Optimal entanglement distribution policies in homogeneous repeater chains with cutoffs
| Autor: | Iñesta, Álvaro G., Vardoyan, Gayane, Scavuzzo, Lara, Wehner, Stephanie |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | npj Quantum Inf 9, 46 (2023) |
| Druh dokumentu: | Working Paper |
| DOI: | 10.1038/s41534-023-00713-9 |
| Popis: | 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. Our work sheds light on how to distribute entangled pairs in large quantum networks using a chain of intermediate repeaters with cutoffs. Comment: 9 pages, 8 figures, 15 pages appendix with 10 figures |
| Databáze: | arXiv |
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