An All-Pair Approach for Big Data Multiclass Classification with Quantum SVM. - Arit Kumar Bishwas; Ashish Mani; Vasile Palade (CoRR, 2017)

Gaussian Kernel in Quantum Paradigm. - Arit Kumar Bishwas; Ashish Mani; Vasile Palade (CoRR, 2017)

Big Data Quantum Support Vector Clustering. - Arit Kumar Bishwas; Ashish Mani; Vasile Palade (CoRR, 2018)

An all-pair quantum SVM approach for big data multiclass classification. - Arit Kumar Bishwas; Ashish Mani; Vasile Palade (Quantum Inf. Process., 2018)

An Investigation of Quantum Deep Clustering Framework with Quantum Deep SVM & Convolutional Neural Network Feature Extractor. - Arit Kumar Bishwas; Ashish Mani; Vasile Palade (CoRR, 2019)

Parts of Speech Tagging in NLP: Runtime Optimization with Quantum Formulation and ZX Calculus. - Arit Kumar Bishwas; Ashish Mani; Vasile Palade (CoRR, 2020)

An investigation on support vector clustering for big data in quantum paradigm. - Arit Kumar Bishwas; Ashish Mani; Vasile Palade (Quantum Inf. Process., 2020)

Molecular unfolding formulation with enhanced quantum annealing approach. - Arit Kumar Bishwas; Arish Pitchai; Anuraj Som (CoRR, 2024)

Investigation into the Potential of Parallel Quantum Annealing for Simultaneous Optimization of Multiple Problems: A Comprehensive Study. - Arit Kumar Bishwas; Anuraj Som; Saurabh Choudhary (CoRR, 2024)

Comprehensive Study on Performance Evaluation and Optimization of Model Compression: Bridging Traditional Deep Learning and Large Language Models. - Aayush Saxena; Arit Kumar Bishwas; Ayush Ashok Mishra; Ryan Armstrong (CoRR, 2024)

Strategic Roadmap for Quantum- Resistant Security: A Framework for Preparing Industries for the Quantum Threat. - Arit Kumar Bishwas; Mousumi Sen (CoRR, 2024)

Quantum-enabled framework for the Advanced Encryption Standard in the post-quantum era. - Albert Nieto Morales; Arit Kumar Bishwas; Joel Jacob Varghese (CoRR, 2025)