Pradeep Niroula

According to our database, Pradeep Niroula authored at least 11 papers between 2021 and 2026.

Collaborative distances:

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

2026

Digital signatures with classical shadows on near-term quantum computers.

Pradeep Niroula, Minzhao Liu, Sivaprasad Omanakuttan, David Amaro, Shouvanik Chakrabarti, Soumik Ghosh, Zichang He, Yuwei Jin, Fatih Kaleoglu, Steven Kordonowy, Rohan Kumar, Michael A. Perlin, Akshay Seshadri, Matthew Steinberg, Joseph Sullivan, Jacob Watkins, Henry Yuen, Ruslan Shaydulin

CoRR, February, 2026

The Unseen Threat: Residual Knowledge in Machine Unlearning under Perturbed Samples.

Hsiang Hsu, Pradeep Niroula, Zichang He, Ivan Brugere, Freddy Lécué, Chun-Fu Chen

CoRR, January, 2026

2025

A Unified Framework for Provably Efficient Algorithms to Estimate Shapley Values.

Tyler Chen, Akshay Seshadri, Mattia J. Villani, Pradeep Niroula, Shouvanik Chakrabarti, Archan Ray, Pranav Deshpande, Romina Yalovetzky, Marco Pistoia, Niraj Kumar

CoRR, June, 2025

GPU-Parallelizable Randomized Sketch-and-Precondition for Linear Regression using Sparse Sign Sketches.

Tyler Chen, Pradeep Niroula, Archan Ray, Pragna Subrahmanya, Marco Pistoia, Niraj Kumar

CoRR, June, 2025

Certified randomness using a trapped-ion quantum processor.

Minzhao Liu, Ruslan Shaydulin, Pradeep Niroula, Matthew DeCross, Shih-Han Hung, Wen Yu Kon, Enrique Cervero Martín, Kaushik Chakraborty, Omar Amer, Scott Aaronson, Atithi Acharya, Yuri Alexeev, K. Jordan Berg, Shouvanik Chakrabarti, Florian J. Curchod, Joan M. Dreiling, Neal Erickson, Cameron Foltz, Michael Foss-Feig, David Hayes, Travis S. Humble, Niraj Kumar, Jeffrey Larson, Danylo Lykov, Michael Mills, Steven A. Moses, Brian Neyenhuis, Shaltiel Eloul, Peter Siegfried, James Walker, Charles Lim, Marco Pistoia

Nat., April, 2025

Applications of Certified Randomness.

Omar Amer, Shouvanik Chakrabarti, Kaushik Chakraborty, Shaltiel Eloul, Niraj Kumar, Charles Lim, Minzhao Liu, Pradeep Niroula, Yash Satsangi, Ruslan Shaydulin, Marco Pistoia

CoRR, March, 2025

2024

Invited: Challenges and Opportunities of Quantum Optimization in Finance.

Zichang He, Shouvanik Chakrabarti, Dylan Herman, Niraj Kumar, Changhao Li, Pierre Minssen, Pradeep Niroula, Ruslan Shaydulin, Yue Sun, Shree Hari Sureshbabu, Romina Yalovetzky, Marco Pistoia

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2022

Efficient quantum programming using EASE gates on a trapped-ion quantum computer.

Nikodem Grzesiak, Andrii Maksymov, Pradeep Niroula, Yun Seong Nam

Quantum, 2022

Constrained Quantum Optimization for Extractive Summarization on a Trapped-ion Quantum Computer.

Pradeep Niroula, Ruslan Shaydulin, Romina Yalovetzky, Pierre Minssen, Dylan Herman, Shaohan Hu, Marco Pistoia

CoRR, 2022

2021

Quantum Machine Learning for Finance.

Marco Pistoia, Syed Farhan Ahmad, Akshay Ajagekar, Alexander Buts, Shouvanik Chakrabarti, Dylan Herman, Shaohan Hu, Andrew Jena, Pierre Minssen, Pradeep Niroula, Arthur G. Rattew, Yue Sun, Romina Yalovetzky

CoRR, 2021

Quantum Machine Learning for Finance ICCAD Special Session Paper.

Marco Pistoia, Syed Farhan Ahmad, Akshay Ajagekar, Alexander Buts, Shouvanik Chakrabarti, Dylan Herman, Shaohan Hu, Andrew Jena, Pierre Minssen, Pradeep Niroula, Arthur G. Rattew, Yue Sun, Romina Yalovetzky

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021