Arkopal Dutt

According to our database, Arkopal Dutt authored at least 9 papers between 2021 and 2025.

Collaborative distances:

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

2025

Testing and Learning Structured Quantum Hamiltonians.

Srinivasan Arunachalam, Arkopal Dutt, Francisco Escudero Gutiérrez

Proceedings of the 57th Annual ACM Symposium on Theory of Computing, 2025

Polynomial-Time Tolerant Testing Stabilizer States.

Srinivasan Arunachalam, Arkopal Dutt

Proceedings of the 57th Annual ACM Symposium on Theory of Computing, 2025

2024

A note on polynomial-time tolerant testing stabilizer states.

Srinivasan Arunachalam, Sergey Bravyi, Arkopal Dutt

CoRR, 2024

Tolerant testing stabilizer states.

Srinivasan Arunachalam, Arkopal Dutt

CoRR, 2024

Learning Low-Degree Quantum Objects.

Srinivasan Arunachalam, Arkopal Dutt, Francisco Escudero Gutiérrez, Carlos Palazuelos

Proceedings of the 51st International Colloquium on Automata, Languages, and Programming, 2024

2023

Optimal Algorithms for Learning Quantum Phase States.

Srinivasan Arunachalam, Sergey Bravyi, Arkopal Dutt, Theodore J. Yoder

Proceedings of the 18th Conference on the Theory of Quantum Computation, 2023

2021

PySPH: A Python-based Framework for Smoothed Particle Hydrodynamics.

Prabhu Ramachandran, Aditya Bhosale, Kunal Puri, Pawan Negi, Abhinav Muta, A. Dinesh, Dileep Menon, Rahul Govind, Suraj Sanka, Amal S. Sebastian, Ananyo Sen, Rohan Kaushik, Anshuman Kumar, Vikas Kurapati, Mrinalgouda Patil, Deep Tavker, Pankaj Pandey, Chandrashekhar Kaushik, Arkopal Dutt, Arpit Agarwal

ACM Trans. Math. Softw., 2021

Active Learning of Quantum System Hamiltonians yields Query Advantage.

Arkopal Dutt, Edwin Pednault, Chai Wah Wu, Sarah Sheldon, John Smolin, Lev Bishop, Isaac L. Chuang

CoRR, 2021

Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics.

Arkopal Dutt, Andrey Y. Lokhov, Marc Vuffray, Sidhant Misra

Proceedings of the 38th International Conference on Machine Learning, 2021