Experimental Deployment of a 4-State Continuous-Variable QKD System with Rate-Adaptive Error Correction in an Urban Environment

In realistic environments, continuous-variable QKD has to contend with changing channel parameters. Rate-adaptive error correction (RA-EC) can avoid the key rate losses due to deviations from the optimal working point of any given fixed-rate code. The benefits of rate-adaptivity have only recently been demonstrated for CV-QKD with a QPSK protocol [1]. In this work, we explicitly compare the key rate performance of a 4-state CV-QKD system deployed in an urban environment by using both fixed-rate and rate-adaptive implementations.

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Published
2025-06-23
DOI
https://doi.org/10.1109/cleo/europe-eqec65582.2025.11110834
Primary Topic
Optical Network Technologies
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article
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article

Experimental Deployment of a 4-State Continuous-Variable QKD System with Rate-Adaptive Error Correction in an Urban Environment

Christoph Marquardt, Emmeran Sollner, Hüseyin Vural, Kevin Jaksch et al.
Optical Network Technologies
article

Experimental Deployment of a 4-State Continuous-Variable QKD System with Rate-Adaptive Error Correction in an Urban Environment

Christoph Marquardt, Emmeran Sollner, Hüseyin Vural, Kevin Jaksch, Imran Khan, Ömer Bayraktar, Stefan Richter, Emanuel Eichhammer, Lukas Eisemann
article en

Abstract

In realistic environments, continuous-variable QKD has to contend with changing channel parameters. Rate-adaptive error correction (RA-EC) can avoid the key rate losses due to deviations from the optimal working point of any given fixed-rate code. The benefits of rate-adaptivity have only recently been demonstrated for CV-QKD with a QPSK protocol [1]. In this work, we explicitly compare the key rate performance of a 4-state CV-QKD system deployed in an urban environment by using both fixed-rate and rate-adaptive implementations.

Friedrich-Alexander-Universität Erlangen-Nürnberg (DE), Max Planck Institute for the Science of Light (DE)
Sustainable cities and communities
Openalex Percentile: Top 79%
Optical Network Technologies
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