The University of Southampton
University of Southampton Institutional Repository

Multiple access multicarrier continuous-variable quantum key distribution

Multiple access multicarrier continuous-variable quantum key distribution
Multiple access multicarrier continuous-variable quantum key distribution

One of the most important practical realizations of the fundamentals of quantum mechanics is continuous-variable quantum key distribution (CVQKD). Here we propose the adaptive multicarrier quadrature division–multiuser quadrature allocation (AMQD–MQA) multiple access technique for continuous-variable quantum key distribution. The MQA scheme is based on the AMQD modulation, which granulates the inputs of the users into Gaussian subcarrier continuous-variables (CVs). In an AMQD–MQA multiple access scenario, the simultaneous reliable transmission of the users is handled by the dynamic allocation of the Gaussian subcarrier CVs. We propose two different settings of AMQD–MQA for multiple input-multiple output communication. We introduce a rate-selection strategy that tunes the modulation variances and allocates adaptively the quadratures of the users over the sub-channels. We also prove the rate formulas if only partial channel side information is available for the users of the sub-channel conditions. We show a technique for the compensation of a nonideal Gaussian input modulation, which allows the users to overwhelm the modulation imperfections to reach optimal capacity-achieving communication over the Gaussian sub-channels. We investigate the diversity amplification of the sub-channel transmittance coefficients and reveal that a strong diversity can be exploited by opportunistic Gaussian modulation.

0960-0779
491-505
Gyongyosi, Laszlo
bbfffd90-dfa2-4a08-b5f9-98376b8d6803
Imre, Sandor
2def242c-1cb7-4b12-8a16-351a5a36e041
Gyongyosi, Laszlo
bbfffd90-dfa2-4a08-b5f9-98376b8d6803
Imre, Sandor
2def242c-1cb7-4b12-8a16-351a5a36e041

Gyongyosi, Laszlo and Imre, Sandor (2018) Multiple access multicarrier continuous-variable quantum key distribution. Chaos, Solitons and Fractals, 114, 491-505. (doi:10.1016/j.chaos.2018.07.006).

Record type: Article

Abstract

One of the most important practical realizations of the fundamentals of quantum mechanics is continuous-variable quantum key distribution (CVQKD). Here we propose the adaptive multicarrier quadrature division–multiuser quadrature allocation (AMQD–MQA) multiple access technique for continuous-variable quantum key distribution. The MQA scheme is based on the AMQD modulation, which granulates the inputs of the users into Gaussian subcarrier continuous-variables (CVs). In an AMQD–MQA multiple access scenario, the simultaneous reliable transmission of the users is handled by the dynamic allocation of the Gaussian subcarrier CVs. We propose two different settings of AMQD–MQA for multiple input-multiple output communication. We introduce a rate-selection strategy that tunes the modulation variances and allocates adaptively the quadratures of the users over the sub-channels. We also prove the rate formulas if only partial channel side information is available for the users of the sub-channel conditions. We show a technique for the compensation of a nonideal Gaussian input modulation, which allows the users to overwhelm the modulation imperfections to reach optimal capacity-achieving communication over the Gaussian sub-channels. We investigate the diversity amplification of the sub-channel transmittance coefficients and reveal that a strong diversity can be exploited by opportunistic Gaussian modulation.

This record has no associated files available for download.

More information

Accepted/In Press date: 2 July 2018
e-pub ahead of print date: 18 August 2018
Published date: 1 September 2018

Identifiers

Local EPrints ID: 426599
URI: http://eprints.soton.ac.uk/id/eprint/426599
ISSN: 0960-0779
PURE UUID: 699da1e5-bdc7-4b9c-a6ad-fb3767121b2c

Catalogue record

Date deposited: 30 Nov 2018 17:30
Last modified: 05 Jun 2024 18:24

Export record

Altmetrics

Contributors

Author: Laszlo Gyongyosi
Author: Sandor Imre

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×