Machine learning & artificial intelligence in the quantum domain: a review of recent progress

Vedran Dunjko, Hans J Briegel
2018 Reports on progress in physics (Print)  
Quantum information technologies, on the one side, and intelligent learning systems, on the other, are both emergent technologies that will likely have a transforming impact on our society in the future. The respective underlying fields of basic researchquantum information (QI) versus machine learning and artificial intelligence (AI) -have their own specific questions and challenges, which have hitherto been investigated largely independently. However, in a growing body of recent work,
more » ... rs have been probing the question to what extent these fields can indeed learn and benefit from each other. QML explores the interaction between quantum computing and machine learning, investigating how results and techniques from one field can be used to solve the problems of the other. In recent time, we have witnessed significant breakthroughs in both directions of influence. For instance, quantum computing is finding a vital application in providing speed-ups for machine learning problems, critical in our "big data" world. Conversely, machine learning already permeates many cutting-edge technologies, and may become instrumental in advanced quantum technologies. Aside from quantum speed-up in data analysis, or classical machine learning optimization used in quantum experiments, quantum enhancements have also been (theoretically) demonstrated for interactive learning tasks, highlighting the potential of quantum-enhanced learning agents. Finally, works exploring the use of artificial intelligence for the very design of quantum experiments, and for performing parts of genuine research autonomously, have reported their first successes. Beyond the topics of mutual enhancement -exploring what ML/AI can do for quantum physics, and vice versa -researchers have also broached the fundamental issue of quantum generalizations of learning and AI concepts. This deals with questions of the very meaning of learning and intelligence in a world that is fully described by quantum mechanics. In this review, we describe the main ideas, recent developments, and progress in a broad spectrum of research investigating machine learning and artificial intelligence in the quantum domain.
doi:10.1088/1361-6633/aab406 pmid:29504942 fatcat:mub6kfcmnrgnpebtbf35lycyly