Hybrid classical-quantum autoencoder for anomaly detection

Alona Sakhnenko; Corey O’Meara; Kumar Ghosh; Christian B. Mendl; G. Cortiana; Juan Bernabé-Moreno

doi:10.1007/s42484-022-00075-z

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JOURNAL ARTICLE

Hybrid classical-quantum autoencoder for anomaly detection

Alona Sakhnenko Corey O’Meara Kumar Ghosh Christian B. Mendl G. Cortiana Juan Bernabé-Moreno

Year: 2022 Journal: Quantum Machine Intelligence Vol: 4 (2) Publisher: Springer Science+Business Media

DOI: 10.1007/s42484-022-00075-z

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Keywords:

Autoencoder Anomaly detection Bottleneck Computer science Outlier Pattern recognition (psychology) Quantum Benchmarking Anomaly (physics) Artificial intelligence Power (physics) Algorithm Data mining Physics Deep learning Quantum mechanics

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Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Adversarial Robustness in Machine Learning

Physical Sciences → Computer Science → Artificial Intelligence

Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Hybrid classical-quantum autoencoder for anomaly detection

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