This analysis reveals how controlling polarization influences chaotic behavior and emission stability in laser diodes, suggesting potential applications in neural networks.
An edge-emitting, quantum well, influencer laser diode (ILD) is used to operate in a free manner, solitarily, to feed forward (FF) another two identical laser sources subjected to self-optoelectronic feedback. The signal of ILD is divided into a 90:10 percentage before controlling each part’s polarization and modulating each of them in each one of the two follower laser diodes (FLDs). Such a configuration offers lasing with chaoticity at different levels from the last two lasers. This scenario is simulating symmetry and asymmetry or remaining possibilities according to each FLD emission. Results confirmed the possibility to achieve periodic emission (order) from such a duality generated by FLDs. In the case of changing polarization degree, the summation of output signal spectroscopy founded satisfies sin and poly4 mathematical functions for applied polarization against observed peak height and FWHM, respectively. In case, the polarization state is also changed, the last relations are founded to satisfy poly5 and exponential, respectively. These statistics indicate that variation in polarization gives rise to chaoticity in some cases and coherence in others. This is based on parameters that translate the laser system from one stability state to multistability. The results are generalized to include a new approach which is the symmetry-asymmetry unidirectional interactions, namely, FF. Such interactions are very attractive in understanding applications such as neural networks. The latter considers chaotic dynamics and chaotic synchronization as a key effect in their operations.
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Abbas et al. (2025) studied this question.
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