arXiv Machine Learning By Martin Clason, Joakim Argillander, Didrik Bergstr\"om, Daniel Spegel-Lexne, Giulio Foletto, Ashraf El Hassan, Mohamed Bourennane, Onur G\"unl\"u, Katia Gallo, Rui Lin, Guilherme B. Xavier

Deployed trusted-node quantum key distribution over 300 km with a multi-core fiber access link

Read the original on arXiv Machine Learning →

arXiv:2606. 06107v1 Announce Type: cross Abstract: Quantum key distribution (QKD) is increasingly considered for deployment in realistic communication networks, where long distances, heterogeneous fiber infrastructure, and coexistence with classical traffic present substantial challenges.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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