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Space-Based Quantum Internet: Entanglement Distribution in Time-Varying LEO Constellations

Seid Koudia, Junaid ur Rehman, Symeon Chatzinotas

TL;DR

This paper introduces a novel framework that leverages the dynamic nature of LEO satellite networks to enhance entanglement distribution efficiency, and proposes an entanglement distribution strategy based on path utility, incorporating pointing errors, non-ideal link transmittance for intersatellite links, and atmospheric effects for downlinks.

Abstract

This paper addresses the complexities of entanglement distribution in LEO satellite networks, particularly those arising from their dynamic topology. Traditional static and dynamic entanglement distribution methods often result in high entanglement drop rates and reduced end-to-end throughput. We introduce a novel framework that leverages the dynamic nature of LEO satellite networks to enhance entanglement distribution efficiency. Employing a space-time graph model to represent the network's temporal evolution, we propose an entanglement distribution strategy based on path utility, incorporating pointing errors, non-ideal link transmittance for intersatellite links, and atmospheric effects for downlinks. Our approach demonstrates superior performance in reducing entanglement drop rates and improving throughput compared to conventional methods. This study advances the field of quantum communication in satellite networks, offering resilient and efficient entanglement distribution strategies that support practical applications such as distributed computing, quantum multipartite cryptography, and distributed quantum sensing. The findings underscore the potential of integrating dynamic satellite networks with quantum technologies to create a reliable and secure quantum internet.

Space-Based Quantum Internet: Entanglement Distribution in Time-Varying LEO Constellations

TL;DR

This paper introduces a novel framework that leverages the dynamic nature of LEO satellite networks to enhance entanglement distribution efficiency, and proposes an entanglement distribution strategy based on path utility, incorporating pointing errors, non-ideal link transmittance for intersatellite links, and atmospheric effects for downlinks.

Abstract

This paper addresses the complexities of entanglement distribution in LEO satellite networks, particularly those arising from their dynamic topology. Traditional static and dynamic entanglement distribution methods often result in high entanglement drop rates and reduced end-to-end throughput. We introduce a novel framework that leverages the dynamic nature of LEO satellite networks to enhance entanglement distribution efficiency. Employing a space-time graph model to represent the network's temporal evolution, we propose an entanglement distribution strategy based on path utility, incorporating pointing errors, non-ideal link transmittance for intersatellite links, and atmospheric effects for downlinks. Our approach demonstrates superior performance in reducing entanglement drop rates and improving throughput compared to conventional methods. This study advances the field of quantum communication in satellite networks, offering resilient and efficient entanglement distribution strategies that support practical applications such as distributed computing, quantum multipartite cryptography, and distributed quantum sensing. The findings underscore the potential of integrating dynamic satellite networks with quantum technologies to create a reliable and secure quantum internet.
Paper Structure (22 sections, 36 equations, 13 figures, 2 tables, 4 algorithms)

This paper contains 22 sections, 36 equations, 13 figures, 2 tables, 4 algorithms.

Figures (13)

  • Figure 1: The management time of the satellite communication $T$ is splitted into time slots referred to as snapshots
  • Figure 2: The changing network connectivity in each snapshot
  • Figure 3: The space-time graph describing the network topology change during the management time
  • Figure 5: Illustration of the Nested Entanglement Protocol. Nodes $1, 2, 3, 4,$ and $5$ are repeater nodes performing Bell State Measurements (BSMs). In Round 1, independent BSMs are performed on nodes $1,3$ and $5$. In Round 2, BSMs are performed on node $2$. In Round 3, a BSM is performed on node $4$. At the end of round 3 a lon haul entanglement is established between $S$ and $D$
  • Figure 6: An illustration of the LEO constellation highlighting satellites 3 and 13 and the ground stations in Luxembourg and Norway
  • ...and 8 more figures

Theorems & Definitions (3)

  • Definition 1
  • Definition 2
  • Definition 3