Parallelized and Cascadable Optical Logic Operations by Few-Layer Diffractive Optical Neural Network

Autor: Xianjin Liu, Dasen Zhang, Licheng Wang, Ting Ma, Zhenzhen Liu, Jun-Jun Xiao
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Photonics, Vol 10, Iss 5, p 503 (2023)
Druh dokumentu: article
ISSN: 2304-6732
DOI: 10.3390/photonics10050503
Popis: Optical computing has gained much attention due to its high speed, low energy consumption, and the fact that it is naturally parallelizable and multiplexable, etc. Single-bit optical logic gates based on a four-hidden-layer diffractive optical neural network (DONN) have been demonstrated with paired apertures. Here, we show a parallel-logic operation strategy based on two-hidden-layer DONN, showcasing their efficiency by multiple-bit (up to 16-bit) optical logic (e.g., NAND) operations. In addition, we demonstrate how NAND-DONN units can be utilized to achieve NOR and AND operations by flipping and cascading the DONN.
Databáze: Directory of Open Access Journals