Multiparameter function estimation for general Hamiltonians
Abstract
Estimation of physical parameters encoded in a Hamiltonian is a central task in quantum sensing and learning. While the ultimate precision limit for estimating a single parameter coupled to a single generator is well established, the corresponding bound for estimating a function of multiple parameters-each coupled to distinct and possibly non-commuting generators-remains unknown in general. Here, we derive the ultimate quantum limit and present an estimation protocol for any function of parameters in a general Hamiltonian that attains this bound. We show that, although the task is fundamentally a multiparameter problem, our tight bound reduces to an optimized single-parameter quantum Cram\'er-Rao bound, even for arbitrary generator sets. Our result unifies and extends previous works, providing a general framework for optimal function estimation in quantum systems.
Cite
@article{arxiv.2605.04136,
title = {Multiparameter function estimation for general Hamiltonians},
author = {Erfan Abbasgholinejad and Sean R. Muleady and Jacob Bringewatt and Lorcan O. Conlon and Alexey V. Gorshkov},
journal= {arXiv preprint arXiv:2605.04136},
year = {2026}
}
Comments
7+13 pages, 1 table