Training neural networks with universal adiabatic quantum computing

The training of neural networks (NNs) is a computationally intensive task requiring significant time and resources. This article presents a novel approach to NN training using adiabatic quantum computing (AQC), a paradigm that leverages the principles of adiabatic evolution to solve optimization pro...

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Bibliographic Details

Published in:	Frontiers in Artificial Intelligence
Main Authors:	Steve Abel, Juan Carlos Criado, Michael Spannowsky
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-06-01
Subjects:	adiabatic quantum computing quantum computing neural networks binary neural networks NN training
Online Access:	https://www.frontiersin.org/articles/10.3389/frai.2024.1368569/full