On the Complexity of Probabilistic Trials for Hidden Satisfiability Problems. - Itai Arad; Adam Bouland; Daniel Grier; Miklos Santha; Aarthi Sundaram; Shengyu Zhang 002 (MFCS, 2016)

On the complexity of trial and error for constraint satisfaction problems. - Gábor Ivanyos; Raghav Kulkarni; Youming Qiao; Miklos Santha; Aarthi Sundaram (J. Comput. Syst. Sci., 2018)

Linear-Time Algorithm for Quantum 2SAT. - Itai Arad; Miklos Santha; Aarthi Sundaram; Shengyu Zhang 002 (Theory Comput., 2018)

Gottesman Types for Quantum Programs. - Robert Rand 001; Aarthi Sundaram; Kartik Singhal 002; Brad Lackey (QPL, 2020)

Quantum learning algorithms imply circuit lower bounds. - Srinivasan Arunachalam; Alex Bredariol Grilo; Tom Gur; Igor C. Oliveira 001; Aarthi Sundaram (Electron. Colloquium Comput. Complex., 2020)

Quantum algorithms for reinforcement learning with a generative model. - Daochen Wang; Aarthi Sundaram; Robin Kothari; Ashish Kapoor; Martin Roetteler (ICML, 2021)

Secure Software Leasing Without Assumptions. - Anne Broadbent; Stacey Jeffery; Sébastien Lord; Supartha Podder; Aarthi Sundaram (TCC (1), 2021)

Static Analysis of Quantum Programs via Gottesman Types. - Robert Rand 001; Aarthi Sundaram; Kartik Singhal 002; Brad Lackey (CoRR, 2021)

Quantum Hardness of Learning Shallow Classical Circuits. - Srinivasan Arunachalam; Alex Bredariol Grilo; Aarthi Sundaram (SIAM J. Comput., 2021)

Quantum generalizations of the polynomial hierarchy with applications to QMA(2). - Sevag Gharibian; Miklos Santha; Jamie Sikora; Aarthi Sundaram; Justin Yirka (Comput. Complex., 2022)

Object detection and estimation: A hybrid image segmentation technique using convolutional neural network model. - Aarthi Sundaram; Chitrakala Sakthivel (Concurr. Comput. Pract. Exp., 2022)

Quantum divide and conquer. - Andrew M. Childs; Robin Kothari; Matt Kovacs-Deak; Aarthi Sundaram; Daochen Wang (CoRR, 2022)

Assessing requirements to scale to practical quantum advantage. - Michael E. Beverland; Prakash Murali; Matthias Troyer; Krysta M. Svore; Torsten Hoefler; Vadym Kliuchnikov; Guang Hao Low; Mathias Soeken; Aarthi Sundaram; Alexander Vaschillo (CoRR, 2022)