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.

翻译：量子机器学习涉及在量子设备上运行机器学习算法，已在学术界和商业界引起广泛关注。本文全面且公正地综述了量子机器学习领域涌现的各种概念，包括含噪中等规模量子技术中采用的方法，以及与容错量子计算硬件兼容的算法策略。本综述涵盖了量子机器学习的基础概念、算法及相关的统计学习理论。