activity
20222026
most citedA Quantum Approach to Synthetic Minority Oversampling Technique (SMOTE)

16 citations · 21 across the 16 of their papers we have counts for

collaborators

16 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

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…

quant-ph2026

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…

quant-ph2026

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…

cs.LG2025

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…

cs.CR2025

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…

quant-ph2025★ 1 cited

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…

quant-ph2025

Quantum-Inspired Optimization Process for Data Imputation

Nishikanta Mohanty, Bikash K. Behera, Badshah Mukherjee +2

Data imputation is a critical preprocessing step, particularly in clinical datasets where missingness can bias downstream inference. We propose a quantum-inspired imputation framew…

quant-ph2025

QFDNN: A Resource-Efficient Variational Quantum Feature Deep Neural Networks for Fraud Detection and Loan Prediction

Subham Das, Ashtakala Meghanath, Bikash K. Behera +3

Social financial technology focuses on trust, sustainability, and social responsibility, which require advanced technologies to address complex financial tasks in the digital era.…

quant-ph2025★ 1 cited

A Blockchain-based Quantum Binary Voting for Decentralized IoT Towards Industry 5.0

Utkarsh Azad, Bikash K. Behera, Houbing Song +1

Industry 5.0 depends on intelligence, automation, and hyperconnectivity operations for effective and sustainable human-machine collaboration. Pivotal technologies like the Internet…

quant-ph2025

Quantum SMOTE with Angular Outliers: Redefining Minority Class Handling

Nishikanta Mohanty, Bikash K. Behera, Christopher Ferrie

This paper introduces Quantum-SMOTEV2, an advanced variant of the Quantum-SMOTE method, leveraging quantum computing to address class imbalance in machine learning datasets without…

cs.CL2025

SentiQNF: A Novel Approach to Sentiment Analysis Using Quantum Algorithms and Neuro-Fuzzy Systems

Kshitij Dave, Nouhaila Innan, Bikash K. Behera +3

Sentiment analysis is an essential component of natural language processing, used to analyze sentiments, attitudes, and emotional tones in various contexts. It provides valuable in…

quant-ph2025

QNN-VRCS: A Quantum Neural Network for Vehicle Road Cooperation Systems

Nouhaila Innan, Bikash K. Behera, Saif Al-Kuwari +1

The escalating complexity of urban transportation systems, exacerbated by factors such as traffic congestion, diverse transportation modalities, and shifting commuter preferences,…

quant-ph2025★ 1 cited

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…

quant-ph2024★ 16 cited

A Quantum Approach to Synthetic Minority Oversampling Technique (SMOTE)

Nishikanta Mohanty, Bikash K. Behera, Christopher Ferrie +1

The paper proposes the Quantum-SMOTE method, a novel solution that uses quantum computing techniques to solve the prevalent problem of class imbalance in machine learning datasets.…

quant-ph2022★ 2 cited

Design and Simulation of an Autonomous Quantum Flying Robot Vehicle: An IBM Quantum Experience

Sudev Pradhan, Anshuman Padhi, Bikash Kumar Behera

The application of quantum computation and information in robotics has caught the attention of researchers off late. The field of robotics has always put its effort on the minimiza…