | VLDB | 4.7135369e-05 |