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

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

doi:10.1364/OFC.2023.Th3J.2

Optical Fiber Communication Conference (OFC) 2023
Technical Digest Series (Optica Publishing Group, 2023),
paper Th3J.2
•https://doi.org/10.1364/OFC.2023.Th3J.2

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

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

Optical Fiber Communication Conference 2023

San Diego California United States
5–9 March 2023
ISBN: 978-1-957171-18-0

From the session
Advanced Control in Quantum Systems (Th3J)

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H. Chin, A. A. E. Hajomer, N. Jain, U. L. Andersen, and T. Gehring, "Machine learning based joint polarization and phase compensation for CV-QKD," in Optical Fiber Communication Conference (OFC) 2023, Technical Digest Series (Optica Publishing Group, 2023), paper Th3J.2.

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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.

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