Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics. - Arkopal Dutt; Andrey Y. Lokhov; Marc Vuffray; Sidhant Misra (ICML, 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)

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; et al. (ACM Trans. Math. Softw., 2021)

Optimal Algorithms for Learning Quantum Phase States. - Srinivasan Arunachalam; Sergey Bravyi 001; Arkopal Dutt; Theodore J. Yoder (TQC, 2023)

Learning Low-Degree Quantum Objects. - Srinivasan Arunachalam; Arkopal Dutt; Francisco Escudero Gutiérrez; Carlos Palazuelos (ICALP, 2024)

Tolerant testing stabilizer states. - Srinivasan Arunachalam; Arkopal Dutt (CoRR, 2024)

A note on polynomial-time tolerant testing stabilizer states. - Srinivasan Arunachalam; Sergey Bravyi 001; Arkopal Dutt (CoRR, 2024)

Polynomial-Time Tolerant Testing Stabilizer States. - Srinivasan Arunachalam; Arkopal Dutt (STOC, 2025)

Testing and Learning Structured Quantum Hamiltonians. - Srinivasan Arunachalam; Arkopal Dutt; Francisco Escudero Gutiérrez (STOC, 2025)