Performance analysis of quantum repeaters enabled by deterministically generated photonic graph states
Yuan Zhan, Paul Hilaire, Edwin Barnes, Sophia E. Economou, and Shuo, Sun

TL;DR
This paper compares the performance of quantum repeaters using different photonic graph states and generation schemes, providing guidelines for optimizing resource efficiency and experimental implementation.
Contribution
It offers a systematic quantitative comparison of two types of photonic graph states and generation schemes for quantum repeaters, filling a gap in performance analysis.
Findings
The optimal generation scheme varies with system parameters.
Performance differences are significant between the two graph states.
Guidelines for experimental realization are provided.
Abstract
By encoding logical qubits into specific types of photonic graph states, one can realize quantum repeaters that enable fast entanglement distribution rates approaching classical communication. However, the generation of these photonic graph states requires a formidable resource overhead using traditional approaches based on linear optics. Overcoming this challenge, a number of new schemes have been proposed that employ quantum emitters to deterministically generate photonic graph states. Although these schemes have the potential to significantly reduce the resource cost, a systematic comparison of the repeater performance among different encodings and different generation schemes is lacking. Here, we quantitatively analyze the performance of quantum repeaters based on two different graph states, i.e. the tree graph states and the repeater graph states. For both states, we compare the…
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Taxonomy
TopicsQuantum Information and Cryptography · Neural Networks and Reservoir Computing · Quantum Computing Algorithms and Architecture
