Towards optimum phase noise compensation for CV-QKD systems

Hou Man Chin*, Nitin Jain, Ulrik L. Andersen, Tobias Gehring

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

We experimentally examine the performance of a machine learning based phase estimation and compensation framework for Gaussian modulated continuous variable quantum key distribution relative to a transmitted local oscillator and ideal phase compensation.

Original languageEnglish
Title of host publicationProceedings of 2023 Conference on Lasers and Electro-Optics
Number of pages2
PublisherIEEE
Publication date2023
Article numberFF2A.4
ISBN (Electronic)9781957171258
Publication statusPublished - 2023
EventCLEO: Science and Innovations 2023 - San Jose McEnery Convention Center, San Jose, United States
Duration: 7 May 202312 May 2023
https://www.cleoconference.org

Conference

ConferenceCLEO: Science and Innovations 2023
LocationSan Jose McEnery Convention Center
Country/TerritoryUnited States
CitySan Jose
Period07/05/202312/05/2023
Internet address

Bibliographical note

Funding Information:
The authors acknowledge support from Innovation Fund Denmark (CryptQ project #0175-00018A), and the DNRF Center for Macroscopic Quantum States (bigQ, DNRF142), and DCC [4]. This project was funded within the QuantERA II Programme that has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No 101017733.

Funding Information:
The authors acknowledge support from Innovation Fund Denmark (CryptQ project #0175-00018A), and the DNRF Center for Macroscopic Quantum States (bigQ, DNRF142), and DCC [4]. This project was funded within the QuantERA II Programme that has received funding from the European Union,s Horizon 2020 research and innovation programme under Grant Agreement No 101017733.

Publisher Copyright:
© 2023 The Author(s)

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