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Trapped Ion Quantum Computing Quantum Simulation

Preferential path attachment model for quantum key distribution networks.

PubMed
Authors: Weiss J, Lucki M, Mařík R, Boháč L

Year

2026

Paper ID

30520

Status

Peer-reviewed

Abstract Read

~2 min

Abstract Words

173

Citations

0

Abstract

This paper presents a model for path-based growing network with preferential attachment motivated by the deployment of quantum key distribution networks. The model is based on a network constructed from path segments of [Formula: see text] nodes on average to mimic real-world quantum key distribution network architectures. Using continuum formalism and the rate equation method, we derive degree exponent, exact degree distributions and demonstrate properties similar to random networks. The theoretical framework incorporates preferential attachment with variable crossover rates and strategic shortcuts, the satellite links. The approach is validated through extensive simulations implemented in Python. Key findings reveal that network robustness, measured by critical fraction for giant component loss, increases with crossover rate and number of satellite links but decreases with segment length. Average distance scales logarithmically with network size, directly impacting secret key consumption during relaying processes in quantum key distribution networks. While preferential attachment enhances connectivity, the model network does not achieve ultra-small world properties of scale-free networks that would minimize key consumption, providing insights for designing cost-effective quantum communication infrastructures.

Why This Paper Matters

  • This paper contributes to the Quantum Simulation research area in the Quantum Articles archive.
  • It adds a 2026 reference point for readers tracking recent quantum research.
  • This paper presents a model for path-based growing network with preferential attachment motivated by the deployment of quantum key distribution networks.

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External citation index: OpenAlex citation signal • updated 2026-10-27 09:39:03

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