1 citations · 2 across the 5 of their papers we have counts for
5 papers
Machine Learning based Optimization of CV-QKD Under Practical Constraints
Svitlana Matsenko, Amirhossein Ghazisaeidi, Marcin Jarzyna +4
Practical hardware limitations, including finite transmitter and receiver filter lengths as well as the finite resolution of digital-to-analog and analog-to-digital converters, lea…
Mode Mismatch Mitigation in Gaussian-Modulated CV-QKD
Svitlana Matsenko, Amirhossein Ghazisaeidi, Marcin Jarzyna +4
Technical limitations in pulse shaping lead to mode mismatch, which significantly reduces the secure key rate in CV-QKD systems. To address this, a machine learning approach is emp…
Blind Equalization using a Variational Autoencoder with Second Order Volterra Channel Model
Søren Føns Nielsen, Darko Zibar, Mikkel N. Schmidt
Existing communication hardware is being exerted to its limits to accommodate for the ever increasing internet usage globally. This leads to non-linear distortion in the communicat…
End-to-End Learning of Transmitter and Receiver Filters in Bandwidth Limited Fiber Optic Communication Systems
Søren Føns Nielsen, Francesco Da Ros, Mikkel N. Schmidt +1
This paper investigates the application of end-to-end (E2E) learning for joint optimization of pulse-shaper and receiver filter to reduce intersymbol interference (ISI) in bandwidt…
End-to-End Learning of Pulse-Shaper and Receiver Filter in the Presence of Strong Intersymbol Interference
Søren Føns Nielsen, Francesco Da Ros, Mikkel N. Schmidt +1
We numerically demonstrate that joint optimization of FIR based pulse-shaper and receiver filter results in an improved system performance, and shorter filter lengths (lower comple…