Markov Chain Model of Entanglement Setup in Noisy Dynamic LEO Satellite Networks
Yifan Gao, Alvin Valera, Winston K.G. Seah

TL;DR
This paper develops a Markov chain model to analyze entanglement distribution in noisy, dynamic LEO satellite networks, addressing key challenges like transmission loss and decoherence for quantum communication.
Contribution
It introduces a comprehensive Markov chain framework with analytical expressions for performance metrics, aiding the design of entanglement routing strategies in satellite networks.
Findings
Higher request rates increase fidelity but reduce satisfaction rate.
Lower request rates extend storage time but decrease fidelity due to decoherence.
Polarization rotation can be neglected for short transmission distances (40-50 km).
Abstract
Quantum entanglement routing in dynamic Low Earth Orbit (LEO) satellite networks is important for achieving scalable and high-fidelity quantum communication. However, the dynamic characteristics of satellite network topology, limited quantum resources, and strict coherence time constraints pose significant challenges to reliable entanglement routing. An entanglement distribution analysis model for this unique environment is critical and helpful for entanglement routing research. We address the fundamental challenge of establishing and maintaining quantum entanglement links between satellites operating in free space, where links are subject to both transmission losses and quantum memory decoherence. This paper presents a comprehensive Markov chain model with a state space defined by link storage age and physical distance for analyzing entanglement distribution in noisy dynamic LEO…
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Taxonomy
TopicsSatellite Communication Systems · IoT Networks and Protocols · Spacecraft Design and Technology
