QFusion: A Demonstration of Boundary-Aware Fusion Planning and Execution for Large-Scale QUBO Optimization
Summary: QFusion is a DBMS-inspired, cost-based framework that plans boundary-aware fusion of decomposed QUBOs on an actual quantum annealer. Its interactive demonstration covers join ordering, multiple-query optimization, and index selection, exposing decomposition–fusion tradeoffs. (summarized by gpt-5.6-luna on Aug 28 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Hanwen Liu (University of Southern California)
- 2. Ibrahim Sabek (University of Southern California)
BibTeX Citation
@article{liu_vldb26,
title = {{QFusion: A Demonstration of Boundary-Aware Fusion Planning and Execution for Large-Scale QUBO Optimization}},
author = {Liu, Hanwen and Sabek, Ibrahim},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {12},
pages = {4826--4829},
doi = {10.14778/3827998.3828132},
url = {https://doi.org/10.14778/3827998.3828132},
year = {2026}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,883 | QDBO: A Real-time Quantum-augmented Database System Optimizer | 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 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 3,226 | Opportunities for Quantum Acceleration of Databases: Optimization of Queries and Transaction Schedules | 2023 | VLDB |
| 2 | 2,771 | Multiple Query Optimization on the D-Wave 2X Adiabatic Quantum Computer | 2016 | VLDB |
| 3 | 7,402 | Large-Scale Multiple Query Optimisation with Incremental Quantum(-Inspired) Annealing | 2026 | SIGMOD |
| 4 | 5,908 | Quantum-Inspired Digital Annealing for Join Ordering | 2024 | VLDB |
| 5 | 11,030 | How Can Quantum Computing and Databases Meet "in Practice"? From Algorithms to Systems | 2026 | VLDB |
| 6 | 4,404 | Ready to Leap (by Co-Design)? Join Order Optimisation on Quantum Hardware | 2023 | SIGMOD |
| 7 | 10,883 | QDBO: A Real-time Quantum-augmented Database System Optimizer | 2026 | VLDB |
| 8 | 8,665 | Applicability of Quantum Computing on Database Query Optimization | 2022 | SIGMOD |
| 9 | 8,339 | Solving Hard Variants of Database Schema Matching on Quantum Computers | 2023 | VLDB |
| 10 | 11,421 | A Demonstration of Q^2O: Quantum-augmented Query Optimizer | 2025 | VLDB |