A compact entanglement distillery
Animesh Datta, Lijian Zhang, Joshua Nunn, Nathan K. Langford, Alvaro, Feito, Martin B. Plenio, Ian A. Walmsley

TL;DR
This paper presents a resource-efficient continuous-variable entanglement distillation scheme using a fixed module with minimal quantum memories, enabling scalable quantum networks with reduced resource costs.
Contribution
It introduces a novel, resource-efficient entanglement distillation protocol requiring only linear time and constant physical resources, suitable for scalable quantum networks.
Findings
Requires only four quantum memories with up to 50% efficiency
Achieves exponential resource improvements over existing protocols
Enables feasible experimental implementation
Abstract
Large-scale quantum-correlated networks could transform technologies ranging from communications and cryptography to computation, metrology, and simulation of novel materials. Critical to achieving such quantum enhancements is distributing high-quality entanglement between distant nodes. This is made possible in the unavoidable presence of decoherence by entanglement distillation. However, current versions of this protocol are prohibitively costly in terms of resources. We introduce a new scheme for continuous-variable entanglement distillation that requires only linear temporal and constant physical or spatial resources, both of which are exponential improvements over existing protocols. Our scheme uses a fixed module - an entanglement distillery - comprising only four quantum memories of at most 50 % storage efficiency and allowing a feasible experimental implementation. Tangible…
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