Please use this identifier to cite or link to this item: https://doi.org/10.1103/PhysRevA.81.042316
Title: Singlet generation in mixed-state quantum networks
Authors: Broadfoot, S.
Dorner, U.
Jaksch, D. 
Issue Date: 22-Apr-2010
Citation: Broadfoot, S., Dorner, U., Jaksch, D. (2010-04-22). Singlet generation in mixed-state quantum networks. Physical Review A - Atomic, Molecular, and Optical Physics 81 (4) : -. ScholarBank@NUS Repository. https://doi.org/10.1103/PhysRevA.81.042316
Abstract: We study the generation of singlets in quantum networks with nodes initially sharing a finite number of partially entangled bipartite mixed states. We prove that singlets between arbitrary nodes in such networks can be created if and only if the initial states connecting the nodes have a particular form. We then generalize the method of entanglement percolation, previously developed for pure states, to mixed states of this form. As part of this, we find and compare different distillation protocols necessary to convert groups of mixed states shared between neighboring nodes of the network into singlets. In addition, we discuss protocols that only rely on local rules for the efficient connection of two remote nodes in the network via entanglement swapping. Further improvements of the success probability of singlet generation are developed by using particular forms of "quantum preprocessing" on the network. This includes generalized forms of entanglement swapping and we show how such strategies can be embedded in regular and hierarchical quantum networks. © 2010 The American Physical Society.
Source Title: Physical Review A - Atomic, Molecular, and Optical Physics
URI: http://scholarbank.nus.edu.sg/handle/10635/112517
ISSN: 10502947
DOI: 10.1103/PhysRevA.81.042316
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

7
checked on Sep 11, 2018

WEB OF SCIENCETM
Citations

8
checked on Sep 11, 2018

Page view(s)

18
checked on May 18, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.