Certifying ergotropy under partial information
Abstract
Ergotropy, the maximum work extractable from a quantum system, is a central resource in quantum physics. Computing ergotropy is well established when the system state is fully known, but its estimation under partial information remains an open problem. Here we introduce a general certification framework that lower bounds ergotropy using only the expectation values of a limited set of arbitrary observables. The method naturally applies in the finite-statistics regime, yielding confidence-certified bounds that explicitly incorporate shot noise. We benchmark our approach on both synthetic data and experimental measurements from an IBM quantum processor. This establishes a robust and experimentally accessible tool for certifying extractable work in realistic quantum settings.
Cite
@article{arxiv.2603.18828,
title = {Certifying ergotropy under partial information},
author = {Egle Pagliaro and Leonardo Zambrano and Mir Alimuddin and Alioscia Hamma and Antonio Acín and Donato Farina},
journal= {arXiv preprint arXiv:2603.18828},
year = {2026}
}
Comments
5 + 5 pages, 4 + 1 figures