4.6 Article

Analytical Methods for High-Rate Global Quantum Networks

Journal

PRX QUANTUM
Volume 3, Issue 1, Pages -

Publisher

AMER PHYSICAL SOC
DOI: 10.1103/PRXQuantum.3.010349

Keywords

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Funding

  1. EPSRC [EP/R513386/1]
  2. European Union [820466]

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In this work, a large-scale quantum network model called weakly regular architectures is introduced to study the design of global quantum networks. Through a comparison of theoretical performance and realistic satellite quantum communication protocols, the efficacy of satellite-based technologies for global quantum communications is rigorously proven.
The development of a future global quantum communication network (or quantum Internet) will enable high-rate private communication and entanglement distribution over very long distances. However, the large-scale performance of ground-based quantum networks (which employ photons as information carriers through optical fibers) is fundamentally limited by fiber quality and link length, with the latter being a primary design factor for practical network architectures. While these fundamental limits are well established for arbitrary network topologies, the question of how to best design global architectures remains open. In this work, we introduce a large-scale quantum network model called weakly regular architectures. Such networks are capable of idealizing network connectivity, provide freedom to capture a broad class of spatial topologies, and remain analytically treatable. This allows us to investigate the effectiveness of large-scale networks with consistent connective properties and unveil critical conditions under which end-to-end rates remain optimal. Furthermore, through a strict performance comparison of ideal ground-based quantum networks with that of realistic satellite quantum communication protocols, we establish conditions for which satellites can be used to outperform fiber-based quantum infrastructure, rigorously proving the efficacy of satellite-based technologies for global quantum communications.

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