Machine learning based joint polarization and phase compensation for CV-QKD

Hou Man Chin; Adnan A.E. Hajomer; Nitin Jain; Ulrik L. Andersen; Tobias Gehring

doi:10.23919/OFC49934.2023.10116174

Machine learning based joint polarization and phase compensation for CV-QKD

Hou Man Chin, Adnan A.E. Hajomer, Nitin Jain, Ulrik L. Andersen, Tobias Gehring

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

233 Downloads (Orbit)

Abstract

We investigated a machine learning method for joint estimation of polarization and phase for use in a Gaussian modulated CV-QKD system, over an 18 hour period measured on a installed fiber with 5.5 dB attenuation.

Original language	English
Title of host publication	Proceedings of 2023 Optical Fiber Communications Conference and Exhibition
Number of pages	3
Publisher	IEEE
Publication date	2023
Article number	Th3J.2
ISBN (Print)	979-8-3503-1229-4
DOIs	https://doi.org/10.23919/OFC49934.2023.10116174
Publication status	Published - 2023
Event	2023 Optical Fiber Communications Conference and Exhibition - San Diego Convention Center, San Diego, United States Duration: 5 Mar 2023 → 9 Mar 2023

Conference

Conference	2023 Optical Fiber Communications Conference and Exhibition
Location	San Diego Convention Center
Country/Territory	United States
City	San Diego
Period	05/03/2023 → 09/03/2023

Access to Document

10.23919/OFC49934.2023.10116174

FulltextSubmitted manuscript, 370 KB

OpenUrl availability

Full text

Cite this

@inproceedings{adf0241b56d94178a124b61c23831cdc,

title = "Machine learning based joint polarization and phase compensation for CV-QKD",

abstract = "We investigated a machine learning method for joint estimation of polarization and phase for use in a Gaussian modulated CV-QKD system, over an 18 hour period measured on a installed fiber with 5.5 dB attenuation.",

author = "Chin, \{Hou Man\} and Hajomer, \{Adnan A.E.\} and Nitin Jain and Andersen, \{Ulrik L.\} and Tobias Gehring",

year = "2023",

doi = "10.23919/OFC49934.2023.10116174",

language = "English",

isbn = "979-8-3503-1229-4",

booktitle = "Proceedings of 2023 Optical Fiber Communications Conference and Exhibition",

publisher = "IEEE",

address = "United States",

note = "2023 Optical Fiber Communications Conference and Exhibition, OFC 2023 ; Conference date: 05-03-2023 Through 09-03-2023",

}

Chin, HM , Hajomer, AAE , Jain, N , Andersen, UL & Gehring, T 2023, Machine learning based joint polarization and phase compensation for CV-QKD. in Proceedings of 2023 Optical Fiber Communications Conference and Exhibition., Th3J.2, IEEE, 2023 Optical Fiber Communications Conference and Exhibition, San Diego, California, United States, 05/03/2023. https://doi.org/10.23919/OFC49934.2023.10116174

TY - GEN

T1 - Machine learning based joint polarization and phase compensation for CV-QKD

AU - Chin, Hou Man

AU - Hajomer, Adnan A.E.

AU - Jain, Nitin

AU - Andersen, Ulrik L.

AU - Gehring, Tobias

PY - 2023

Y1 - 2023

N2 - We investigated a machine learning method for joint estimation of polarization and phase for use in a Gaussian modulated CV-QKD system, over an 18 hour period measured on a installed fiber with 5.5 dB attenuation.

AB - We investigated a machine learning method for joint estimation of polarization and phase for use in a Gaussian modulated CV-QKD system, over an 18 hour period measured on a installed fiber with 5.5 dB attenuation.

U2 - 10.23919/OFC49934.2023.10116174

DO - 10.23919/OFC49934.2023.10116174

M3 - Article in proceedings

SN - 979-8-3503-1229-4

BT - Proceedings of 2023 Optical Fiber Communications Conference and Exhibition

PB - IEEE

T2 - 2023 Optical Fiber Communications Conference and Exhibition

Y2 - 5 March 2023 through 9 March 2023

ER -

Machine learning based joint polarization and phase compensation for CV-QKD

Abstract

Conference

Access to Document

OpenUrl availability

Fingerprint

Cite this