Long-distance entanglement generation with scalable and robust two-dimensional quantum network
Ying Li, Daniel Cavalcanti, Leong Chuan Kwek

TL;DR
This paper proposes a scalable protocol for long-distance entanglement in 2D quantum networks using surface codes, tolerating realistic error rates and requiring minimal quantum memories per node.
Contribution
It introduces a novel protocol leveraging surface error-correction codes for robust, scalable entanglement distribution in 2D quantum networks with fixed quantum memory requirements.
Findings
Supports error rates up to 1.67% in quantum channels
Requires a fixed number of quantum memories per network node
Enables long-distance entanglement with high fidelity
Abstract
We present a protocol for generating entanglement over long distances in a two-dimensional quantum network based on the surface error-correction code. This protocol requires a fixed number of quantum memories at each node of the network and tolerates error rates of up to 1.67% in the quantum channels.
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