Arkopal Dutt

18 papers A* 4A 1Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2026 A conf
Classical and Quantum Polynomial Freiman-Ruzsa Algorithms.
ITCS
Srinivasan Arunachalam, Davi Castro-Silva, Arkopal Dutt, Tom Gur
2025 J jnl
Algorithmic Polynomial Freiman-Ruzsa Theorems.
Electron. Colloquium Comput. Complex.
Srinivasan Arunachalam, Davi Castro-Silva, Arkopal Dutt, Tom Gur
2025 J jnl
Efficiently learning depth-3 circuits via quantum agnostic boosting.
CoRR
Srinivasan Arunachalam, Arkopal Dutt, Alexandru Gheorghiu, Michael de Oliveira
2025 J jnl
Learning stabilizer structure of quantum states.
CoRR
Srinivasan Arunachalam, Arkopal Dutt
2025 A* conf
Polynomial-Time Tolerant Testing Stabilizer States.
STOC
Srinivasan Arunachalam, Arkopal Dutt
2025 A* conf
Testing and Learning Structured Quantum Hamiltonians.
STOC
Srinivasan Arunachalam, Arkopal Dutt, Francisco Escudero Gutiérrez
2024 J jnl
A note on polynomial-time tolerant testing stabilizer states.
CoRR
Srinivasan Arunachalam, Sergey Bravyi, Arkopal Dutt
2024 A* conf
Learning Low-Degree Quantum Objects.
ICALP
Srinivasan Arunachalam, Arkopal Dutt, Francisco Escudero Gutiérrez, Carlos Palazuelos
2024 J jnl
Learning low-degree quantum objects.
CoRR
Srinivasan Arunachalam, Arkopal Dutt, Francisco Escudero Gutiérrez, Carlos Palazuelos
2024 J jnl
Testing and learning structured quantum Hamiltonians.
CoRR
Srinivasan Arunachalam, Arkopal Dutt, Francisco Escudero Gutiérrez
2024 J jnl
Tolerant testing stabilizer states.
CoRR
Srinivasan Arunachalam, Arkopal Dutt
2023 — conf
Optimal Algorithms for Learning Quantum Phase States.
TQC
Srinivasan Arunachalam, Sergey Bravyi, Arkopal Dutt, Theodore J. Yoder
2022 J jnl
Optimal algorithms for learning quantum phase states.
CoRR
Srinivasan Arunachalam, Sergey Bravyi, Arkopal Dutt, Theodore J. Yoder
2021 J jnl
Active Learning of Quantum System Hamiltonians yields Query Advantage.
CoRR
Arkopal Dutt, Edwin Pednault, Chai Wah Wu, Sarah Sheldon, John A. Smolin, Lev Bishop, Isaac L. Chuang
2021 A* conf
Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics.
ICML
Arkopal Dutt, Andrey Y. Lokhov, Marc Vuffray, Sidhant Misra
2021 J jnl
Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics.
CoRR
Arkopal Dutt, Andrey Y. Lokhov, Marc Vuffray, Sidhant Misra
2021 J jnl
PySPH: A Python-based Framework for Smoothed Particle Hydrodynamics.
ACM Trans. Math. Softw.
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
2019 J jnl
PySPH: a Python-based framework for smoothed particle hydrodynamics.
CoRR
Prabhu Ramachandran, Kunal Puri, Aditya Bhosale, A. Dinesh, Abhinav Muta, Pawan Negi, Rahul Govind, Suraj Sanka, Pankaj Pandey, Chandrashekhar Kaushik, Anshuman Kumar, Ananyo Sen, Rohan Kaushik, Mrinalgouda Patil, Deep Tavker, Dileep Menon, Vikas Kurapati, Amal S. Sebastian, Arkopal Dutt, Arpit Agarwal