Artificial Intelligence and Machine Learning for Quantum Technologies

TL;DR

This paper reviews how recent advances in artificial intelligence and machine learning are transforming quantum technologies by enhancing analysis, design, and optimization of quantum systems and protocols.

Contribution

It provides a comprehensive overview of recent applications of AI/ML in quantum science, highlighting new methods, challenges, and future directions.

Findings

Machine learning improves quantum measurement analysis.

AI aids in designing quantum experiments and protocols.

Enhanced quantum device parameter estimation achieved.

Abstract

In recent years, the dramatic progress in machine learning has begun to impact many areas of science and technology significantly. In the present perspective article, we explore how quantum technologies are benefiting from this revolution. We showcase in illustrative examples how scientists in the past few years have started to use machine learning and more broadly methods of artificial intelligence to analyze quantum measurements, estimate the parameters of quantum devices, discover new quantum experimental setups, protocols, and feedback strategies, and generally improve aspects of quantum computing, quantum communication, and quantum simulation. We highlight open challenges and future possibilities and conclude with some speculative visions for the next decade.