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

TL;DR

This paper provides a detailed theoretical analysis of polarization dynamics in an excitable microlaser with delayed feedback, revealing strongly resonant regimes and bifurcation structures that influence pulse train behavior.

Contribution

It introduces a bifurcation analysis of a spin-flip model with delay, identifying resonant locking phenomena and complex bifurcation structures in polarization dynamics.

Findings

Resonant locking of pulse intensities to multiples of the pulse regeneration time.

Identification of bifurcation points and locking regions in parameter space.

Weak polarization coupling induces significant dynamical complexity.

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. (2025) Opt. Lett. 50 (8) 2618], 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 2, 3 and 4 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 microlasers systems for neuroinspired on-chip computing, where the polarization of an excitable pulse can be used to encode or process information.