Hybrid Classical-Quantum Autoencoder for Anomaly Detection

We propose a Hybrid classical-quantum Autoencoder (HAE) model, which is a synergy of a classical autoencoder (AE) and a parametrized quantum circuit (PQC) that is inserted into its bottleneck. The PQC augments the latent space, on which a standard outlier detection method is applied to search for an...

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Bibliographic Details

Published in:	arXiv.org
Main Authors:	Sakhnenko, Alona, O'Meara, Corey, Ghosh, Kumar J B, Mendl, Christian B, Cortiana, Giorgio, Bernabé-Moreno, Juan
Format:	Paper
Language:	English
Published:	Ithaca Cornell University Library, arXiv.org 16.12.2021
Subjects:	Anomalies Circuits Data analysis Data points Data search Datasets Outliers (statistics) Power plants Predictive maintenance
ISSN:	2331-8422
Online Access:	Get full text
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