研究目的
To improve the phase noise robustness of a spatially parallel reservoir computer based on a coherent photonic cavity without active stabilization.
研究成果
The study demonstrates that multi-phase training and a new readout layer architecture significantly improve the phase noise robustness of the reservoir computer. The approach is not specific to the experimental system and could find applications in other reservoir computing implementations affected by slowly varying system parameters.
研究不足
Implementing the new readout layer architecture (RLA) currently requires active phase control or independent phase measurements to train the two additional outputs.
1：Experimental Design and Method Selection:
The study proposes strategies to enhance the phase noise robustness of a spatially parallel optical reservoir computer. It utilizes a linear Fabry-Pérot resonator with neurons encoded as a grid of focused spots and a nonlinear readout.
2：Sample Selection and Data Sources:
The system is under development in the laboratory, with numerical results presented for the 4-level channel equalization and NARMA10 tasks.
3：List of Experimental Equipment and Materials:
The setup includes a Spatial Light Modulator (SLM) for neuron coupling.
4：Experimental Procedures and Operational Workflow:
The coupling between neurons is optimized for each task, with performance evaluated under varying phase conditions.
5：Data Analysis Methods:
The mean squared error (MSE) is used to assess performance under different phase noise conditions.
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