Ready to Leap (by Co-Design)? Join Order Optimisation on Quantum Hardware
Summary: Quantum join ordering via QUBO reformulation; first implementation with gate-based QC and quantum annealing showing speedups vs classical for small instances. Co-design analysis of QPU properties and architectural improvements to tackle NISQ limits, aiming at scalable, practical QPU-assisted query optimisation. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,954 | Opportunities for Quantum Acceleration of Databases: Optimization of Queries and Transaction Schedules | 2023 | VLDB | 7.0656166e-05 |
| 7,793 | Quantum-Inspired Digital Annealing for Join Ordering | 2024 | VLDB | 5.6035684e-05 |
| 9,486 | Solving Hard Variants of Database Schema Matching on Quantum Computers | 2023 | VLDB | 5.3246578e-05 |
| 10,023 | Large-Scale Multiple Query Optimisation with Incremental Quantum(-Inspired) Annealing | 2026 | SIGMOD | 5.1725247e-05 |
| 10,295 | Hybrid Mixed Integer Linear Programming for Large-Scale Join Order Optimisation | 2026 | VLDB | 5.1725247e-05 |
| 10,352 | A Quantum-Leap into Schema Matching: Beyond 1-to-1 Matchings | 2025 | PODS | 5.1725247e-05 |
| 10,836 | A Demonstration of Q2O: Quantum-augmented Query Optimizer | 2025 | VLDB | 5.1725247e-05 |
| 10,990 | DPconv: Super-Polynomially Faster Join Ordering | 2024 | SIGMOD | 5.1725247e-05 |
| 11,074 | Index Advisors on Quantum Platforms | 2024 | VLDB | 5.1725247e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,299 | Analysis of Two Existing and One New Dynamic Programming Algorithm for the Generation of Optimal Bushy Join Trees without Cross Products | 2006 | VLDB | 0.00011342426 |
| 1,333 | Adaptive Optimization of Very Large Join Queries | 2018 | SIGMOD | 0.00011225357 |
| 3,210 | Solving the Join Ordering Problem via Mixed Integer Linear Programming | 2017 | SIGMOD | 7.7062122e-05 |
| 3,272 | Multiple Query Optimization on the D-Wave 2X Adiabatic Quantum Computer | 2016 | VLDB | 7.6398554e-05 |
| 4,029 | Query Simplification: Graceful Degradation for Join-Order Optimization | 2009 | SIGMOD | 7.0167316e-05 |
| 4,499 | Join Query Optimization Techniques for Complex Event Processing Applications | 2018 | VLDB | 6.7244914e-05 |
| 5,529 | Efficient Massively Parallel Join Optimization for Large Queries* | 2022 | SIGMOD | 6.245845e-05 |
| 5,944 | Dependency-Aware Reordering for Parallelizing Query Optimization in Multi-Core CPUs | 2009 | SIGMOD | 6.0942682e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,486 | Solving Hard Variants of Database Schema Matching on Quantum Computers | 2023 | VLDB | 5.3246578e-05 |
| 10,352 | A Quantum-Leap into Schema Matching: Beyond 1-to-1 Matchings | 2025 | PODS | 5.1725247e-05 |
| 10,580 | Quantum Data Management in the NISQ Era | 2025 | VLDB | 5.1725247e-05 |
| 11,074 | Index Advisors on Quantum Platforms | 2024 | VLDB | 5.1725247e-05 |
| 3,954 | Opportunities for Quantum Acceleration of Databases: Optimization of Queries and Transaction Schedules | 2023 | VLDB | 7.0656166e-05 |
| 10,023 | Large-Scale Multiple Query Optimisation with Incremental Quantum(-Inspired) Annealing | 2026 | SIGMOD | 5.1725247e-05 |
| 3,272 | Multiple Query Optimization on the D-Wave 2X Adiabatic Quantum Computer | 2016 | VLDB | 7.6398554e-05 |
| 10,836 | A Demonstration of Q2O: Quantum-augmented Query Optimizer | 2025 | VLDB | 5.1725247e-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 |