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可复杂的全光学非线性激活器用于光学计算.

Caihong Teng, Xuhao Zhang, Jindao Tang

    Optics express
    |June 11, 2024
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    此摘要是机器生成的。

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    研究人员开发了一个全光学非线性激活器,使用刺激布里卢恩散射 (SBS) 来克服光学神经网络 (ONN) 的局限性. 这种基于SBS的激活器能够实现关键的非线性功能,以实现更快,更节能的光学计算.

    科学领域:

    • 光子学和光学工程 光子学和光学工程
    • 人工智能 硬件 硬件
    • 非线性光学是非线性光学.

    背景情况:

    • 电子神经网络在能源消耗和速度方面面临限制.
    • 光学神经网络 (ONN) 承诺提高性能,但缺乏高效的光学非线性.
    • 刺激布里卢恩散射 (SBS) 为光学应用提供了独特的载波动态.

    研究的目的:

    • 为 ONNs 提出和演示一个全光学非线性激活器.
    • 为了利用SBS实现基本的非线性激活功能.
    • 为了解决光学非线性在ONN开发中的瓶.

    主要方法:

    • 一个全光学非线性激活器的实验演示.
    • 使用刺激布里卢恩散射 (SBS) 进行非线性光学激活.
    • 和吸收和修正线性单位 (ReLU) 模型的实施.
    • 数字模拟以验证作为ONN映射单元的性能.

    主要成果:

    • 基于SBS的激活器支持和吸收和ReLU非线性功能.
    • 实现了大约11.24 GHz的大型动态响应带宽.
    • 显示了一个低的非线性值,约为2.29mW.

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  • 展示了高稳定性和波长分割多重复合能力.

    • 结论:

    • 拟议的SBS激活器有效地为ONN提供了光学非线性.
    • 该设备显示了实现高性能,节能全光学神经网络的潜力.
    • 模拟结果证实了与传统激活功能的性能相当的性能,为实际的ONN铺平了道路.