Strongly resonant polarization dynamics of pulse trains in a spin-flip model for an excitable microlaser with delayed self-feedback

Abstract Motivated by recent experimental observations concerning the polarization dynamics in an excitable microlaser with saturable absorber coupled to an external feedback mirror reported in Ruschel et al. (Opt Lett 50(8):2618, 2025), we propose here an in-depth theoretical investigation of the locked dynamics of regenerative vectorial pulse trains that this system produces. We perform a numerical bifurcation analysis of self-sustained pulse trains of a corresponding spin-flip model with delayed feedback. Its focus is on strongly resonant regimes, where the modulation of the peak intensities of polarized regenerative pulse trains locks to two, three and four times the pulse regeneration time. Specifically, we identify points of strongly resonant rotation numbers on curves of torus bifurcations in the parameter plane of the amplitude and phase anisotropy parameters, and continue emerging curves of fold and period-doubling bifurcations to identify locking regions. In this way, we clarify where pulse trains show strongly resonant polarization dynamics and highlight that even weak polarization coupling in delay-coupled microlasers creates considerable dynamical richness. These results may have impact on the design of future coupled microlaser systems for neuroinspired on-chip computing, where the polarization of an excitable pulse can be used to encode or process information.

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Publication Details

Journal
The European Physical Journal Special Topics
Published
2025-12-08
DOI
https://doi.org/10.1140/epjs/s11734-025-02082-0
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

Strongly resonant polarization dynamics of pulse trains in a spin-flip model for an excitable microlaser with delayed self-feedback

Stefan Ruschel, Sylvain Barbay, Bernd Krauskopf, Neil G. R. Broderick
The European Physical Journal Special Topics
Neural Networks and Reservoir Computing
article

Strongly resonant polarization dynamics of pulse trains in a spin-flip model for an excitable microlaser with delayed self-feedback

Stefan Ruschel, Sylvain Barbay, Bernd Krauskopf, Neil G. R. Broderick
article en

Abstract

Abstract Motivated by recent experimental observations concerning the polarization dynamics in an excitable microlaser with saturable absorber coupled to an external feedback mirror reported in Ruschel et al. (Opt Lett 50(8):2618, 2025), we propose here an in-depth theoretical investigation of the locked dynamics of regenerative vectorial pulse trains that this system produces. We perform a numerical bifurcation analysis of self-sustained pulse trains of a corresponding spin-flip model with delayed feedback. Its focus is on strongly resonant regimes, where the modulation of the peak intensities of polarized regenerative pulse trains locks to two, three and four times the pulse regeneration time. Specifically, we identify points of strongly resonant rotation numbers on curves of torus bifurcations in the parameter plane of the amplitude and phase anisotropy parameters, and continue emerging curves of fold and period-doubling bifurcations to identify locking regions. In this way, we clarify where pulse trains show strongly resonant polarization dynamics and highlight that even weak polarization coupling in delay-coupled microlasers creates considerable dynamical richness. These results may have impact on the design of future coupled microlaser systems for neuroinspired on-chip computing, where the polarization of an excitable pulse can be used to encode or process information.

The European Physical Journal Special Topics
University of Leeds (GB), Université Paris-Saclay (FR), Centre de Nanosciences et de Nanotechnologies (FR), The Dodd-Walls Centre for Photonic and Quantum Technologies (NZ)
UK Research and Innovation
Openalex Percentile: Top 79%
Neural Networks and Reservoir Computing
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