Multi-wavelength diffractive optical neural network integrated with 2D photonic crystals for joint optical classification.

ABSTRACT: Optical neural networks (ONNs) have demonstrated unique advantages in overcoming the limitations of traditional electronic computing through their inherent physical properties, including high parallelism, ultra-wide bandwidth, and low power consumption. As a crucial implementation of ONNs, on-chip diffractive optical neural network (DONN) offers an effective solution for achieving highly integrated and energy-efficient machine learning tasks. Notably, wavelength, as a fundamental degree of freedom in optical field manipulation, exhibits multidimensional multiplexing capabilities that can significantly enhance computational parallelism. However, existing DONNs predominantly operate under single-wavelength mechanisms, limiting the computational throughput. Here, we propose a multi-wavelength

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC12397731 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature