Quantum-Inspired Data Structures for Large-Scale Databases

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum-inspired data structures offer the potential to revolutionize large-scale database operations by mimicking quantum mechanical phenomena. This paper explores the concept of designing data structures that leverage superposition, entanglement, and other quantum principles to enhance lookup time and data locality, ultimately leading to substantial performance improvements. We outline a novel approach to this challenge, focusing on the design and analysis of specific data structures that directly incorporate these quantum concepts. The core claim is that these data structures, when implemented, will demonstrably outperform traditional data structures in several key database operations, particularly those involving complex queries and large datasets. This work investigates the feasibility and potential impact of this paradigm shift in database design.

DOI: 10.5281/zenodo.22298349

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