研究目的
Investigating the parallel processing capability of a reservoir computing system based on two mutually coupled semiconductor lasers for nonlinear channel equalization and Santa-Fe time series prediction tasks.
研究成果
The RC system based on two mutually coupled semiconductor lasers demonstrates excellent parallel processing capability for both nonlinear channel equalization and Santa-Fe time series prediction tasks. Optimal performance is achieved with specific parameter settings, indicating the system's potential for high-speed and high-accuracy information processing.
研究不足
The study is based on numerical simulations, and practical implementation may face challenges such as parameter sensitivity and hardware constraints.
1：Experimental Design and Method Selection:
The study numerically investigates the parallel processing capability of a reservoir computing system using two mutually coupled semiconductor lasers. The system's performance is evaluated through nonlinear channel equalization and Santa-Fe time series prediction tasks.
2：Sample Selection and Data Sources:
Santa-Fe data set for time series prediction and a dataset generated for nonlinear channel equalization are used.
3：List of Experimental Equipment and Materials:
Two mutually coupled semiconductor lasers (SL1 and SL2), a drive SL (D-SL), and modulators for signal injection.
4：Experimental Procedures and Operational Workflow:
The system processes two different signals simultaneously, converting them into masked input signals which are then injected into the reservoir. The output intensities of the SLs are interpreted as states of virtual network nodes.
5：Data Analysis Methods:
Performance is evaluated using normalized mean-square error (NMSE) for prediction tasks and symbol error rate (SER) for classification tasks.
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