Quantum Data Management in the NISQ Era
Rihan Hai (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Shih Han Hung (TU Delft - Mechanical Engineering, National Taiwan University)
Tim Coopmans (TU Delft - QID/Elkouss Group, TU Delft - Communication QuTech)
Tim Littau (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Floris Geerts (Universiteit Antwerpen)
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Abstract
Quantum computing has emerged as a transformative force in the evolution of computing technology. Recent efforts have applied quantum techniques to classical database challenges, such as query optimization, data integration, index selection, and transaction management. In this paper, we shift focus to a critical yet underexplored area: data management for quantum computing. We are currently in the noisy intermediate-scale quantum (NISQ) era, where qubits, while promising, are fragile and still limited in scale. After differentiating quantum data from classical data, we outline current and future data management paradigms in the NISQ era and beyond. We address the data management challenges arising from the emerging demands of near-term quantum computing. Our goal is to chart a clear course for future quantum-oriented data management research, establishing it as a cornerstone for the advancement of quantum computing in the NISQ era.
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