Optimal resource allocation for flexible-grid entanglement distribution networks

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

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

We use a genetic algorithm (GA) as a design aid for determining the optimal provisioning of entangled photon spectrum in flex-grid quantum networks with arbitrary numbers of channels and users. After introducing a general model for entanglement distribution based on frequency-polarization hyperentangled biphotons, we derive upper bounds on fidelity and entangled bit rate for networks comprising one-to-one user connections. Simple conditions based on user detector quality and link efficiencies are found that determine whether entanglement is possible. We successfully apply a GA to find optimal resource allocations in four different representative network scenarios and validate features of our model experimentally in a quantum local area network in deployed fiber. Our results show promise for the rapid design of large-scale entanglement distribution networks.

Original languageEnglish
Pages (from-to)24375-24393
Number of pages19
JournalOptics Express
Volume30
Issue number14
DOIs
StatePublished - Jul 4 2022

Funding

U.S. Department of Energy, Office of Science, Advanced Scientific Computing Research (ERKJ353, ERKJ378); U.S. Department of Energy, Office of Science, Workforce Development for Teachers and Scientists (Science Undergraduate Laboratory Internship). 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. Acknowledgments. 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.

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