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Journal Articles ACM Transactions on Modeling and Performance Evaluation of Computing Systems Year : 2023

On the Capacity Region of Bipartite and Tripartite Entanglement Switching

Abstract

We study a quantum switch serving a set of users in a star topology. The function of the switch is to create bipartite or tripartite entangled state among users at the highest possible rates at a fixed ratio. We model a set of randomized switching policies. Discovering that some are better than others, we present analytical results for the case where the switch stores one qubit per user, and find that the best policies outperform a time division multiplexing (TDM) policy for sharing the switch between bipartite and tripartite state generation. This performance improvement decreases as the number of users grows. The model is easily augmented to study the capacity region in the presence of qubit decoherence, obtaining similar results. Moreover, decoherence appears to have little effect on capacity. We also study a smaller class of policies when the switch stores two qubits per user.
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hal-04018593 , version 1 (07-03-2023)

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Gayane Vardoyan, Philippe Nain, Saikat Guha, Don Towsley. On the Capacity Region of Bipartite and Tripartite Entanglement Switching. ACM Transactions on Modeling and Performance Evaluation of Computing Systems, 2023, 8 (1-2), pp.1-18. ⟨10.1145/3571809⟩. ⟨hal-04018593⟩
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