Investigating Einstein-Podolsky-Rosen steering of continuous variable bipartite states by non-Gaussian pseudospin measurements
Yu Xiang, Buqing Xu, Ladislav Mi\v{s}ta Jr., Tommaso Tufarelli,, Qiongyi He, Gerardo Adesso

TL;DR
This paper systematically investigates EPR steering in continuous variable bipartite states using non-Gaussian pseudospin measurements, revealing regimes where such measurements outperform Gaussian ones in detecting steerability, especially under noise.
Contribution
It extends previous work by deriving density matrix elements for two-mode squeezed thermal states and analyzing the effectiveness of non-Gaussian pseudospin measurements for steering detection.
Findings
Non-Gaussian measurements can better detect steering in noisy Gaussian states.
Gaussian pseudospin observables are less sensitive than Gaussian measurements for steering.
Pseudospin measurements are more effective for non-Gaussian Werner states.
Abstract
EPR steering is an asymmetric form of correlations which is intermediate between quantum entanglement and Bell nonlocality, and can be exploited for quantum communication with one untrusted party. In particular, steering of continuous variable Gaussian states has been extensively studied as a manifestation of the EPR paradox. While most of these studies focused on quadrature measurements for steering detection, two recent works revealed that there exist Gaussian states which are only steerable by non-Gaussian measurements. In this paper we perform a systematic investigation of EPR steering of bipartite Gaussian states by pseudospin measurements, complementing and extending previous findings. We first derive the density matrix elements of two-mode squeezed thermal states in the Fock basis, which may be of independent interest. We then use such a representation to investigate steering of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
