期刊
CONTEMPORARY PHYSICS
卷 56, 期 2, 页码 172-185出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/00107514.2014.964942
关键词
quantum machine learning; quantum computing; artificial intelligence; machine learning
资金
- South African Research Chair Initiative of the Department of Science and Technology
- National Research Foundation
Machine learning algorithms learn a desired input-output relation from examples in order to interpret new inputs. This is important for tasks such as image and speech recognition or strategy optimisation, with growing applications in the IT industry. In the last couple of years, researchers investigated if quantum computing can help to improve classical machine learning algorithms. Ideas range from running computationally costly algorithms or their subroutines efficiently on a quantum computer to the translation of stochastic methods into the language of quantum theory. This contribution gives a systematic overview of the emerging field of quantum machine learning. It presents the approaches as well as technical details in an accessible way, and discusses the potential of a future theory of quantum learning.
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