Anomaly Detection Based on Quantum Autoencoder

Quantum autoencoder (QAE) is a key tool in quantum machine learning and can be applied to areas such as dimensionality reduction and feature extraction [1]. Anomaly detection identifies deviations from normal patterns, which is crucial yet challenging due to the need to detect risks while minimizing...

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Bibliographic Details

Published in:	Conference on Lasers & Electro-Optics Europe & International Quantum Electronics Conference (Online) p. 1
Main Authors:	Li, Siqi, Zhang, Zikun, Zhu, Xun, Ou, Yanni, Xu, Kun
Format:	Conference Proceeding
Language:	English
Published:	IEEE 23.06.2025
Subjects:	Adaptive optics Anomaly detection Autoencoders Decoding Feature extraction Neural networks Optical computing Optical network units Quantum state Training
ISSN:	2833-1052
Online Access:	Get full text
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