Mode Mismatch Mitigation in Gaussian-Modulated CV-QKD

TL;DR

This paper presents a machine learning method to optimize pulse shaping in Gaussian-modulated CV-QKD systems, effectively reducing mode mismatch and significantly enhancing secure key rates.

Contribution

It introduces a novel machine learning approach for pulse-shape optimization to mitigate mode mismatch in CV-QKD, improving system performance.

Findings

Reduced mode mismatch through optimized pulse shaping

Significant increase in secure key rate

Demonstrated effectiveness of machine learning in quantum communication

Abstract

Technical limitations in pulse shaping lead to mode mismatch, which significantly reduces the secure key rate in CV-QKD systems. To address this, a machine learning approach is employed to optimize the transmitter pulse-shape, effectively minimizing mode mismatch and yielding substantial performance improvements.