Optimal resource allocation for flexible-grid entanglement distribution networks

  • Alnas J
  • Alshowkan M
  • Rao N
  • et al.
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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.

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Alnas, J., Alshowkan, M., Rao, N. S. V., Peters, N. A., & Lukens, J. M. (2022). Optimal resource allocation for flexible-grid entanglement distribution networks. Optics Express, 30(14), 24375. https://doi.org/10.1364/oe.458358

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