Optimizing resource allocation in flex-grid entanglement distribution networks

Jude Alnas, Muneer Alshowkan, S. V. Nageswara Rao, Nicholas A. Peters, Joseph M. Lukens

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We introduce a model for the distribution of frequency-polarization hyper-entangled photon pairs in a flexible-grid optical network. In order to optimize entanglement fidelity and entangled bit rate, we apply a genetic algorithm to determine the proper spectrum allocation.

Original languageEnglish
Title of host publication2022 IEEE Photonics Conference, IPC 2022 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665434874
DOIs
StatePublished - 2022
Event2022 IEEE Photonics Conference, IPC 2022 - Vancouver, Canada
Duration: Nov 13 2022Nov 17 2022

Publication series

Name2022 IEEE Photonics Conference, IPC 2022 - Proceedings

Conference

Conference2022 IEEE Photonics Conference, IPC 2022
Country/TerritoryCanada
CityVancouver
Period11/13/2211/17/22

Funding

This manuscript has been co-authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). This research was performed in part at Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the U.S. Department of Energy under contract no. DE-AC05-00OR22725. Funding was provided by the U.S. Department of Energy, Office of Science: Office of Workforce Development for Teachers and Scientists (Science Undergraduate Laboratory Internships program) and Advanced Scientific Computing Research (Field Work Proposals ERKJ378 and ERKJ353).

FundersFunder number
U.S. Department of EnergyDE-AC05-00OR22725
Office of ScienceERKJ378, ERKJ353
Oak Ridge National Laboratory

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