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Gönül Altay

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Open access Oct 2026

Quantum Autoencoders for Network Anomaly Detection: A Comparative Benchmark with Classical Methods

The practical value of quantum machine learning for network anomaly detection remains unclear under controlled and comparable benchmarking conditions. This study evaluates a trash-qubit-based Quantum Autoencoder (QAE) against seven classical anomaly-detection methods on UNSW-NB15 using shared data partitions, preproces...

Gönül Altay, E. Küçüksille · 0 citations

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