On the Capacity Region of a Quantum Switch with Entanglement Purification
Nitish K. Panigrahy, Thirupathaiah Vasantam, Don Towsley, Leandros, Tassiulas

TL;DR
This paper characterizes the capacity region of a quantum switch with entanglement purification under noisy conditions, providing optimization methods and scheduling policies to maximize entanglement throughput in quantum networks.
Contribution
It introduces a comprehensive capacity region analysis for quantum switches with purification, including scheduling policies and yield distribution results under realistic noise models.
Findings
Link-level purification followed by swaps yields larger capacity.
Max-weight scheduling stabilizes the switch for feasible request rates.
Numerical results guide quantum switch design choices.
Abstract
Quantum switches are envisioned to be an integral component of future entanglement distribution networks. They can provide high quality entanglement distribution service to end-users by performing quantum operations such as entanglement swapping and entanglement purification. In this work, we characterize the capacity region of such a quantum switch under noisy channel transmissions and imperfect quantum operations. We express the capacity region as a function of the channel and network parameters (link and entanglement swap success probability), entanglement purification yield and application level parameters (target fidelity threshold). In particular, we provide necessary conditions to verify if a set of request rates belong to the capacity region of the switch. We use these conditions to find the maximum achievable end-to-end user entanglement generation throughput by solving a set…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Quantum Mechanics and Applications
