Enhancing adversarial robustness of quantum neural networks by adding noise layers

Enhancing adversarial robustness of quantum neural networks by adding noise layers

The rapid advancements in machine learning and quantum computing have given rise to a new research frontier: quantum machine learning. Quantum models designed for tackling classification problems possess the potential to deliver speed enhancements and superior predictive accuracy compared to their c...

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Bibliographic Details
Main Authors:	Chenyi Huang, Shibin Zhang
Format:	Article
Language:	English
Published:	IOP Publishing 2023-01-01
Series:	New Journal of Physics
Subjects:	quantum adversarial machine learning quantum machine learning adversarial examples adversarial training
Online Access:	https://doi.org/10.1088/1367-2630/ace8b4

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