Kazuya Tsujimura

Potential of multi-anomalies detection using quantum machine learning

Machine learning is widely used for industrial anomaly detection; however, when anomaly distributions overlap, high false positive rates (FPR) often occur, hindering practical implementation. While quantum kernel methods have been proposed as a solution, the specific conditions u...