Arnav Das

University of Calcutta — India

Computer Science · Physical Sciences

5h-index62citations32works1.32yr avg
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Research Topics

Quantum Computing Algorithms and Architecture(11), Quantum Information and Cryptography(9), Quantum-Dot Cellular Automata(5), Natural Language Processing Techniques(4), Theoretical and Computational Physics(3)

Publications32 total

A Layered Blockchain Architecture for Unbiased and Trustworthy Internet Voting Systems
2025
Quantum Circuit Synthesis of an Approximate Hybrid Kolmogorov-Arnold Network
2025
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation
2025
A near-term quantum simulation of the transverse field Ising model hints at glassy dynamics
The European Physical Journal Special Topics·2025· 6 citedOpen Access
PRimuS: Pretraining IMU Encoders with Multimodal Self-Supervision
2025· 2 cited
Fast Classical Simulation of Qubit-Qudit Hybrid Systems: Optimizing Efficiency in Classical Simulation of Multilevel Quantum Systems [Focus: Quantum Software and Its Engineering]
IEEE Software·2025
Graph Coarsening Approach to the Vehicle Routing Problem: An Approximation Strategy
IEEE Access·2025Open Access
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation
arXiv (Cornell University)·2024Open Access
PRIMUS: Pretraining IMU Encoders with Multimodal Self-Supervision
arXiv (Cornell University)·2024Open Access
Pre-Quantum to Post-Quantum Cryptography Transition
Advances in mechatronics and mechanical engineering (AMME) book series·2024· 1 cited
Fast classical simulation of qubit-qudit hybrid systems
arXiv (Cornell University)·2024Open Access
How Many Images Does It Take? Estimating Imitation Thresholds in Text-to-Image Models
arXiv (Cornell University)·2024Open Access
Prompting Foundational Models for Omni-supervised Instance Segmentation
2024· 2 cited
FragQC: An efficient quantum error reduction technique using quantum circuit fragmentation
Journal of Systems and Software·2024· 6 cited
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models
arXiv (Cornell University)·2024Open Access
An End-to-End Submodular Framework for Data-Efficient In-Context Learning
2024· 3 citedOpen Access
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models
2024· 2 citedOpen Access
Effective Backdoor Mitigation in Vision-Language Models Depends on the Pre-training Objective
arXiv (Cornell University)·2023Open Access
FragQC: An Efficient Quantum Error Reduction Technique using Quantum Circuit Fragmentation
arXiv (Cornell University)·2023Open Access
Accelerating Batch Active Learning Using Continual Learning Techniques
arXiv (Cornell University)·2023· 3 citedOpen Access
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Frequent Co-authors

Turbasu Chatterjee(12), Amlan Chakrabarti(9), Gantavya Bhatt(7), Jeff Bilmes(7), Shah Ishmam Mohtashim(6), Amit Saha(5), Anupam Chattopadhyay(4), Lilly Kumari(3), Amit Saha(3), Subhayu Kumar Bala(2), Susmita Sur‐Kolay(2), Shreyas Bapat(2), Ritwik Saha(2), Bhavya Bhatt(2), Shilpi Jain(2), Akshita Jain(2), Sofía Ortín Vela(2), Priyanshu Khandelwal(2), Jyotirmaya Shivottam(2), Jialin Ma(2)