Artificial Intelligence and Machine Learning for Quantum Technologies
This is an incremental perspective article that reviews existing applications of AI/ML in quantum technologies, identifying challenges and future possibilities without introducing new methods.
The paper explores how machine learning and artificial intelligence are being applied to enhance quantum technologies, such as analyzing measurements, estimating device parameters, and improving quantum computing, communication, and simulation, though it does not provide specific numerical results.
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.