“Phase transitions” in small systems: Why standard threshold definitions fail for nanolasers

Lippi, G. L.; Wang, T.; Puccioni, G. P.

doi:10.1016/j.chaos.2022.111850

Cited by 12 publications

(17 citation statements)

References 129 publications

(211 reference statements)

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“…In this threshold regime, a progressive growth in the coherent field caused by the stimulated emission was observed [ 97 ]. Such a progressively smoother transition was more frequently observed in a micro-/nano-laser than in a macroscopic laser [ 98 ]. A further statistical analysis of the fluctuation correlation among the above RL spectrum replicas resulted in a replica symmetry breaking (RSB) observation around the threshold [ 99 ].…”

Section: Rl Emission Propertiesmentioning

confidence: 99%

Properties and Applications of Random Lasers as Emerging Light Sources and Optical Sensors: A Review

Späth

Klämpfl

et al. 2022

Sensors

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In a random laser (RL), optical feedback arises from multiple scattering instead of conventional mirrors. RLs generate a laser-like emission, and meanwhile take advantage of a simpler and more flexible laser configuration. The applicability of RLs as light sources and optical sensors has been proved. These applications have been extended to the biological field, with tissues as natural scattering materials. Herein, the current state of the RL properties and applications was reviewed.

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Section: Rl Emission Propertiesmentioning

confidence: 99%

Properties and Applications of Random Lasers as Emerging Light Sources and Optical Sensors: A Review

Späth

Klämpfl

et al. 2022

Sensors

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“…This discrepancy indicates the deviation of the microlaser behavior from the thermodynamic limit, which applies quite satisfactorily to macroscopic lasers. 1,30 At the same time, this immediately highlights an issue for the interpretation of experimental data. Being compelled to infer the threshold position from experimental results by selecting the point where g (n) (0) = n!…”

Section: Noise-free Laser Signal Analysismentioning

confidence: 97%

“…26 Nevertheless, certain critical threshold features were identified early on [27][28][29][30][31][32][33] and have since been the subject of lively debate. [34][35][36] Only recently has the concept of threshold definition been broadened to acknowledge that at the micro-and nanoscale, there are multiple definitions that pertain to separate points, contingent upon the quantity being analyzed 1,37 Advanced quantum mechanical models are now emerging in a context where quantum effects are significant due to the small scale, despite the averaging over tens of active emitters interacting with a cavity which possesses a limited number of resonant modes. [38][39][40][41] One significant factor in understanding the physics of laser threshold at the nanoscale, and the microscale as well, is the constraints related to measurement techniques.…”

Section: Physical Peculiarities Of Nanolasersmentioning

confidence: 99%

“…32,48,49 Consequently, the legitimacy of questioning the possible disappearance of, or the emergence of substantial modifications to, the deterministic dynamics appears fully justified. At the same time, the realization that an effective cavity volume reduction leads to increased stability, 1,49 which has been shown to introduce stronger robustness of the laser response against noise, 3,50 appears to be a valid mechanism for preserving a deterministic dynamics, thus leading to a contradiction. Finally, the complex transition through the threshold for micro-and, especially, nanolasers complicates the questions surrounding threshold.…”

Section: Nanolaser Dynamicsmentioning

confidence: 99%

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Statistics and dynamics in micro- and nanolasers

Puccioni,

Wang,

Lippi

2024

Semiconductor Lasers and Laser Dynamics XI

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We consider two issues concerning the dynamics of nanolasers: the impact of their large noise on the deterministic trajectories and the interpretation of the statistical results coming from the photon statistics. The second issue, due to the lack of sufficiently sensitive and fast detectors, represents an unavoidable bottleneck in the analysis of any dynamics and is discussed in detail. Our study reveals several important results. Statistics and dynamics provide complementary information, but the former is not able to reliably distinguish different dynamical regimes. Inferring a coherence emission regime, or degree of coherence, from autocorrelation functions is fraught with interpretative traps. Finally, we address the challenge posed by external noise, which dramatically distorts the statistical information derived from the autocorrelations. We introduce an empirical indicator capable of identifying the lowest pump value from which autocorrelation values become reliable, based on a single sequence of noisy data that can be applied to the same-time, second-order autocorrelation function. This indicator is a valuable tool for experimentalists.

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“…By separating different channel emissions, the S-S model allows for more accurate analysis of laser dynamics. In addition, although the conventional rate equations possess the indubitable merit of providing a wealth of information about laser dynamics, they fail to simulate the dynamics around threshold region, in particular for high-β lasers, since people just introduce the averaged background noisy field into the lasing mode [39]. This incorrect description may also lead people to overlooking the threshold region without any further consideration.…”

Section: Computational Concept and Modelmentioning

confidence: 99%

Reservoir Computing and Task Performing through Using High-β Lasers with Delayed Optical Feedback

Wang¹,

Jiang²,

Fang³

et al. 2023

PIER

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Nonlinear photonic sources including semiconductor lasers have been recently utilized as ideal computation elements for information processing. They supply energy-efficient way and rich dynamics for classification and recognition tasks. In this work, we propose and numerically study the dynamics of complex photonic systems including high-β laser element with delayed feedback and functional current modulation, and employ nonlinear laser dynamics of near-threshold region for the application in time-delayed reservoir computing. The results indicate a perfect (100%) recognition accuracy for the pattern recognition task and an accuracy about 98% for the Mackey-Glass chaotic sequences prediction. Therefore, the system shows an improvement of performance with low-power consumption. In particular, the error rate is an order of magnitude smaller than previous works. Furthermore, by changing the DC pump, we are able to modify the number of spontaneous emission photons of the system, which then allows us to explore how the laser noise impacts the performance of the reservoir computing system. Through manipulating these variables, we show a deeper understanding on the proposed system, which is helpful for the practical applications of reservoir computing.

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“Phase transitions” in small systems: Why standard threshold definitions fail for nanolasers

Cited by 12 publications

References 129 publications

Properties and Applications of Random Lasers as Emerging Light Sources and Optical Sensors: A Review

Properties and Applications of Random Lasers as Emerging Light Sources and Optical Sensors: A Review

Statistics and dynamics in micro- and nanolasers

Reservoir Computing and Task Performing through Using High-β Lasers with Delayed Optical Feedback

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