Bahrani, S, Razavi, M and Salehi, JA (2016) Optimal Wavelength Allocation in Hybrid Quantum-Classical Networks. In: 24th European Signal Processing Conference (EUSIPCO 2016). EUSIPCO 2016, 29 Aug - 02 Sep 2016, Budapest, Hungary. IEEE , pp. 483-487. ISBN 978-0-9928-6265-7
Abstract
An efficient algorithm for optimal allocation of wavelengths in a hybrid dense-wavelength-division-multiplexing system, carrying both quantum and classical data, is proposed. The transmission of quantum bits alongside intense classical signals on the same fiber faces major challenges arising from the background noise generated by classical channels. Raman scattering, in particular, is shown to have detrimental effects on the performance of quantum key distribution systems. Here, by using an optimal wavelength allocation technique, we minimize the Raman induced background noise on quantum channels, hence maximize the achievable secret key generation rate for quantum channels. It turns out the conventional solution that the optimal arrangement would involve splitting the spectrum into only two bands, one for quantum and one for classical channels, is only a suboptimal one. We show that, in the optimal arrangement, we might need several quantum and classical bands interspersed among each other.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2016, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Keywords: | Photonics, Noise measurement, Wavelength division multiplexing, Wavelength assignment, Resource management, Receivers, Optimization |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Pollard Institute (Leeds) |
Funding Information: | Funder Grant number EPSRC EP/M013472/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 21 Sep 2016 11:14 |
Last Modified: | 01 Jul 2017 15:02 |
Published Version: | https://doi.org/10.1109/EUSIPCO.2016.7760295 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/EUSIPCO.2016.7760295 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:104914 |