Work

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

Year: 2026

Type: article

Abstract: Quantum estimation with continuous variable systems faces challenges in deriving accessible and practical results for practitioners. Here, the authors present a unified framework for computing multiparameter bounds for Gaussian states, demonstrating their approach through semidefinite programming, which could significantly enhance precision in quantum measurements.

Source: Communications Physics

DOI: 10.1038/s42005-026-02550-6

Authors: Chang Shoukang, Marco G. Genoni, Francesco Albarelli

Institutions: University of Milan, Henan Normal University, Xi'an Jiaotong University, University of Parma, Scuola Normale Superiore

Language: English

Topic: Quantum Information and Cryptography

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $3,990

Funders: European Commission, Ministero dell’Istruzione, dell’Università e della Ricerca, China Scholarship Council