EconPapers    
Economics at your fingertips  
 

Complete classification of steerability under local filters and its relation with measurement incompatibility

Huan-Yu Ku, Chung-Yun Hsieh (), Shin-Liang Chen (), Yueh-Nan Chen () and Costantino Budroni
Additional contact information
Huan-Yu Ku: National Cheng Kung University
Chung-Yun Hsieh: ICFO – Institut de Ciéncies Fotóniques, The Barcelona Institute of Science and Technology
Shin-Liang Chen: National Cheng Kung University
Yueh-Nan Chen: National Cheng Kung University
Costantino Budroni: University of Vienna

Nature Communications, 2022, vol. 13, issue 1, 1-9

Abstract: Abstract Quantum steering is a central resource for one-sided device-independent quantum information. It is manipulated via one-way local operations and classical communication, such as local filtering on the trusted party. Here, we provide a necessary and sufficient condition for a steering assemblage to be transformable into another via local filtering. We characterize the equivalence classes with respect to filters in terms of the steering equivalent observables (SEO), first proposed to connect the problem of steerability and measurement incompatibility. We provide an efficient method to compute the extractable steerability that is maximal via local filters and show that it coincides with the incompatibility of the SEO. Moreover, we show that there always exists a bipartite state that provides an assemblage with steerability equal to the incompatibility of the measurements on the untrusted party. Finally, we investigate the optimal success probability and rates for transformation protocols (distillation and dilution) in the single-shot scenario together with examples.

Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-022-32466-y Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-32466-y

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-022-32466-y

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-32466-y