How Can Quantum Computing and Databases Meet "in Practice"? From Algorithms to Systems
Summary: A practice-oriented tutorial on the bidirectional Quantum-for-DB and DB-for-Quantum interface, spanning foundations, optimization algorithms, and DBMS integration. Includes hands-on experiments with simulators and real quantum hardware, highlighting deployment challenges. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Hanwen Liu (University of Southern California)
- 2. Yiran Li (University of Toronto)
- 3. Ibrahim Sabek (University of Southern California)
- 4. Xuanhe Zhou (Shanghai Jiao Tong University)
- 5. Hans-Arno Jacobsen (University of Toronto)
BibTeX Citation
@article{liu_vldb26,
title = {{How Can Quantum Computing and Databases Meet "in Practice"? From Algorithms to Systems}},
author = {Liu, Hanwen and Li, Yiran and Sabek, Ibrahim and Zhou, Xuanhe and Jacobsen, Hans-Arno},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {12},
pages = {4906--4911},
doi = {10.14778/3827998.3828148},
url = {https://doi.org/10.14778/3827998.3828148},
year = {2026}
}
Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,017 | QFusion: A Demonstration of Boundary-Aware Fusion Planning and Execution for Large-Scale QUBO Optimization | 2026 | VLDB | 4.9793485e-05 |
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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