English

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

Quantum Physics 2022-11-14 v1

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.

Cite

@article{arxiv.2211.06246,
  title  = {Machine learning based joint polarization and phase compensation for CV-QKD},
  author = {Hou-Man Chin and Adnan E. Hajomer and Nitin Jain and Ulrik L. Andersen and Tobias Gehring},
  journal= {arXiv preprint arXiv:2211.06246},
  year   = {2022}
}

Comments

3 pages, 5 figures, conference

R2 v1 2026-06-28T05:40:43.584Z