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20172026
most citedAn All-Pair Quantum SVM Approach for Big Data Multiclass Classification

38 citations · 65 across the 16 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CR2024★ 4 cited

Strategic Roadmap for Quantum- Resistant Security: A Framework for Preparing Industries for the Quantum Threat

Arit Kumar Bishwas, Mousumi Sen

As quantum computing continues to advance, its ability to compromise widely used cryptographic systems projects a significant challenge to modern cybersecurity. This paper outlines…

cs.LG2024

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 +1

Deep learning models have achieved tremendous success in most of the industries in recent years. The evolution of these models has also led to an increase in the model size and ene…

quant-ph2024

Investigation into the Potential of Parallel Quantum Annealing for Simultaneous Optimization of Multiple Problems: A Comprehensive Study

Arit Kumar Bishwas, Anuraj Som, Saurabh Choudhary

Parallel Quantum Annealing is a technique to solve multiple optimization problems simultaneously. Parallel quantum annealing aims to optimize the utilization of available qubits on…

quant-ph2024

Comparative analysis of diverse methodologies for portfolio optimization leveraging quantum annealing techniques

Zhijie Tang, Alex Lu Dou, Arit Kumar Bishwas

Portfolio optimization (PO) is extensively employed in financial services to assist in achieving investment objectives. By providing an optimal asset allocation, PO effectively bal…

quant-ph2024★ 1 cited

Molecular unfolding formulation with enhanced quantum annealing approach

Arit Kumar Bishwas, Arish Pitchai, Anuraj Som

Molecular docking is a crucial phase in drug discovery, involving the precise determination of the optimal spatial arrangement between two molecules when they bind. The such analys…