Probabilistically coupled multi-population rate equations model of 1.55 μm InAs/InP quantum dot lasers

2015 ◽  
Author(s):  
Zhiyuan Lin ◽  
Zhuoran Wang ◽  
Guohui Yuan ◽  
Meng Yang
Keyword(s):  
Quantum Dot ◽  
Rate Equations ◽  
Quantum Dot Lasers ◽  
Population Rate

Rate Equations for 1.3-$mu$m Dots-Under-a-Well and Dots-in-a-Well Self-Assembled InAs–GaAs Quantum-Dot Lasers

2006 ◽  
Vol 42 (11) ◽  
pp. 1175-1183 ◽  
Author(s):  
C.Z. Tong ◽  
S.F. Yoon ◽  
C.Y. Ngo ◽  
C.Y. Liu ◽  
W.K. Loke
Keyword(s):  
Quantum Dot ◽  
Rate Equations ◽  
Quantum Dot Lasers ◽  
Self Assembled ◽  
Gaas Quantum Dot

Linewidth Enhancement Factor Impact on Optical Feedback Mutual Coupled Quantum Dot Lasers

2021 ◽  
Vol 19 (12) ◽  
pp. 37-43
Author(s):  
Rajaa H. Abd Ali ◽  
Basim A Ghalib ◽  
Ivan B. Karomi
Keyword(s):  
Quantum Dot ◽  
Data Transmission ◽  
Enhancement Factor ◽  
Optical Feedback ◽  
Chaotic Regime ◽  
Rate Equations ◽  
Quantum Dot Lasers ◽  
Linewidth Enhancement Factor ◽  
Linewidth Enhancement ◽  
Factor Α

In this article, we numerically study and analyse the roles of linewidth enhancement factor (α) in the dynamic operation of the mutual regime of the transmitter and receiver quantum dot laser lasers supported by optical feedback. A set model of adequate rate equations describing the overall dynamics in a quantum dot system subjected to optical feedback were solved numerically. The results reveal a clear chaotic regime between the receiver and the transmitter lasers at α = 3, which is incredibly advantageous for secure optical communications and encoding decoding data transmission. Moreover, at the other value of linewidth enhancement factors, namely 2, 2.5, 3.5 and 4, the optical regime works in high synchronisation with either periodic or steady state forms.

scholarly journals Dynamic Response Prediction of Bi-State Emission of Quantum Dot Lasers Based on Machine Learning

2021 ◽  
Author(s):  
Wild Freitas da Silva Santos ◽  
Eduardo Furtado Simas Filho ◽  
George André Pereira Thé
Keyword(s):  
Quantum Dot ◽  
Extreme Learning Machine ◽  
Optical Power ◽  
Operating Conditions ◽  
Rate Equations ◽  
Total Power ◽  
Design Parameters ◽  
Testing Time ◽  
Quantum Dot Lasers ◽  
Learning Machine

Abstract Dual-state emission is a common and important phenomenon which takes place in semiconductor Quantum Dot Lasers at different temperature and operating conditions usually investigated from microscopic carrier interaction modeling or even rate-equations based approaches. In this study, we revisit the topic, but the investigation is here performed from a system identification perspective; we built black-box models based on artificial neural networks approach, using the Multilayer Perceptron, the Extreme Learning Machine and a hybrid Echo State Network - Extreme Learning Machine. As a case study, we focused on switch-on transient and its prediction. The study revealed the model was able to separate and to predict, from the solely total power, without using any QDL design parameters, the optical power around the ground state and first excited state lasing lines of InAs/InGaAs quantum dot laser. The error performance was low as a RMSE of 2.81 μW and MAPE of 0.50% with processing time (training and testing time) of 15.27 s, enabling the alternative model to be used in optical filtering instrumentation as low-resolution and low-cost filters for applications in which it is not economically viable to use a spectrum analyzer, which can be replaced by a simple optical power meter.

scholarly journals Spectral Analysis of 1.55-$\mu$m InAs–InP(113)B Quantum-Dot Lasers Based on a Multipopulation Rate Equations Model

2009 ◽  
Vol 45 (7) ◽  
pp. 872-878 ◽  
Author(s):  
FrÉdÉric Grillot ◽  
Kiril Veselinov ◽  
Mariangela Gioannini ◽  
Ivo Montrosset ◽  
Jacky Even ◽  
...  
Keyword(s):  
Spectral Analysis ◽  
Quantum Dot ◽  
Rate Equations ◽  
Quantum Dot Lasers
Sign in / Sign up

Export Citation Format

Share Document