[Keynote at QDSM 2024 workshop@ VLDB24] Quantum Data Management in the NISQ Era

Abstract

Quantum computing has emerged as a promising tool for transforming the future paradigm of data management. Classical problems in database domains, including query optimization, data integration, and transaction management, have recently been addressed using techniques from quantum computing. This talk will provide a comprehensive overview of current research efforts leveraging quantum technologies to address these classical database issues. We will also explore a less studied but equally crucial direction: data management for quantum computing. We are currently in the Noisy Intermediate-Scale Quantum (NISQ) era, characterized by qubits that, while promising, are fragile and still limited in scale. We will discuss the data management and engineering challenges posed by these near-term quantum processors and innovative strategies that can facilitate the integration of quantum computing into existing data management frameworks. By bridging the gap between classical database problems and the emerging needs of quantum computing, this talk aims to shed light on the synergies and potential advancements at this interdisciplinary frontier.

Rihan Hai

Assistant professor

My research focuses on data integration and related dataset discovery in large-scale data lakes.