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30 May 2022 Polarization symmetry breaking of regenerative pulses in excitable microlasers with delayed optical feedback
Stefan Ruschel, Venkata Anirudh Pammi, Bernd Krauskopf, Neil G. R. Broderick, Sylvain Barbay
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Proceedings Volume PC12143, Nonlinear Optics and its Applications 2022; PC121430U (2022) https://doi.org/10.1117/12.2621090
Event: SPIE Photonics Europe, 2022, Strasbourg, France
Abstract
We present a detailed numerical bifurcation analysis of the dual polarisation, sustained pulsing behavior in the spin-flip model of an excitable, vertical cavity surface emitting semiconductor micro-laser with saturable absorber (VCSEL-SA) and coherent optical feedback from an external reflecting mirror. These efforts are motivated by experimental observations showing sustained polarization mode competition between successive pulses generated, and re-generated, by the delayed feedback. The bifurcation analysis suggests that this competition is stress-induced, and a result of symmetry-breaking torus bifurcations mediated by amplitude and phase anisotropy. Our results inform the wider research on the pulse regeneration properties of such devices, which can be integrated into two-dimensional arrays and, as such, are potentially relevant for various applications, such as optical communication, signal processing and neuro-morphic computing. Of particular interest to us is the device's capacity for dual-channel pulse propagation~\textemdash~the independent transmission of pulses in orthogonal polarization modes~\textemdash~which can be used to realize inhibitory coupling between purely excitable micro-lasers.
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Stefan Ruschel, Venkata Anirudh Pammi, Bernd Krauskopf, Neil G. R. Broderick, and Sylvain Barbay "Polarization symmetry breaking of regenerative pulses in excitable microlasers with delayed optical feedback", Proc. SPIE PC12143, Nonlinear Optics and its Applications 2022, PC121430U (30 May 2022); https://doi.org/10.1117/12.2621090
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KEYWORDS
Polarization
Analytical research
Anisotropy
Mirrors
Optical communications
Semiconductors
Signal processing
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