Hybrid quantum-classical machine learning for industrial multi-anomaly detection via single acoustic sensor.
A novel workflow that leverages Quantum Kernel feature space expressiveness combined with classical dimensionality reduction techniques enables detection and visual identification of multiple simultaneous anomalies using acoustic data from a single non-contact sensor, demonstrating significant potential for industrial...