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所有光学芯片上的非线性激活功能用于多波长计算.

Gongyu Xia, Jiacheng Liu, Pingyu Zhu

    Optics express
    |June 14, 2025
    PubMed
    概括

    研究人员开发了一个全光学非线性激活单元,用于多波长计算. 这种基于的设备模仿神经网络功能,在光学计算进步的MNIST数据集上达到98.84%的准确性.

    科学领域:

    • 光子学 是一个光子学.
    • 光学计算是指光学计算的应用.
    • 材料科学 材料科学 材料科学

    背景情况:

    • 光学神经网络需要高效的非线性激活功能.
    • 现有的解决方案在多波长系统中经常面临局限性.
    • 光子学为集成光学设备提供了一个有前途的平台.

    研究的目的:

    • 提出和实验验证一个全光在芯片上的非线性激活功能单元.
    • 为了利用的两光子吸收和热光学效应来实现光学非线性.
    • 为了证明该单元在多波长计算和光学神经网络中的能力.

    主要方法:

    • 使用模拟的设备设计和参数优化.
    • 拟议的基于的光学单元的制造.
    • 实验测试以获得单元的响应曲线.
    • 在分类任务中进行绩效评估的数值模拟.

    主要成果:

    • 通过实验实现了一个类似于CELU的非线性响应曲线.
    • 在MNIST数据集上显示了98.84%的高识别精度.
    • 验证了该单元在光学神经网络应用中的有效性.

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    结论:

    • 开发的全光学单元有效地实现了芯片上的非线性激活功能.
    • 这项工作弥合了多波长光学计算的关键差距.
    • 这些发现有助于推进高效和强大的光学计算平台.