Semisupervised Anomaly Detection using Support Vector Regression with Quantum Kernel

1 August 2023

Papers citing "Semisupervised Anomaly Detection using Support Vector Regression with Quantum Kernel"

5 / 5 papers shown

Title
Quantum Support Vector Regression for Robust Anomaly Detection Kilian Tscharke Maximilian Wendlinger Sebastian Issel Pascal Debus AAML 30 0 0 02 May 2025
Quantum Autoencoder for Multivariate Time Series Anomaly Detection Kilian Tscharke Maximilian Wendlinger Afrae Ahouzi Pallavi Bhardwaj Kaweh Amoi-Taleghani Michael Schrödl-Baumann Pascal Debus 24 0 0 24 Apr 2025
Anomaly Detection for Real-World Cyber-Physical Security using Quantum Hybrid Support Vector Machines Tyler Cultice Md. Saif Hassan Onim Annarita Giani Himanshu Thapliyal 19 2 0 08 Sep 2024
Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly Generators Jan-Philipp Schulze Philip Sperl Konstantin Böttinger 24 4 0 12 Jan 2021
Connecting ansatz expressibility to gradient magnitudes and barren plateaus Zoë Holmes Kunal Sharma M. Cerezo Patrick J. Coles 143 423 0 06 Jan 2021