A comprehensive review of Quantum Machine Learning: from NISQ to Fault Tolerance

arXiv:2401.11351v2 Announce Type: replace-cross
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 …

abstract academic algorithms arxiv attention business concepts cs.ai cs.lg devices machine machine learning machine learning algorithms nisq paper quant-ph quantum review running stat.ml type unbiased