Multiparameter function estimation for general Hamiltonians

Erfan Abbasgholinejad, Sean R. Muleady, Jacob Bringewatt, Lorcan O. Conlon, Alexey V. Gorshkov (May 07 2026).

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 Cramér-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.

Arxiv: https://arxiv.org/abs/2605.04136