scholarly journals Prediction performance of reservoir computing system based on a semiconductor laser subject to double optical feedback and optical injection

2018 ◽  
Vol 26 (8) ◽  
pp. 10211 ◽  
Author(s):  
YuShuang Hou ◽  
GuangQiong Xia ◽  
WenYan Yang ◽  
Dan Wang ◽  
Elumalai Jayaprasath ◽  
...  
2021 ◽  
Author(s):  
Dong-Zhou Zhong ◽  
Zhe Xu ◽  
Ya-Lan Hu ◽  
Ke-Ke Zhao ◽  
Jin-Bo Zhang ◽  
...  

Abstract In this work, we utilize three parallel reservoir computers using semiconductor lasers with optical feedback and light injection to model radar probe signals with delays. Three radar probe signals are generated by driving lasers constructed by a three-element lase array with self-feedback. The response lasers are implemented also by a three-element lase array with both delay-time feedback and optical injection, which are utilized as nonlinear nodes to realize the reservoirs. We show that each delayed radar probe signal can well be predicted and to synchronize with its corresponding trained reservoir, even when there exist parameter mismatches between the response laser array and the driving laser array. Based on this, the three synchronous probe signals are utilized for ranging to three targets, respectively, using Hilbert transform. It is demonstrated that the relative errors for ranging can be very small and less than 0.6%. Our findings show that optical reservoir computing provides an effective way for applications of target ranging.


2017 ◽  
Vol 27 (11) ◽  
pp. 1750169 ◽  
Author(s):  
Liyue Zhang ◽  
Wei Pan ◽  
Penghua Mu ◽  
Xiaofeng Li ◽  
Shuiying Xiang ◽  
...  

The important role of parameters in master laser with optical feedback for the elimination of time-delay (TD) signature in semiconductor laser subject to chaotic optical injection is investigated systemically. The experimental results show that TD signature suppressed chaotic signals can be credibly generated by increasing the feedback strength of the master laser, which is quite different from the trends observed in semiconductor laser (SL) with optical feedback. Systematically numerical analysis is also carried out as a validation, and it is shown that with low bias current and strong feedback strength, parameter regions contributing to successful TD suppression are much wider. Furthermore, it is shown that the influence of frequency detuning in TD concealment will change with the increase of feedback strength. All the numerical results are in perfect accordance with experimental observation.


2017 ◽  
Vol 42 (3) ◽  
pp. 375 ◽  
Author(s):  
Romain Modeste Nguimdo ◽  
Eric Lacot ◽  
Olivier Jacquin ◽  
Olivier Hugon ◽  
Guy Van der Sande ◽  
...  

2020 ◽  
Vol 59 (23) ◽  
pp. 6932
Author(s):  
Qingqing Zeng ◽  
Zhengmao Wu ◽  
Dianzuo Yue ◽  
Xiangsheng Tan ◽  
Junyao Tao ◽  
...  

Photonics ◽  
2019 ◽  
Vol 6 (4) ◽  
pp. 124 ◽  
Author(s):  
Krishan Harkhoe ◽  
Guy Van der Sande

Reservoir computing has rekindled neuromorphic computing in photonics. One of the simplest technological implementations of reservoir computing consists of a semiconductor laser with delayed optical feedback. In this delay-based scheme, virtual nodes are distributed in time with a certain node distance and form a time-multiplexed network. The information processing performance of a semiconductor laser-based reservoir computing (RC) system is usually analysed by way of testing the laser-based reservoir computer on specific benchmark tasks. In this work, we will illustrate the optimal performance of the system on a chaotic time-series prediction benchmark. However, the goal is to analyse the reservoir’s performance in a task-independent way. This is done by calculating the computational capacity, a measure for the total number of independent calculations that the system can handle. We focus on the dependence of the computational capacity on the specifics of the masking procedure. We find that the computational capacity depends strongly on the virtual node distance with an optimal node spacing of 30 ps. In addition, we show that the computational capacity can be further increased by allowing for a well chosen mismatch between delay and input data sample time.


2018 ◽  
pp. 96-101 ◽  
Author(s):  
Bruno Garbin ◽  
Giovanna Tissoni ◽  
Stephane Barland

Semiconductor lasers with optical injection may be brought to an “excitable” regime, in which they respond to external perturbations in a neuron-like way. When submitted to delayed optical feedback this system can host stable optical localized states. We characterize experimentally the excitable response of a semiconductor laser with optical injection to external perturbations for different parameter values and show that localized states may diffuse in presence of noise.


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