量子机器学习
量子计算机
物理
量子
容错
领域(数学)
量子算法
比例(比率)
人工智能
机器学习
计算机科学
计算机工程
理论计算机科学
分布式计算
量子力学
数学
纯数学
标识
DOI:10.1088/1361-6633/ad7f69
摘要
Abstract Quantum machine learning, which involves running machine learning algorithms on quantum devices, has garnered significant attention in both academic and business circles. In this paper, we offer a comprehensive and unbiased review of the various concepts that have emerged in the field of quantum machine learning. This includes techniques used in Noisy Intermediate-Scale Quantum (NISQ) technologies and approaches for algorithms compatible with fault-tolerant quantum computing hardware. Our review covers fundamental concepts, algorithms, and the statistical learning theory pertinent to quantum machine learning.
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