Machine learning based joint polarization and phase compensation for CV-QKD
arXiv:2211.06246
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.
3 pages, 5 figures, conference