Robust quantum network architectures and topologies for entanglement distribution

Siddhartha Das, Sumeet Khatri, and Jonathan P. Dowling
Phys. Rev. A 97, 012335 – Published 29 January 2018

Abstract

Entanglement distribution is a prerequisite for several important quantum information processing and computing tasks, such as quantum teleportation, quantum key distribution, and distributed quantum computing. In this work, we focus on two-dimensional quantum networks based on optical quantum technologies using dual-rail photonic qubits for the building of a fail-safe quantum internet. We lay out a quantum network architecture for entanglement distribution between distant parties using a Bravais lattice topology, with the technological constraint that quantum repeaters equipped with quantum memories are not easily accessible. We provide a robust protocol for simultaneous entanglement distribution between two distant groups of parties on this network. We also discuss a memory-based quantum network architecture that can be implemented on networks with an arbitrary topology. We examine networks with bow-tie lattice and Archimedean lattice topologies and use percolation theory to quantify the robustness of the networks. In particular, we provide figures of merit on the loss parameter of the optical medium that depend only on the topology of the network and quantify the robustness of the network against intermittent photon loss and intermittent failure of nodes. These figures of merit can be used to compare the robustness of different network topologies in order to determine the best topology in a given real-world scenario, which is critical in the realization of the quantum internet.

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  • Received 13 October 2017

DOI:https://doi.org/10.1103/PhysRevA.97.012335

©2018 American Physical Society

Physics Subject Headings (PhySH)

NetworksQuantum Information, Science & Technology

Authors & Affiliations

Siddhartha Das*, Sumeet Khatri, and Jonathan P. Dowling

  • Hearne Institute for Theoretical Physics, Department of Physics and Astronomy, Louisiana State University, Baton Rouge, Louisiana 70803, USA

  • *sdas21@lsu.edu
  • skhatr5@lsu.edu

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Vol. 97, Iss. 1 — January 2018

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