Quantum Databases: Leveraging Quantum Computing for Advanced Queries

Authors

  • Sayantan Saha IIT Delhi, India Author

DOI:

https://doi.org/10.32628/CSEIT25112389

Keywords:

Quantum Database Systems, Quantum Error Correction, Hybrid Quantum-Classical Architecture, Quantum Search Algorithms, NISQ Computing

Abstract

This article explores the transformative potential of quantum computing in database systems, focusing on advanced query operations that traditionally challenge conventional architectures. It examines how quantum mechanical phenomena like superposition and entanglement enable unprecedented parallel processing capabilities in database operations. The article investigates key areas including pattern matching, similarity searches, and graph traversal algorithms, where quantum advantages show particular promise. It compares quantum and classical systems, addressing scalability considerations and accuracy challenges in quantum database implementations. The article delves into hybrid quantum-classical architectures and quantum native approaches, examining their respective strengths and limitations. Special attention is given to the challenges and opportunities presented by Noisy Intermediate-Scale Quantum (NISQ) devices, including hardware limitations, algorithm development, and practical integration considerations. The article provides insights into the future directions of quantum databases, emphasizing the importance of developing robust error correction mechanisms and optimizing quantum circuits for practical database operations.

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References

Gongsheng Yuan et al., "Quantum Computing for Databases: Overview and Challenges," arXiv:2405.12511v1 [cs.DB], 21 May 2024. Available: https://arxiv.org/html/2405.12511v1

Grand View Research, "Quantum Computing Market Size, Share & Trends Analysis Report By Offering (System, Services), By Deployment (On-Premises, Cloud), By Application (Simulation, Machine Learning), By End-user, By Region, And Segment Forecast, 2025 - 2030," Grand View Research Insights. Available: https://www.grandviewresearch.com/industry-analysis/quantum-computing-market

Dave Bacon et al., "Recent progress in quantum algorithms," Communications of the ACM, Volume 53, Issue 2, 2010. Available: https://dl.acm.org/doi/10.1145/1646353.1646375

ScienceDirect, "Quantum Search Algorithm," ScienceDirect. Available: https://www.sciencedirect.com/topics/mathematics/quantum-search-algorithm

Joschka Roffe, "Quantum Error Correction: An Introductory Guide," arXiv:1907.11157 [quant-ph], 2019. Available: https://arxiv.org/abs/1907.11157

ScienceDirect, "Quantum Decoherence," ScienceDirect, 1999. Available: https://www.sciencedirect.com/topics/physics-and-astronomy/quantum-decoherence

Ashley Montanaro and Ronald de Wolf, "A Survey of Quantum Property Testing," arXiv:1310.2035 [quant-ph], 2018. Available: https://arxiv.org/abs/1310.2035

Aliro, "Quantum Memories for Quantum Networks," Aliro Quantum. Available: https://www.aliroquantum.com/quantum-memories-for-quantum-networking

John Preskill, "Quantum Computing in the NISQ era and beyond," Quantum, volume 2, page 79, 2018. Available: https://quantum-journal.org/papers/q-2018-08-06-79/

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Published

05-03-2025

Issue

Section

Research Articles