Optimal entanglement distribution policies in homogeneous repeater chains with cutoffs

Abstract We study the limits of bipartite entanglement distribution using a chain of quantum repeaters that have quantum memories. To generate end-to-end entanglement, each node can attempt the generation of an entangled link with a neighbor, or perform an entanglement swapping measurement. A maximu...

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Main Authors: Álvaro G. Iñesta, Gayane Vardoyan, Lara Scavuzzo, Stephanie Wehner
Format: Article
Language:English
Published: Nature Portfolio 2023-05-01
Series:npj Quantum Information
Online Access:https://doi.org/10.1038/s41534-023-00713-9
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author Álvaro G. Iñesta
Gayane Vardoyan
Lara Scavuzzo
Stephanie Wehner
author_facet Álvaro G. Iñesta
Gayane Vardoyan
Lara Scavuzzo
Stephanie Wehner
author_sort Álvaro G. Iñesta
collection DOAJ
description Abstract We study the limits of bipartite entanglement distribution using a chain of quantum repeaters that have quantum memories. To generate end-to-end entanglement, each node can attempt the generation of an entangled link with a neighbor, or perform an entanglement swapping measurement. A maximum storage time, known as cutoff, is enforced on the memories to ensure high-quality entanglement. Nodes follow a policy that determines when to perform each operation. Global-knowledge policies take into account all the information about the entanglement already produced. Here, we find global-knowledge policies that minimize the expected time to produce end-to-end entanglement. Our methods are based on Markov decision processes and value and policy iteration. We compare optimal policies to a policy in which nodes only use local information. We find that the advantage in expected delivery time provided by an optimal global-knowledge policy increases with increasing number of nodes and decreasing probability of successful swapping.
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spelling doaj.art-35d078754e594563b98e2a58675e6eb32023-05-07T11:19:40ZengNature Portfolionpj Quantum Information2056-63872023-05-01911710.1038/s41534-023-00713-9Optimal entanglement distribution policies in homogeneous repeater chains with cutoffsÁlvaro G. Iñesta0Gayane Vardoyan1Lara Scavuzzo2Stephanie Wehner3QuTech, Delft University of TechnologyQuTech, Delft University of TechnologyEEMCS, Delft University of TechnologyQuTech, Delft University of TechnologyAbstract We study the limits of bipartite entanglement distribution using a chain of quantum repeaters that have quantum memories. To generate end-to-end entanglement, each node can attempt the generation of an entangled link with a neighbor, or perform an entanglement swapping measurement. A maximum storage time, known as cutoff, is enforced on the memories to ensure high-quality entanglement. Nodes follow a policy that determines when to perform each operation. Global-knowledge policies take into account all the information about the entanglement already produced. Here, we find global-knowledge policies that minimize the expected time to produce end-to-end entanglement. Our methods are based on Markov decision processes and value and policy iteration. We compare optimal policies to a policy in which nodes only use local information. We find that the advantage in expected delivery time provided by an optimal global-knowledge policy increases with increasing number of nodes and decreasing probability of successful swapping.https://doi.org/10.1038/s41534-023-00713-9
spellingShingle Álvaro G. Iñesta
Gayane Vardoyan
Lara Scavuzzo
Stephanie Wehner
Optimal entanglement distribution policies in homogeneous repeater chains with cutoffs
npj Quantum Information
title Optimal entanglement distribution policies in homogeneous repeater chains with cutoffs
title_full Optimal entanglement distribution policies in homogeneous repeater chains with cutoffs
title_fullStr Optimal entanglement distribution policies in homogeneous repeater chains with cutoffs
title_full_unstemmed Optimal entanglement distribution policies in homogeneous repeater chains with cutoffs
title_short Optimal entanglement distribution policies in homogeneous repeater chains with cutoffs
title_sort optimal entanglement distribution policies in homogeneous repeater chains with cutoffs
url https://doi.org/10.1038/s41534-023-00713-9
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AT gayanevardoyan optimalentanglementdistributionpoliciesinhomogeneousrepeaterchainswithcutoffs
AT larascavuzzo optimalentanglementdistributionpoliciesinhomogeneousrepeaterchainswithcutoffs
AT stephaniewehner optimalentanglementdistributionpoliciesinhomogeneousrepeaterchainswithcutoffs