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Dense Coding for Continuous Variables

Braunstein, Samuel L. and Kimble, H. J. (2000) Dense Coding for Continuous Variables. In: Quantum Information with Continuous Variables. Springer , Dordrecht, pp. 95-103. ISBN 978-90-481-6255-0. https://resolver.caltech.edu/CaltechAUTHORS:20191015-105620795

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Abstract

A scheme to achieve dense quantum coding for the quadrature amplitudes of the electromagnetic field is presented. The protocol utilizes shared entanglement provided by nondegenerate parametric down-conversion in the limit of large gain to attain high efficiency. For a constraint in the mean number of photons n̄ associated with modulation in the signal channel, the channel capacity for dense coding is found to be ln(1+n̄+n̄^2), which always beats coherent-state communication and surpasses squeezed-state communication for n̄>1. For n̄≫1, the dense coding capacity approaches twice that of either scheme.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1007/978-94-015-1258-9_10DOIArticle
https://resolver.caltech.edu/CaltechAUTHORS:BRApra00Related ItemJournal Article
Additional Information:© 2000 American Physical Society. S .L.B. was supported in part by the UK Engineering and Physical Sciences Research Council and the Royal Academy of Engineering. The work of H.J.K. is supported by DARPA via the QUIC Institute which is administered by ARO, by the Office of Naval Research, and by the National Science Foundation.
Funders:
Funding AgencyGrant Number
Engineering and Physical Sciences Research Council (EPSRC)UNSPECIFIED
Royal Academy of EngineeringUNSPECIFIED
Defense Advanced Research Projects Agency (DARPA)UNSPECIFIED
Army Research Office (ARO)UNSPECIFIED
Office of Naval Research (ONR)UNSPECIFIED
NSFUNSPECIFIED
Subject Keywords:Entangle State; Quantum Channel; Channel Capacity; Wigner Function; Quantum Teleportation
Record Number:CaltechAUTHORS:20191015-105620795
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20191015-105620795
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:99271
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:15 Oct 2019 18:22
Last Modified:15 Oct 2019 18:22

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