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)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,295 | Hybrid Mixed Integer Linear Programming for Large-Scale Join Order Optimisation | 2026 | VLDB | 5.1725247e-05 |
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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 |
|---|---|---|---|---|
| 3,272 | Multiple Query Optimization on the D-Wave 2X Adiabatic Quantum Computer | 2016 | VLDB | 7.6398554e-05 |
| 3,954 | Opportunities for Quantum Acceleration of Databases: Optimization of Queries and Transaction Schedules | 2023 | VLDB | 7.0656166e-05 |
| 5,564 | Ready to Leap (by Co-Design)? Join Order Optimisation on Quantum Hardware | 2023 | SIGMOD | 6.2330315e-05 |
| 7,793 | Quantum-Inspired Digital Annealing for Join Ordering | 2024 | VLDB | 5.6035684e-05 |
| 8,590 | Applicability of Quantum Computing on Database Query Optimization | 2022 | SIGMOD | 5.4669254e-05 |
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| 5,564 | Ready to Leap (by Co-Design)? Join Order Optimisation on Quantum Hardware | 2023 | SIGMOD | 6.2330315e-05 |
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