Space-efficient optical computing with an integrated chip diffractive neural network

Large-scale, highly integrated and low-power-consuming hardware is becoming progressively more important for realizing optical neural networks (ONNs) capable of advanced optical computing. Traditional experimental implementations need N(2) units such as Mach-Zehnder interferometers (MZIs) for an inp...

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Detalles Bibliográficos
Autores principales: Zhu, H. H., Zou, J., Zhang, H., Shi, Y. Z., Luo, S. B., Wang, N., Cai, H., Wan, L. X., Wang, B., Jiang, X. D., Thompson, J., Luo, X. S., Zhou, X. H., Xiao, L. M., Huang, W., Patrick, L., Gu, M., Kwek, L. C., Liu, A. Q.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8873412/
https://www.ncbi.nlm.nih.gov/pubmed/35210432
http://dx.doi.org/10.1038/s41467-022-28702-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8873412/
https://www.ncbi.nlm.nih.gov/pubmed/35210432
http://dx.doi.org/10.1038/s41467-022-28702-0

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