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arXiv · 2005.14304

Entanglement Distribution in a Quantum Network, a Multi-Commodity Flow-Based Approach

Kaushik Chakraborty·David Elkouss·Bruno Rijsman·Stephanie Wehner
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Abstract

We consider the problem of optimising the achievable EPR-pair distribution rate between multiple source-destination pairs in a quantum internet, where the repeaters may perform a probabilistic bell-state measurement and we may impose a minimum end-to-end fidelity as a requirement. We construct an efficient linear programming formulation that computes the maximum total achievable entanglement distribution rate, satisfying the end-to-end fidelity constraint in polynomial time (in the number of nodes in the network). We also propose an efficient algorithm that takes the output of the linear programming solver as an input and runs in polynomial time (in the number of nodes) to produce the set of paths to be used to achieve the entanglement distribution rate. Moreover, we point out a practical entanglement generation protocol which can achieve those rates.

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Kaushik Chakraborty, David Elkouss, Bruno Rijsman, Stephanie Wehner. 2020-05-28. Entanglement Distribution in a Quantum Network, a Multi-Commodity Flow-Based Approach. https://doi.org/10.1109/tqe.2020.3028172

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