2 papers
quant-ph2026
QSVM-RQNN: Low-Qubit Recurrent Quantum Similarity Learning for Condition Monitoring and Fault Classification
Amit S. Patel, Himanshu R. Patel, Bikash K. Behera
In the Noisy Intermediate-Scale Quantum (NISQ) era, limited qubit availability and hardware noise constrain the practical deployment of quantum machine learning (QML). Existing qua…
quant-ph2026
Noisy-QSMOTE: Robustness Analysis of Quantum SMOTE under Quantum-Inspired Noise for Condition Monitoring and Fault Classification in Industrial and Energy Systems
Amit S. Patel, Himanshukumar R. Patel, Bikash K. Behera
Imbalanced datasets remain a major challenge in industrial condition monitoring and fault diagnosis, often causing machine-learning models to favor majority classes while underrepr…