11 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…
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…
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…
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…
QNN-QRL: Quantum Neural Network Integrated with Quantum Reinforcement Learning for Quantum Key Distribution
Bikash K. Behera, Saif Al-Kuwari, Ahmed Farouk
Quantum key distribution (QKD) has emerged as a critical component of secure communication in the quantum era, ensuring information-theoretic security. Despite its potential, there…
QSVM-QNN: Quantum Support Vector Machine Based Quantum Neural Network Learning Algorithm for Brain-Computer Interfacing Systems
Bikash K. Behera, Saif Al-Kuwari, Ahmed Farouk
A brain-computer interface (BCI) system enables direct communication between the brain and external devices, offering significant potential for assistive technologies and advanced…