Work

Mode Mismatch Mitigation in Gaussian-Modulated CV-QKD

Year: 2025

Type: conference-paper

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. ©2025

Source: European Conference on Optical Communication

DOI: 10.1109/ecoc66593.2025.11263288

Authors: Svitlana Matsenko, Amirhossein Ghazisaeidi, Marcin Jarzyna, Mikkel N. Schmidt, Søren F. Nielsen, Konrad Banaszek, Darko Zibar

Institutions: Technical University of Denmark, University of Warsaw

Language: English

Topic: Quantum Information and Cryptography

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Villum Fonden, European Commission, Fundacja na rzecz Nauki Polskiej, HORIZON EUROPE Framework Programme

Awards: G2071645167, G369325462, G442103306, G5602316953, G57182573, G6251103608, G7799207878, G8671883520, Quantum Secure Networks Partnership

OpenAlex ID: W4417052928

FWCI:

Cites: 8

Cited by:

Related to: 10