activity
20172025
most citedDeep Photonic Reservoir Computer Based on Frequency Multiplexing with Fully Analog Connection Between Layers

47 citations · 101 across the 10 of their papers we have counts for

collaborators

10 papers

physics.optics2025★ 1 cited

Regimes and Transitions of the Nonlinear Temporal Talbot Effect: Underlying Mechanism for A-Type Breathers, Soliton Crystals, and Soliton Gas

Marina Zajnulina

A frequency comb generated from a phase-modulated continuous-wave laser is simultaneously subject to the temporal Talbot effect and modulational instability (MI) when propagating t…

physics.optics2024★ 1 cited

Shannon Entropy Helps Optimize the Performance of a Frequency-Multiplexed Extreme Learning Machine

Marina Zajnulina

Knowing the dynamics of neuromorphic photonic schemes would allow their optimization for controlled data-processing capability in possibly simplified designs and minimized energy c…

nlin.PS2024

Ising Hamiltonian for Coupled Fibre-Based Optical Parametric Oscillators

Marina Zajnulina

Here, I derive an Ising Hamiltonian for coupled fibre-based Optical Parametric Oscillators (OPOs). For this, I use the Lugiato-Lefever equation. The derivation of the Hamiltoni…

physics.optics2024★ 8 cited

Temporal Talbot Effect: From a Quasi-Linear Talbot Carpet to Soliton Crystals and Talbot Solitons

Marina Zajnulina, Michael Böhm

The temporal Talbot effect refers to the periodic self-imaging of pulse trains in optical fibers. The connection between the linear and nonlinear temporal Talbot effect is still no…

physics.optics2023

Weak Kerr Nonlinearity Boosts the Performance of Frequency-Multiplexed Photonic Extreme Learning Machines: A Multifaceted Approach

Marina Zajnulina, Alessandro Lupo, Serge Massar

We provide a theoretical, numerical, and experimental investigation of the Kerr nonlinearity impact on the performance of a frequency-multiplexed Extreme Learning Machine (ELM). In…

cs.ET2023★ 47 cited

Deep Photonic Reservoir Computer Based on Frequency Multiplexing with Fully Analog Connection Between Layers

Alessandro Lupo, Enrico Picco, Marina Zajnulina +1

Reservoir computers (RC) are randomized recurrent neural networks well adapted to process time series, performing tasks such as nonlinear distortion compensation or prediction of c…

q-bio.TO2022★ 1 cited

Advances of Artificial Intelligence in Classical and Novel Spectroscopy-Based Approaches for Cancer Diagnostics. A Review

Marina Zajnulina

Cancer is one of the leading causes of death worldwide. Fast and safe early-stage, pre- and intra-operative diagnostics can significantly contribute to successful cancer identifica…

nlin.PS2017★ 15 cited

Characteristics and stability of soliton crystals in optical fibres for the purpose of optical frequency comb generation

M. Zajnulina, M. Böhm, D. Bodenmüller +4

We study the properties of a soliton crystal, an bound state of several optical pulses that propagate with a fixed temporal separation through the optical fibres of the proposed ap…

nlin.PS2017★ 6 cited

Soliton Radiation Beat Analysis of Optical Pulses Generated from Two CW Lasers

M. Zajnulina, M. Böhm, K. Blow +4

We propose a fibre-based approach for generation of optical frequency combs (OFCs) with the aim of calibration of astronomical spectrographs in the low and medium-resolution range.…

physics.optics2017★ 22 cited

Generation of optical frequency combs via four-wave mixing processes for low- and medium-resolution astronomy

M. Zajnulina, J. M. Chavez Boggio, M. Böhm +4

We investigate the generation of optical frequency combs through a cascade of four-wave mixing processes in nonlinear fibres with optimised parameters. The initial optical field co…