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
Authors
- 1. Manuel Schönberger (Technical University of Applied Sciences Regensburg)
- 2. Immanuel Trummer (Cornell University)
- 3. Wolfgang Mauerer (Siemens; Technical University of Applied Sciences Regensburg)
BibTeX Citation
@inproceedings{schonberger_sigmod26,
title = {{Large-Scale Multiple Query Optimisation with Incremental Quantum(-Inspired) Annealing}},
author = {Schönberger, Manuel and Trummer, Immanuel and Mauerer, Wolfgang},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3749171},
url = {https://dl.acm.org/doi/10.1145/3749171},
year = {2026}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,651 | Hybrid Mixed Integer Linear Programming for Large-Scale Join Order Optimisation | 2026 | VLDB | 5.2945994e-05 |
| 10,883 | QDBO: A Real-time Quantum-augmented Database System Optimizer | 2026 | VLDB | 4.9793485e-05 |
| 11,017 | QFusion: A Demonstration of Boundary-Aware Fusion Planning and Execution for Large-Scale QUBO Optimization | 2026 | VLDB | 4.9793485e-05 |
| 11,030 | How Can Quantum Computing and Databases Meet "in Practice"? From Algorithms to Systems | 2026 | VLDB | 4.9793485e-05 |
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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 |
|---|---|---|---|---|
| 2,771 | Multiple Query Optimization on the D-Wave 2X Adiabatic Quantum Computer | 2016 | VLDB | 8.0369366e-05 |
| 3,226 | Opportunities for Quantum Acceleration of Databases: Optimization of Queries and Transaction Schedules | 2023 | VLDB | 7.5095541e-05 |
| 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 |
| 8,665 | Applicability of Quantum Computing on Database Query Optimization | 2022 | SIGMOD | 5.2922465e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 11,017 | QFusion: A Demonstration of Boundary-Aware Fusion Planning and Execution for Large-Scale QUBO Optimization | 2026 | VLDB |
| 2 | 859 | Query Optimization by Simulated Annealing | 1987 | SIGMOD |
| 3 | 3,214 | Efficient and Provable Multi-Query Optimization | 2017 | PODS |
| 4 | 11,421 | A Demonstration of Q^2O: Quantum-augmented Query Optimizer | 2025 | VLDB |
| 5 | 10,883 | QDBO: A Real-time Quantum-augmented Database System Optimizer | 2026 | VLDB |
| 6 | 3,226 | Opportunities for Quantum Acceleration of Databases: Optimization of Queries and Transaction Schedules | 2023 | VLDB |
| 7 | 4,404 | Ready to Leap (by Co-Design)? Join Order Optimisation on Quantum Hardware | 2023 | SIGMOD |
| 8 | 2,771 | Multiple Query Optimization on the D-Wave 2X Adiabatic Quantum Computer | 2016 | VLDB |
| 9 | 8,665 | Applicability of Quantum Computing on Database Query Optimization | 2022 | SIGMOD |
| 10 | 5,908 | Quantum-Inspired Digital Annealing for Join Ordering | 2024 | VLDB |