Iterative Secret Key Rate Adapting with Error Minimization for Continuous-Variable Quantum Key Distribution

TL;DR

This paper introduces an iterative method for optimizing secret key rates in multicarrier continuous-variable quantum key distribution, minimizing errors through adaptive sub-channel adjustments for practical implementation.

Contribution

It proposes a simple, iterative adaptation algorithm that optimizes secret key rates and minimizes errors in multicarrier CVQKD without complex computations.

Findings

Achieves target secret key rate with minimized error rate

Requires no complex calculations, suitable for experimental scenarios

Provides an easy-to-implement adaptive protocol

Abstract

We define an iterative error-minimizing secret key adapting method for multicarrier CVQKD. A multicarrier CVQKD protocol uses Gaussian subcarrier quantum continuous variables (CVs) for the transmission. The proposed method allows for the parties to reach a given target secret key rate with minimized error rate through the Gaussian sub-channels by a sub-channel adaption procedure. The adaption algorithm iteratively determines the optimal transmit conditions to achieve the target secret key rate and the minimal error rate over the sub-channels. The solution requires no complex calculations or computational tools, allowing for easy implementation for experimental CVQKD scenarios.