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Arit Kumar Bishwas
Arit Kumar Bishwas
PricewaterhouseCoopers Pvt Ltd
Verified email at pwc.com - Homepage
Title
Cited by
Cited by
Year
An all-pair quantum SVM approach for big data multiclass classification
AK Bishwas, A Mani, V Palade
Quantum information processing 17, 1-16, 2018
402018
Big data classification with quantum multiclass SVM and quantum one-against-all approach
AK Bishwas, A Mani, V Palade
2016 2nd International Conference on Contemporary Computing and Informatics …, 2016
252016
An investigation on support vector clustering for big data in quantum paradigm
AK Bishwas, A Mani, V Palade
Quantum Information Processing 19 (4), 108, 2020
142020
Gaussian kernel in quantum learning
AK Bishwas, A Mani, V Palade
International Journal of Quantum Information 18 (03), 2050006, 2020
102020
Quantum Supervised Clustering Algorithm for Big Data
AK Bishwas, A Mani, V Palade
2018 3rd International Conference for Convergence in Technology (I2CT), 1-5, 2018
42018
Big data quantum support vector clustering
AK Bishwas, A Mani, V Palade
arXiv preprint arXiv:1804.10905, 2018
42018
Quantum algorithm for sequence clustering
AK Bishwas, M Ashsih, V Palade
Hybrid Intelligent Techniques for Pattern Analysis and Understanding, 2017
32017
An all-pair approach for big data multiclass classification with quantum SVM
AK Bishwas, A Mani, V Palade
CoRR abs/1704.07664, 2017
32017
Molecular unfolding formulation with enhanced quantum annealing approach
AK Bishwas, A Pitchai, A Som
arXiv preprint arXiv:2403.00507, 2024
12024
Managing cyber security with quantum techniques
AK Bishwas, J Advani
2021 International Conference on Electrical, Computer and Energy …, 2021
12021
Parts of speech tagging in NLP: runtime optimization with quantum formulation and ZX calculus
AK Bishwas, A Mani, V Palade
arXiv preprint arXiv:2007.10328, 2020
12020
4. from classical to Quantum Machine Learning
AK Bishwas, A Mani, V Palade
Quantum Machine Learning 6, 67, 2020
12020
An Investigation of Quantum Deep Clustering Framework with Quantum Deep SVM & Convolutional Neural Network Feature Extractor
AK Bishwas, A Mani, V Palade
arXiv preprint arXiv:1909.09852, 2019
12019
Comprehensive Study on Performance Evaluation and Optimization of Model Compression: Bridging Traditional Deep Learning and Large Language Models
A Saxena, AK Bishwas, AA Mishra, R Armstrong
arXiv preprint arXiv:2407.15904, 2024
2024
Investigation into the Potential of Parallel Quantum Annealing for Simultaneous Optimization of Multiple Problems: A Comprehensive Study
AK Bishwas, A Som, S Choudhary
arXiv preprint arXiv:2403.05764, 2024
2024
Comparative analysis of diverse methodologies for portfolio optimization leveraging quantum annealing techniques
Z Tang, AL Dou, AK Bishwas
arXiv preprint arXiv:2403.02599, 2024
2024
Parts of Speech Tagging in NLP-an Investigation on Runtime Optimization with Quantum Formulation and ZX Calculus
AK Bishwas, A Mani, V Palade
2022 International Conference for Advancement in Technology (ICONAT), 1-5, 2022
2022
A Leap from Randomized to Quantum Clustering with Support Vector Machine-A Computation Complexity Analysis
AK Bishwas, A Mani, V Palade
2020 International Conference for Emerging Technology (INCET), 1-4, 2020
2020
Gaussian Kernel in Quantum Paradigm.
AK Bishwas, A Mani, V Palade
CoRR, 2017
2017
Team – A Project Asset Cluster - Know It and Get Known to It!
AK Bishwas
15th Annual International Software Testing Conference (STC) 2015, 2015
2015
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