collaborators

7 papers

quant-ph2026

Spectrum Estimation is Almost as Hard as Tomography

Marco Fanizza, Ryan O'Donnell, Chirag Wadhwa

We study the sample complexity of estimating and testing fundamental unitarily invariant properties of unknown quantum states; namely, the tasks of spectrum estimation, von Neumann…

quant-ph2026

Optimal Quantum State Testing Even with Limited Entanglement

Chirag Wadhwa, Sitan Chen

In this work, we consider the fundamental task of quantum state certification: given copies of an unknown quantum state , test whether it matches some target state or is $…

quant-ph2026

Distributed Quantum Property Testing with Communication Constraints

Mina Doosti, Ryan Sweke, Chirag Wadhwa

We introduce a framework for distributed quantum inference under communication constraints. In our model, distributed nodes each receive one copy of an unknown -dimensional…

quant-ph2025

Agnostic Process Tomography

Chirag Wadhwa, Laura Lewis, Elham Kashefi +1

Characterizing a quantum system by learning its state or evolution is a fundamental problem in quantum physics and learning theory with a myriad of applications. Recently, as a new…

quant-ph2025

Instance-Optimal Quantum State Certification with Entangled Measurements

Ryan O'Donnell, Chirag Wadhwa

We consider the task of quantum state certification: given a description of a hypothesis state and multiple copies of an unknown state , a tester aims to determine whether…

quant-ph2025

Learning Quantum Processes with Quantum Statistical Queries

Chirag Wadhwa, Mina Doosti

In this work, we initiate the study of learning quantum processes from quantum statistical queries. We focus on two fundamental learning tasks in this new access model: shadow tomo…