A review of quantum machine learning algorithms, applications, and emerging advantages

Abstract Quantum Machine Learning has emerged as a promising field at the intersection of Quantum Computing and Artificial Intelligence, offering the potential to achieve computational advantages over classical machine learning approaches. While classical ML has matured into a robust ecosystem with...

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Главные авторы:	Shreeya Sanjeev Gokhale, Rishit Ravi Dhote, Radhakrishnan Delhibabu
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Springer 2026-04-01
Серии:	Discover Computing
Предметы:	Quantum machine learning (QML) Classical machine learning Variational quantum algorithms (VQAs) Quantum kernels Quantum neural networks (QNNs) Quantum generative models (QGANs)
Online-ссылка:	https://doi.org/10.1007/s10791-026-10085-1
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