150 citations · 864 across the 60 of their papers we have counts for
9 papers · 1 filter
Gradient-free training of autoencoders for non-differentiable communication channels
Ognjen Jovanovic, Metodi Plamenov Yankov, Francesco Da Ros +1
Training of autoencoders using the back-propagation algorithm is challenging for non-differential channel models or in an experimental environment where gradients cannot be compute…
Simultaneous gain profile design and noise figure prediction for Raman amplifiers using machine learning
Uiara Celine de Moura, Ann Margareth Rosa Brusin, Andrea Carena +2
A machine learning framework predicting pump powers and noise figure profile for a target distributed Raman amplifier gain profile is experimentally demonstrated. We employ a singl…
Experimental characterization of Raman amplifier optimization through inverse system design
Uiara Celine de Moura, Francesco Da Ros, Ann Margareth Rosa Brusin +2
Optical communication systems are always evolving to support the need for ever-increasing transmission rates. This demand is supported by the growth in complexity of communication…
Experimental Demonstration of Optoelectronic Equalization for Short-reach Transmission with Reservoir Computing
Stenio M. Ranzini, Roman Dischler, Francesco da Ros +2
A receiver with shared complexity between optical and digital domains is experimentally demonstrated. Reservoir computing is used to equalize up to 4 directly-detected optically fi…
End-to-end optimization of coherent optical communications over the split-step Fourier method guided by the nonlinear Fourier transform theory
Simone Gaiarin, Francesco Da Ros, Rasmus T. Jones +1
Optimizing modulation and detection strategies for a given channel is critical to maximize the throughput of a communication system. Such an optimization can be easily carried out…
Multi-band programmable gain Raman amplifier
Uiara Celine de Moura, Md Asif Iqbal, Morteza Kamalian +7
Optical communication systems, operating in C-band, are reaching their theoretically achievable capacity limits. An attractive and economically viable solution to satisfy the futur…
Phase Compensation for Continuous Variable Quantum Key Distribution
Hou-Man Chin, Darko Zibar, Nitin Jain +2
The tracking and compensation of phase noise is critical to reducing excess noise for continuous variable quantum key distribution schemes. This work demonstrates the effectiveness…
Thermodynamics of a Quantum Annealer
Lorenzo Buffoni, Michele Campisi
The D-wave processor is a partially controllable open quantum system which exchanges energy with its surrounding environment (in the form of heat) and with the external time depend…
Machine learning aided carrier recovery in continuous-variable quantum key distribution
Hou-Man Chin, Nitin Jain, Darko Zibar +2
The secret key rate of a continuous-variable quantum key distribution (CV-QKD) system is limited by excess noise. A key issue typical to all modern CV-QKD systems implemented with…