English

Robust quantum network architectures and topologies for entanglement distribution

Quantum Physics 2018-03-02 v3

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.

Keywords

Cite

@article{arxiv.1709.07404,
  title  = {Robust quantum network architectures and topologies for entanglement distribution},
  author = {Siddhartha Das and Sumeet Khatri and Jonathan P. Dowling},
  journal= {arXiv preprint arXiv:1709.07404},
  year   = {2018}
}

Comments

14 pages, 10 figures. v2: Slightly modified the abstract; some minor typos corrected and minor clarifying notes added throughout; three new figures added (Fig. 5, 6, 9); expanded the discussion in Section III to improve clarity; updated the Acknowledgements. v3: Minor changes to match the published version

R2 v1 2026-06-22T21:50:51.045Z