Index Advisors on Quantum Platforms
Summary: Hybrid quantum-classical index advisor: (1) model index selection as a QUBO solved by QAOA to produce higher-quality approximate configurations with O(log L) computations; (2) model exhaustive search solved by Grover using a novel phase-encoded oracle in standard gates achieving O(√L) queries. Qiskit-based simulation and hardware proofs show 1.5–2× quality gains over commercial greedy advisors, approach optimality, and have quantum resource requirements that scale linearly with problem size. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Manish Kesarwani (IBM; Indian Institute of Science)
- 2. Jayant R. Haritsa (Indian Institute of Science)
BibTeX Citation
@article{kesarwani_vldb24,
title = {{Index Advisors on Quantum Platforms}},
author = {Kesarwani, Manish and Haritsa, Jayant R.},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {11},
pages = {3615--3628},
doi = {10.14778/3681954.3682025},
url = {https://doi.org/10.14778/3681954.3682025},
year = {2024}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,883 | QDBO: A Real-time Quantum-augmented Database System Optimizer | 2026 | VLDB | 4.9793485e-05 |
| 11,017 | 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 |
Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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