Arnav Das

According to our database, Arnav Das authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

FragQC: An efficient quantum error reduction technique using quantum circuit fragmentation.

Saikat Basu, Arnav Das, Amit Saha, Amlan Chakrabarti, Susmita Sur-Kolay

J. Syst. Softw., 2024

Fast classical simulation of qubit-qudit hybrid systems.

Haemanth Velmurugan, Arnav Das, Turbasu Chatterjee, Amit Saha, Anupam Chattopadhyay, Amlan Chakrabarti

CoRR, 2024

How Many Van Goghs Does It Take to Van Gogh? Finding the Imitation Threshold.

Sahil Verma, Royi Rassin, Arnav Das, Gantavya Bhatt, Preethi Seshadri, Chirag Shah, Jeff A. Bilmes, Hannaneh Hajishirzi, Yanai Elazar

CoRR, 2024

Deep Submodular Peripteral Networks.

Gantavya Bhatt, Arnav Das, Jeff A. Bilmes

CoRR, 2024

An End-to-End Submodular Framework for Data-Efficient In-Context Learning.

Lilly Kumari, Shengjie Wang, Arnav Das, Tianyi Zhou, Jeff A. Bilmes

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

2023

QuDiet: A classical simulation platform for qubit-qudit hybrid quantum systems.

Turbasu Chatterjee, Arnav Das, Subhayu Kumar Bala, Amit Saha, Anupam Chattopadhyay, Amlan Chakrabarti

IET Quantum Commun., December, 2023

RadarHD: Demonstrating Lidar-like Point Clouds from mmWave Radar.

Akarsh Prabhakara, Tao Jin, Arnav Das, Gantavya Bhatt, Lilly Kumari, Elahe Soltanaghai, Jeff A. Bilmes, Swarun Kumar, Anthony Rowe

Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023

High Resolution Point Clouds from mmWave Radar.

Akarsh Prabhakara, Tao Jin, Arnav Das, Gantavya Bhatt, Lilly Kumari, Elahe Soltanaghai, Jeff A. Bilmes, Swarun Kumar, Anthony Rowe

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Qurzon: A Prototype for a Divide and Conquer-Based Quantum Compiler for Distributed Quantum Systems.

Turbasu Chatterjee, Arnav Das, Shah Ishmam Mohtashim, Amit Saha, Amlan Chakrabarti

SN Comput. Sci., 2022

2020

Physics-inspired deep learning to characterize the signal manifold of quasi-circular, spinning, non-precessing binary black hole mergers.

Asad Khan, Eliu A. Huerta, Arnav Das

CoRR, 2020