Photonics Research, Volume. 13, Issue 6, 1647(2025)
High-speed and versatile ONN through parametric-based nonlinear computation
Fig. 1. Experimental setup of parametric process-based ONN. DCF, dispersion compensation fiber; HNLF, highly nonlinear fiber; MLL, mode-locked laser; OSA, optical spectrum analyzer; PC, polarization controller; PD, photodetector.
Fig. 2. Simulation coding block diagram. Self-implemented simulation functions: SMF_simu( ), HNLF_simu( ), and DCF_simu( ).
Fig. 3. (a) Simulated data sample (flattened, “1”) with MNIST-digit database before nonlinear interaction in HNLF (red, frequency domain) and after HNLF (blue, time domain); (b) tendency of accuracy in relation of input power decay.
Fig. 4. (a) Encoded optical spectrum with MNIST-digit database before and after nonlinear interaction in HNLF; (b) confusion matrices with and without nonlinearity, 1200 samples; (c) confusion matrices with and without nonlinearity, 6000 samples.
Fig. 5. (a) Confusion matrices with and without nonlinearity, 1200 samples; (b) linear discriminant analysis with and without nonlinearity, 1200 samples.
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Xin Dong, Yuanjia Wang, Xiaoxiao Wen, Yi Zhou, Kenneth K. Y. Wong, "High-speed and versatile ONN through parametric-based nonlinear computation," Photonics Res. 13, 1647 (2025)
Category: Fiber Optics and Optical Communications
Received: Dec. 18, 2024
Accepted: Mar. 24, 2025
Published Online: May. 30, 2025
The Author Email: Yi Zhou (zhouyi08@hku.hk), Kenneth K. Y. Wong (kywong@eee.hku.hk)
CSTR:32188.14.PRJ.553388