Journal
QUANTUM SCIENCE AND TECHNOLOGY
Volume 4, Issue 4, Pages -Publisher
IOP PUBLISHING LTD
DOI: 10.1088/2058-9565/ab4eb5
Keywords
quantum computing; quantum machine learning; hybrid quantum-classical systems; noisy intermediate-scale quantum technology
Funding
- UKEngineering and Physical Sciences Research Council (EPSRC)
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Hybrid quantum-classical systems make it possible to utilize existing quantum computers to their fullest extent. Within this framework, parameterized quantum circuits can be regarded as machine learning models with remarkable expressive power. This Review presents the components of these models and discusses their application to a variety of data-driven tasks, such as supervised learning and generative modeling. With an increasing number of experimental demonstrations carried out on actual quantum hardware and with software being actively developed, this rapidly growing field is poised to have a broad spectrum of real-world applications.
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