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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Vydané v:	Conference on Lasers & Electro-Optics Europe & International Quantum Electronics Conference (Online) s. 1
Hlavní autori:	Li, Siqi, Zhang, Zikun, Zhu, Xun, Ou, Yanni, Xu, Kun
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 23.06.2025
Predmet:	Adaptive optics Anomaly detection Autoencoders Decoding Feature extraction Neural networks Optical computing Optical network units Quantum state Training
ISSN:	2833-1052
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