On a quantum inspired approach to train machine learning models

On a quantum inspired approach to train machine learning models

Abstract In this work, a novel technique to train machine learning models is introduced, which is based on digital simulations of certain types of quantum systems. This represents a drastic departure from the standard approach of quantum machine learning which, to this day, is based on the use of ac...

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Bibliographic Details
Main Author: Jean Michel Sellier
Format: Article
Language:English
Published: Wiley 2023-12-01
Series:Applied AI Letters
Subjects:
artificial neural networks
machine learning
optimization problems
quantum computing
quantum inspired methods
quantum machine learning
Online Access:https://doi.org/10.1002/ail2.89

Internet

https://doi.org/10.1002/ail2.89

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