Gaussian unsteerable channels and computable quantifications of Gaussian steering
Taotao Yan, Jie Guo, Jinchuan Hou, Xiaofei Qi, Kan He

TL;DR
This paper advances the resource theory of Gaussian steering by characterizing Gaussian unsteerable channels, introducing computable steering quantifiers based on covariance matrices, and analyzing their properties and implications in quantum systems.
Contribution
It introduces the class of Gaussian unsteerable channels and maximal channels, completing the resource theory for Gaussian steering and providing efficient quantification methods.
Findings
Gaussian unsteerable channels are characterized and used as free operations.
The quantifiers $\\mathcal{J}_j$ are computationally simple and rely only on covariance matrices.
Gaussian steering can decay rapidly in Markovian environments.
Abstract
The current quantum resource theory for Gaussian steering for continuous-variable systems is flawed and incomplete. Its primary shortcoming stems from an inadequate comprehension of the architecture of Gaussian channels transforming Gaussian unsteerable states into Gaussian unsteerable states, resulting in a restricted selection of free operations. In the present paper, we explore in depth the structure of such -mode Gaussian channels, and introduce the class of the Gaussian unsteerable channels and the class of maximal Gaussian unsteerable channels, both of them may be chosen as the free operations, which completes the resource theory for Gaussian steering from to by Alice's Gaussian measurements. We also propose two quantifications of -mode Gaussian steering from to . The computation of the value of is…
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Taxonomy
TopicsAdvanced Numerical Analysis Techniques
