Reducing Network Cooling Cost Using Twin-Field Quantum Key Distribution
Vasileios Karavias, Andrew Lord, Mike Payne

TL;DR
This paper demonstrates that Twin-Field Quantum Key Distribution (TF QKD) enables cost-effective, long-distance, fully connected quantum networks with fewer cooled nodes and higher key rates compared to traditional methods like Decoy BB84.
Contribution
It introduces a network topology for TF QKD that localizes cooled detectors, reducing cooling costs and enabling longer, fully connected quantum networks with fewer cooled nodes.
Findings
TF QKD achieves up to 110km connectivity with only 4 cooled nodes.
The average key rate in TF QKD networks is over 30 times higher than uncooled Decoy BB84.
Switches with 1-2dB loss further enhance TF QKD network performance.
Abstract
Improving the rates and distances over which quantum secure keys are generated is a major challenge. New source and detector hardware can improve key rates significantly, however it can require expensive cooling. We show that Twin Field Quantum Key Distribution (TF QKD) has an advantageous topology allowing the localisation of cooled detectors. This setup for a quantum network allows a fully connected network solution, i.e. one where every connection has non zero key rates, in a box with sides of length up to 110km with just 4 cooled nodes, while Decoy state BB84 is only capable of up to 80km with 40 cooled nodes, and 50km if no nodes are cooled. The average key rate in the network of the localised, cooled TF QKD is more than 30 times greater than the uncooled Decoy BB84 solution and 0.9 those of cooled Decoy BB84. To reduce the cost of the network further, switches can be used in the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Information and Cryptography · Quantum Computing Algorithms and Architecture · Quantum Mechanics and Applications
