Quantum Data Management in the NISQ Era: Extended Version

2024-09-21

AI Summary

To address the absence of quantum data management caused by fragile, limited-scale qubits in the Noisy Intermediate-Scale Quantum (NISQ) era, this paper introduces the first systematic quantum data management framework tailored for NISQ hardware. Methodologically, it integrates quantum information theory, database principles, and NISQ-specific hardware constraints to formally characterize the intrinsic properties of quantum data, and proposes noise-aware metadata management, quantum state representation mechanisms, and a quantum–classical hybrid data interface. The core contribution is the establishment of a “quantum-first” data management paradigm, along with the first NISQ-adapted quantum data management roadmap—filling a critical gap in the quantum computing systems software stack by providing foundational infrastructure for quantum data organization, access, and interoperability. This work delivers both theoretical grounding and practical implementation guidance for near-term quantum data management.

Technology Category

• Machine Learning: Quantum Machine Learning
• Data Mining & Knowledge Management: Intelligent Query Processing
• Search and Optimization: Distributed Search

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Data management and stream processing for Web, mobile and wireless applications
• Security and Privacy: Data transparency and provenance
• Semantics and Knowledge: Provenance, trust, security and privacy, and ethical issues in managing semantic data

Abstract

Quantum computing has emerged as a promising tool for transforming the landscape 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.

Problem

• Addressing quantum data management challenges in NISQ era
• Differentiating quantum data from classical data paradigms
• Charting future research for quantum-oriented data management

Innovation

• Quantum data management in NISQ era
• Addressing fragile qubits challenges
• Future paradigms for quantum computing