Single-shot matrix-matrix photonic processor based on spatial-spectral hypermultiplexed parallel diffraction.

ABSTRACT: The ever-increasing data demand craves advancements in high-speed and energy-efficient computing hardware. Analog optical neural network (ONN) processors have emerged as a promising solution, offering benefits in bandwidth and energy consumption. However, existing ONN processors exhibit limited computational parallelism, and while certain architectures achieve high parallelism, they encounter serious scaling up roadblocks for large-scale implementation. Here, we introduce a spatial-wavelength-temporal hyper-multiplexed ONN processor, which is based on parallel diffractive beam routing. The architecture supports high three-dimensional data, high O(N³) computing parallelism, and is feasible for large-scale implementation. A 16 × 16 parallel diffractive beam routing is demonstrated

SUBMITTER: Luan C 

PROVIDER: S-EPMC12804968 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature