14 papers
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…
QSMOTE-PGM/kPGM: QSMOTE Based PGM and kPGM for Imbalanced Dataset Classification
Bikash K. Behera, Giuseppe Sergioli, Roberto Giuntini
Quantum-inspired machine learning (QiML) employs mathematical principles from quantum theory, such as Hilbert-space representations and quantum state discrimination, to enhance cla…
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…
Resisting Quantum Key Distribution Attacks Using Quantum Machine Learning
Ali Al-kuwari, Noureldin Mohamed, Saif Al-kuwari +2
The emergence of quantum computing poses significant risks to the security of modern communication networks as it breaks today's public-key cryptographic algorithms. Quantum Key Di…