16 citations · 21 across the 16 of their papers we have counts for
4 papers · 1 filter
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…
Quantum-Inspired Geometric Classification with Correlation Group Structures and VQC Decision Modeling
Nishikanta Mohanty, Arya Ansuman Priyadarshi, Bikash K. Behera +1
We propose a geometry-driven quantum-inspired classification framework that integrates Correlation Group Structures (CGR), compact SWAP-test-based overlap estimation, and selective…
QARIMA: A Quantum Approach To Classical Time Series Analysis
Nishikanta Mohanty, Bikash K. Behera, Badshah Mukherjee +3
We present QARIMA, a quantum state-similarity-based reconstruction of the classical ARIMA modelling pipeline. Rather than using a quantum circuit as a standalone forecaster, QARIMA…
Noise-Robust Quantum-Inspired Synthetic Minority Oversampling for Condition Monitoring and Fault Classification in Industrial and Energy Systems
Amit S. Patel, Himanshukumar R. Patel, Bikash K. Behera +3
Class imbalance remains a major challenge in industrial condition monitoring and fault classification, where minority fault patterns can be poorly represented during machine learni…