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Efficiently evaluating Holevo, RLD and SLD Cramér-Rao bounds for multiparameter quantum estimation with Gaussian states
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  • Published: 02 March 2026

Efficiently evaluating Holevo, RLD and SLD Cramér-Rao bounds for multiparameter quantum estimation with Gaussian states

  • Chang Shoukang  ORCID: orcid.org/0000-0002-1824-16681,2,3,
  • Marco G. Genoni  ORCID: orcid.org/0000-0001-7270-47423 &
  • Francesco Albarelli  ORCID: orcid.org/0000-0001-5775-168X4,5 

Communications Physics , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Quantum information
  • Quantum metrology

Abstract

Continuous-variable Gaussian states are ubiquitous in quantum science, describing relevant regimes in optics, optomechanics, and atomic ensembles. In multiparameter quantum metrology, their ultimate precision limit is set by the Holevo Cramér-Rao bound (HCRB), which accounts for measurement incompatibility. However, evaluating the HCRB in infinite-dimensional systems is challenging due to the required optimization over Hermitian operators. Here we introduce an efficient, general method to compute the HCRB for arbitrary multimode Gaussian states by reformulating it as a semidefinite program (SDP) depending only on the first and second moments of the state and their parametric derivatives. This phase-space formulation shows that observables up to quadratic order in the canonical operators suffice to evaluate the bound. The same framework yields SDP forms of the symmetric and right logarithmic derivative (SLD and RLD) bounds and analytical results for two parameters encoded in a single-mode covariance matrix. We demonstrate the approach in two scenarios where both first and second moments vary with the parameters: simultaneous estimation of phase and loss, and joint estimation of displacement and squeezing. Our results provide conceptual insight into multiparameter estimation with Gaussian states and enable practical applications of the HCRB.

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Data availability

The data supporting the findings of this study are available from the first author upon request.

Code availability

The theoretical results are reproducible from the analytical formulas and derivations presented in the manuscript. A Jupyter notebook containing the Python code used to generate the figures is available on Github91.

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Acknowledgements

F. A. thanks Animesh Datta and Dominic Branford for fruitful discussions in the early stages of this project. M.G.G. and F.A. thank Matteo Paris and Alessio Serafini for several discussions on quantum estimation theory and Gaussian quantum states. S.C. acknowledges support by the China Scholarship Council. M.G.G. acknowledges support from MUR and Next Generation EU via the NQSTI-Spoke2-BaC project QMORE (contract no. PE00000023-QMORE). F.A. acknowledges financial support from Marie Skłodowska-Curie Action EUHORIZON-MSCA-2021PF-01 (project QECANM, grant no. 101068347).

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Authors and Affiliations

  1. School of Physics, Henan Normal University, Xinxiang, China

    Chang Shoukang

  2. MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, Shaanxi Province Key Laboratory of Quantum Information and Quantum Optoelectronic Devices, School of Physics, Xi’an Jiaotong University, Xi’an, China

    Chang Shoukang

  3. Department of Physics “A. Pontremoli”, Università degli Studi di Milano, Milano, Italy

    Chang Shoukang & Marco G. Genoni

  4. Scuola Normale Superiore, Pisa, Italy

    Francesco Albarelli

  5. Dipartimento di Scienze Matematiche, Fisiche e Informatiche, Universitá di Parma, Parma, Italy

    Francesco Albarelli

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  1. Chang Shoukang
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  2. Marco G. Genoni
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F.A. conceived the project and obtained preliminary results. S.C. performed analytical and numerical calculations. M.G.G. checked and streamlined derivations and calculations. F.A. and M.G.G. jointly supervised the project. All authors discussed the results and wrote the paper.

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Correspondence to Chang Shoukang, Marco G. Genoni or Francesco Albarelli.

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Shoukang, C., Genoni, M.G. & Albarelli, F. Efficiently evaluating Holevo, RLD and SLD Cramér-Rao bounds for multiparameter quantum estimation with Gaussian states. Commun Phys (2026). https://doi.org/10.1038/s42005-026-02550-6

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  • Received: 08 May 2025

  • Accepted: 10 February 2026

  • Published: 02 March 2026

  • DOI: https://doi.org/10.1038/s42005-026-02550-6

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