Parameterized steering criteria via correlation matrices
arXiv:2312.05729 · doi:10.1016/j.rinp.2023.107253
Abstract
We study the steerability for arbitrary dimensional bipartite systems based on the correlation matrices given by local special unitary groups. We present families of steering criteria for bipartite quantum states in terms of parameterized correlation matrices. We show that these steering criteria may detect more steerable states than the existing steering criteria. The results are illustrated by detailed examples.
5 pages
References in corpus (10)
- Steering, Entanglement, Nonlocality, and the EPR Paradox
- Experimental criteria for steering and the Einstein-Podolsky-Rosen paradox
- Einstein-Podolsky-Rosen steering provides the advantage in entanglement-assisted subchannel discrimination with one-way measurements
- Multipartite Einstein-Podolsky-Rosen steering and genuine tripartite entanglement with optical networks
- Analog of the Clauser-Horne-Shimony-Holt inequality for steering
- A family of multipartite separability criteria based on correlation tensor
- Improved Separability Criteria Based on Bloch Representation of Density Matrices
- Einstein-Podolsky-Rosen steering based on semi-supervised machine learning
- Detected the steerability bounds of the generalized Werner states via BackPropagation neural network
- A Family of Bipartite Separability Criteria Based on Bloch Representation of Density Matrices