A quantum router architecture for high-fidelity entanglement flows in quantum networks

Author:

Lee YuanORCID,Bersin EricORCID,Dahlberg AxelORCID,Wehner Stephanie,Englund DirkORCID

Abstract

AbstractThe past decade has seen tremendous progress in experimentally realizing the building blocks of quantum repeaters. Repeater architectures with multiplexed quantum memories have been proposed to increase entanglement distribution rates, but an open challenge is to maintain entanglement fidelity over long-distance links. Here, we address this with a quantum router architecture comprising many quantum memories connected in a photonic switchboard to broker entanglement flows across quantum networks. We compute the rate and fidelity of entanglement distribution under this architecture using an event-based simulator, finding that the router improves the entanglement fidelity as multiplexing depth increases without a significant drop in the entanglement distribution rate. Specifically, the router permits channel-loss-invariant fidelity, i.e. the same fidelity achievable with lossless links. Furthermore, this scheme automatically prioritizes entanglement flows across the full network without requiring global network information. The proposed architecture uses present-day photonic technology, opening a path to near-term deployable multi-node quantum networks.

Funder

National Science Foundation

National Aeronautics and Space Administration

MIT School of Engineering SuperUROP Program

A.D. was supported by an ERC Starting grant, the EU Flagship on Quantum Technologies, the Quantum Internet Alliance, an NWO VIDI grant, and the Zwaartekracht QSC.

European Commission

S.W. was supported by an ERC Starting grant, the EU Flagship on Quantum Technologies, the Quantum Internet Alliance, an NWO VIDI grant, and the Zwaartekracht QSC.

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Statistical and Nonlinear Physics,Computer Science (miscellaneous)

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