AI RESEARCH
Quantum Autoencoder for Multivariate Time Series Anomaly Detection
arXiv CS.LG
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ArXi:2504.17548v2 Announce Type: replace-cross Anomaly Detection (AD) defines the task of identifying observations or events that deviate from typical - or normal - patterns, a critical capability in IT security for recognizing incidents such as system misconfigurations, malware infections, or cyberattacks. In enterprise environments like SAP HANA Cloud systems, this task often involves monitoring high-dimensional, multivariate time series (MTS) derived from telemetry and log data.