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Proceedings Paper

Gaussian quadrature inference for continuous-variable quantum key distribution
Author(s): L. Gyongyosi; S. Imre
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Paper Abstract

We propose the Gaussian quadrature inference (GQI) method for multicarrier continuous-variable quantum key distribution (CVQKD). A multicarrier CVQKD protocol utilizes Gaussian subcarrier quantum continuous variables (CV) for information transmission. The GQI framework provides a minimal error estimate of the quadratures of the CV quantum states from the discrete, measured noisy subcarrier variables. GQI utilizes the fundamentals of regularization theory and statistical information processing. We characterize GQI for multicarrier CVQKD, and define a method for the statistical modeling and processing of noisy Gaussian subcarrier quadratures. We demonstrate the results through the adaptive multicarrier quadrature division (AMQD) scheme. We introduce the terms statistical secret key rate and statistical private classical information, which quantities are derived purely by the statistical functions of GQI. We prove the secret key rate formulas for a multiple access multicarrier CVQKD via the AMQD-MQA (multiuser quadrature allocation) scheme. The framework can be established in an arbitrary CVQKD protocol and measurement setting, and are implementable by standard low-complexity statistical functions, which is particularly convenient for an experimental CVQKD scenario.

Paper Details

Date Published: 20 May 2016
PDF: 15 pages
Proc. SPIE 9873, Quantum Information and Computation IX, 987305 (20 May 2016); doi: 10.1117/12.2223482
Show Author Affiliations
L. Gyongyosi, Budapest Univ. of Technology and Economics (Hungary)
MTA-BME Information Systems Research Group (Hungary)
S. Imre, Budapest Univ. of Technology and Economics (Hungary)

Published in SPIE Proceedings Vol. 9873:
Quantum Information and Computation IX
Eric Donkor; Michael Hayduk, Editor(s)

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