3 papers
quant-ph2026
Neural quantum support vector data description for one-class classification
Changjae Im, Hyeondo Oh, Daniel K. Park
One-class classification (OCC) is a fundamental problem in machine learning with numerous applications, such as anomaly detection and quality control. With the increasing complexit…
quant-ph2024
Schmidt quantum compressor
Israel F. Araujo, Hyeondo Oh, Nayeli A. Rodríguez-Briones +1
This work introduces the Schmidt quantum compressor, an innovative approach to quantum data compression that leverages the principles of Schmidt decomposition to encode quantum inf…
quant-ph2023
Quantum support vector data description for anomaly detection
Hyeondo Oh, Daniel K. Park
Anomaly detection is a critical problem in data analysis and pattern recognition, finding applications in various domains. We introduce quantum support vector data description (QSV…