Quantum Data Management: From Theory to Opportunities
Rihan Hai, Shih-Han Hung, Sebastian Feld
TL;DR
This tutorial-level work surveys how quantum computing and the quantum internet can reshape data management, from foundational concepts to practical design directions. It maps data-management problems to quantum-compatible formulations such as $QUBO$, reviews progress on MQO and JO with both annealing and gate-based approaches (e.g., QAOA), and discusses the role of quantum nonlocality in enabling secure, distributed data systems. The authors propose a near-term research roadmap focusing on problem reformulation, hybrid quantum–classical workflows, and architecture design that accounts for qubit scarcity and noise. The study highlights future data systems connected by a quantum internet, where entanglement and no-cloning constraints drive new data models and distributed architectures with potential for significant speedups and secure communication. Overall, the work lays theoretical foundations and outlines practical avenues to leverage quantum technologies for next-generation data management and inter-network data sharing, with emphasis on both local quantum queries and remote quantum-enabled collaboration, underpinned by quantum nonlocality.
Abstract
Quantum computing has emerged as a transformative tool for future data management. Classical problems in database domains, including query optimization, data integration, and transaction management, have recently been addressed using quantum computing techniques. This tutorial aims to establish the theoretical foundation essential for enhancing methodologies and practical implementations in this line of research. Moreover, this tutorial takes a forward-looking approach by delving into recent strides in quantum internet technologies and the nonlocality theory. We aim to shed light on the uncharted territory of future data systems tailored for the quantum internet.