collaborators

12 papers

eess.SP2026

Regular Perturbation on the Group-Velocity Dispersion Parameter for Dual-Polarization Short-Reach Systems

Dario Cellini, Vinícius Oliari, Erik Agrell +3

The Manakov equation governs the propagation of signals in dual-polarization systems. Its solution is usually approximated by regular perturbation on the nonlinear Kerr parameter.…

eess.SP2026

The Memory-Enhanced Gaussian Noise (MEGN) Model for Fiber-Optic Channels

Kaiquan Wu, Gabriele Liga, Marco Secondini +5

The enhanced Gaussian noise (EGN) model is widely used for estimating the nonlinear interference (NLI) power accumulated in coherent fiber-optic transmission systems. Given a fixed…

cs.IT2026

Nonlinearity Compensation for Coherent Optical Satellite Communications

Stella Civelli, Luca Potì, Enrico Forestieri +1

Optical satellite uplinks rely on high-power optical amplifiers (HPOAs) to overcome free-space attenuation and enable long-distance transmission. However, at high power levels, fib…

cs.IT2026

Soft-Decoding Reverse Reconciliation in Discrete-Modulation CV-QKD

Marco Origlia, Emanuele Parente, Marco Secondini

In continuous-variable quantum key distribution, information reconciliation is required to extract a shared secret key from correlated random variables obtained through the quantum…

cs.IT2026

Reverse Reconciliation with Soft Information for Discrete-Modulation CV-QKD at Long Range

Marco Origlia, Erdem Eray Cil, Laurent Schmalen +1

We recently introduced a reverse reconciliation scheme with soft information. In this paper, we assess its performance at ultra-low SNR, thus proving that such scheme is a versatil…

quant-ph2026

Discrete-modulation continuous-variable quantum key distribution with probabilistic amplitude shaping over a linear quantum channel

Emanuele Parente, Michele N. Notarnicola, Stefano Olivares +3

The practical implementation difficulties arising from the Gaussian modulation of the GG02 protocol lead us to investigate the possibilities offered by the combination of probabili…