Darko Zibar

We present a comprehensive phase noise characterization of a mid-IR Cr:ZnS frequency comb. Despite their emergence as a platform for high-resolution dual-comb spectroscopy (DCS), detailed investigations into the phase noise of Cr:ZnS combs have been lacking. To address this, we use a recently proposed phase noise measurement technique that employs multi-heterodyne detection and subspace tracking.

We present and experimentally evaluate the use of transfer learning to address experimental data scarcity when training neural network (NN) models for Mach–Zehnder interferometer mesh-based optical matrix multipliers. Our approach involves pretraining the model using synthetic data generated from a less accurate analytical model and fine-tuning it with experimental data.

[Submitted on 11 Sep 2023 ( v1 ), last revised 31 Jul 2024 (this version, v2)] Title:A comparison between black-, grey- and white-box modeling for the bidirectional Raman amplifier optimization View a PDF of the paper titled A comparison between black-, grey- and white-box modeling for the bidirectional Raman amplifier optimization, by Metodi P.