Arit Kumar Bishwas

Orcid: 0000-0001-8064-2035

According to our database1, Arit Kumar Bishwas authored at least 16 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Reducing Complexity for Quantum Approaches in Train Load Optimization.
CoRR, March, 2026

Quantum-Secure-By-Construction (QSC): A Paradigm Shift For Post-Quantum Agentic Intelligence.
CoRR, March, 2026

One Supervisor, Many Modalities: Adaptive Tool Orchestration for Autonomous Queries.
CoRR, March, 2026

2025
Towards Resource-Efficient Multimodal Intelligence: Learned Routing among Specialized Expert Models.
CoRR, November, 2025

Quantum-enabled framework for the Advanced Encryption Standard in the post-quantum era.
CoRR, February, 2025

2024
Strategic Roadmap for Quantum- Resistant Security: A Framework for Preparing Industries for the Quantum Threat.
CoRR, 2024

Comprehensive Study on Performance Evaluation and Optimization of Model Compression: Bridging Traditional Deep Learning and Large Language Models.
CoRR, 2024

Investigation into the Potential of Parallel Quantum Annealing for Simultaneous Optimization of Multiple Problems: A Comprehensive Study.
CoRR, 2024

Molecular unfolding formulation with enhanced quantum annealing approach.
CoRR, 2024

2020
An investigation on support vector clustering for big data in quantum paradigm.
Quantum Inf. Process., 2020

Parts of Speech Tagging in NLP: Runtime Optimization with Quantum Formulation and ZX Calculus.
CoRR, 2020

2019
An Investigation of Quantum Deep Clustering Framework with Quantum Deep SVM & Convolutional Neural Network Feature Extractor.
CoRR, 2019

2018
An all-pair quantum SVM approach for big data multiclass classification.
Quantum Inf. Process., 2018

Big Data Quantum Support Vector Clustering.
CoRR, 2018

2017
Gaussian Kernel in Quantum Paradigm.
CoRR, 2017

An All-Pair Approach for Big Data Multiclass Classification with Quantum SVM.
CoRR, 2017


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