Photonics Research, Volume. 13, Issue 3, 728(2025)

Heterogeneous forecasting of chaotic dynamics in vertical-cavity surface-emitting lasers with knowledge-based photonic reservoir computing

Liyue Zhang*, Chenkun Huang, Songsui Li, Wei Pan, Lianshan Yan, and Xihua Zou
Author Affiliations
  • Center for Information Photonics and Communications, Southwest Jiaotong University, Chengdu 611756, China
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    Figures & Tables(12)
    Heterogeneous forecasting scheme using photonic time-delayed reservoir computing combined with an imperfect dynamical model.
    Predicted performance NMSE of isolated TDRC: (a) NMSE as a function of the input gain coefficient γ; (b) NMSE as a function of the self-feedback strength kf; (c) NMSE as a function of the injection strength from the light source σ with frequency detuning Δvs=−4.7 GHz.
    Predictive performance of isolated TDRC (a), (b) compared to knowledge-based photonic reservoir computing with respect to error coefficients η1 for deviated self-feedback strength (c) and dynamical state mismatch η2 (d).
    Predictive performance for chaotic dynamics generated by a VCSEL with (a) isolated TDRC and (b) heterogeneous TDRC; the prediction error between the original data and isolated TDRC (c), heterogeneous predicted signal (d).
    Robustness of the prediction performance of heterogeneous TDRC and isolated TDRC for different original data. NMSE as a function of self-feedback strength γf (a) and current coefficient μ (b) in spin-flip model of a VCSEL as shown in Eqs. (1)–(4); (c),(d) are the zoomed-in views of (a), (b).
    Effects of the complexity of the original signal on predictive performance. Evolutions of the polarization state plotted on the normalized Poincaré sphere for polarizer angles (a) θp=10° and (b) θp=50°; (c) NMSE as a function of polarizer angle for isolated TDRC and heterogeneous TDRC; (d) zoomed-in view of (c).
    Two-dimensional evolution of NMSE in parameter spaces of pf×Δfs and σ×kf for (a), (b) isolated TDRC and (c), (d) heterogeneous TDRC.
    Prediction accuracy NMSE of heterogeneous TDRC and isolated TDRC with different number of virtual nodes NR (a1); virtual node intervals θ (a2); size of training dataset Kv (a3). (b1)–(b3) show the zoomed-in view of NMSE for heterogeneous TDRC.
    Diagram of the heterogeneous TDRC experimental setup (includes the input and reservoir layers shown in Fig. 1). AWG, arbitrary waveform generator; OSC, oscilloscope; EDFA, erbium-doped fiber amplifier.
    Predictive performance NMSE of isolated TDRC and heterogeneous TDRC under different (a) self-feedback strengths with σ=5 mW and (b) optical injection strengths with kf=2 μW. In experiments, predictive performance for chaotic dynamics generated by a VCSEL with (c) isolated TDRC prediction and the prediction error between the original data and isolated TDRC, and (d) heterogeneous TDRC prediction and the prediction error between the original data and heterogeneous TDRC.
    • Table 1. Parameter Values for a VCSEL with Variable Polarization Optical Feedback

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      Table 1. Parameter Values for a VCSEL with Variable Polarization Optical Feedback

      ParameterSymbolValue
      Linewidth enhancement factorαv3
      Attenuation rateκ300  ns1
      Linear dichroismγα0.5  ns1
      Linear birefringenceγp30  ns1
      Decay rate of the spin-flip rateγs50  ns1
      Decay rate of NγN1  ns1
      Spontaneous radiation coefficientμ2.5
      Feedback delayτv1ns
    • Table 2. Values of Parameters for the Reservoir Lasers

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      Table 2. Values of Parameters for the Reservoir Lasers

      ParameterSymbolValue
      Linewidth enhancement factorαr3
      Differential gaing1.5×104  m3s
      Carrier density at transparencyN01.4×1024  m3
      Gain saturationε2×1023
      Intensity of light sourceIs6.56×1020  m3s1
      Response laser output frequencyfs1.96×1015  Hz
      Photon lifetimeτp1.927 ps
      Carrier lifetimeτe2.04 ns
      Current factorpf1.05
      Threshold current of the response lasersJth0.9892×1033  m3s1
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    Liyue Zhang, Chenkun Huang, Songsui Li, Wei Pan, Lianshan Yan, Xihua Zou, "Heterogeneous forecasting of chaotic dynamics in vertical-cavity surface-emitting lasers with knowledge-based photonic reservoir computing," Photonics Res. 13, 728 (2025)

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    Paper Information

    Category: Optoelectronics

    Received: Jul. 31, 2024

    Accepted: Jan. 12, 2025

    Published Online: Mar. 3, 2025

    The Author Email: Liyue Zhang (lyzhang@swjtu.edu.cn)

    DOI:10.1364/PRJ.538181

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