Markov Chain Model of Entanglement Setup in Noisy Dynamic LEO Satellite Networks
This work introduces a comprehensive Markov chain model to analyze entanglement distribution in noisy, dynamic Low Earth Orbit (LEO) satellite networks. It models how links are generated and stored over time, comparing two strategies: pre-generation and on-demand. The model helps determine the best way to manage limited quantum resources against decoherence.