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    Uncertainty Relations between Quantum Fisher Information and Entanglement Monotones

    Shaowei Du1,*, Shuheng Liu1,*,†, Matteo Fadel2, Giuseppe Vitagliano3, and Qiongyi He1,4,5,‡

    • 1State key Laboratory of Artificial Microstructure and Mesoscopic Physics, School of Physics, Frontiers Science Center for Nano-optoelectronics, Peking University, Beijing 100871, China
    • 2Department of Physics, ETH Zürich, 8093 Zürich, Switzerland
    • 3Vienna Center for Quantum Science and Technology, Atominstitut, TU Wien, 1020 Vienna, Austria
    • 4Collaborative Innovation Center of Extreme Optics, Shanxi University, Taiyuan, Shanxi 030006, China
    • 5Hefei National Laboratory, Hefei 230088, China

    • *These authors contributed equally to this work.
    • †Contact author: liushuheng@pku.edu.cn
    • ‡Contact author: qiongyihe@pku.edu.cn

    Phys. Rev. Lett. 136, 110806 – Published 20 March, 2026

    DOI: https://doi.org/10.1103/54mc-2yl3

    Abstract

    Entanglement is widely regarded as an essential resource for a number of tasks and can in some cases be quantified by figures of merit related to those tasks. In quantum metrology, this is showcased by the connections between the quantum Fisher information (QFI), providing a bound to the precision, and multipartite entanglement quantifiers such as the entanglement depth. However, a connection between the QFI and entanglement monotones, i.e., functions that do not increase under Local Operations and Classical Communications, has so far remained elusive. In this Letter, we fill this gap by introducing a family of uncertainty relations that bound bipartite entanglement monotones from below via elements of a quantum Fisher information matrix. To further emphasize the significance of our results, we connect these relations to the achievable precision in multiparameter estimation. Considering a system split into two parts with arbitrary dimension, we also show that, while two-dimensional entanglement is sufficient to estimate a single parameter with maximal precision, genuine high-dimensional entanglement is required for multiparameter estimation. We conclude by illustrating how our method extends naturally to a multipartite splitting.

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