Efficient computation of the Nagaoka–Hayashi bound for multiparameter estimation with separable measurements

Lorcán O. Conlon*, Jun Suzuki*, Ping Koy Lam, Syed M. Assad*

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    27 Citations (Scopus)

    Abstract

    Finding the optimal attainable precisions in quantum multiparameter metrology is a non-trivial problem. One approach to tackling this problem involves the computation of bounds which impose limits on how accurately we can estimate certain physical quantities. One such bound is the Holevo Cramér–Rao bound on the trace of the mean squared error matrix. The Holevo bound is an asymptotically achievable bound when one allows for any measurement strategy, including collective measurements on many copies of the probe. In this work, we introduce a tighter bound for estimating multiple parameters simultaneously when performing separable measurements on a finite number of copies of the probe. This makes it more relevant in terms of experimental accessibility. We show that this bound can be efficiently computed by casting it as a semidefinite programme. We illustrate our bound with several examples of collective measurements on finite copies of the probe. These results have implications for the necessary requirements to saturate the Holevo bound.

    Original languageEnglish
    Article number110
    Journalnpj Quantum Information
    Volume7
    Issue number1
    DOIs
    Publication statusPublished - Dec 2021

    Fingerprint

    Dive into the research topics of 'Efficient computation of the Nagaoka–Hayashi bound for multiparameter estimation with separable measurements'. Together they form a unique fingerprint.

    Cite this