Opportunities and Challenges for Data Quality in the Era of Quantum Computing

TL;DR

This paper explores how quantum computing can improve data quality, especially anomaly detection, by replacing classical methods with quantum techniques, demonstrating promising results and discussing future challenges.

Contribution

It introduces quantum-based anomaly detection methods, including a practical implementation using quantum reservoir computing, and compares their effectiveness to classical approaches.

Findings

Quantum embeddings are competitive with classical ones in anomaly detection.

Quantum reservoir computing can be applied to detect stock market volatility changes.

Several challenges remain in applying quantum computing to data quality tasks.

Abstract

In an era where data underpins decision-making across science, politics, and economics, ensuring high data quality is of paramount importance. Conventional computing algorithms for enhancing data quality, including anomaly detection, demand substantial computational resources, lengthy processing times, and extensive training datasets. This work aims to explore the potential advantages of quantum computing for enhancing data quality, with a particular focus on detection. We begin by examining quantum techniques that could replace key subroutines in conventional anomaly detection frameworks to mitigate their computational intensity. We then provide practical demonstrations of quantum-based anomaly detection methods, highlighting their capabilities. We present a technical implementation for detecting volatility regime changes in stock market data using quantum reservoir computing, which is a special type of quantum machine learning model. The experimental results indicate that quantum-based embeddings are a competitive alternative to classical ones in this particular example. Finally, we identify unresolved challenges and limitations in applying quantum computing to data quality tasks. Our findings open up new avenues for innovative research and commercial applications that aim to advance data quality through quantum technologies.