Semisupervised Anomaly Detection using Support Vector Regression with Quantum Kernel

Kilian Tscharke, Sebastian Issel, Pascal Debus

Anomaly detection (AD) involves identifying observations or events that deviate in some way from the rest of the data. Machine learning techniques have shown success in automating…