Scalable and compact photonic neural chip with low learning-capability-loss

Scalable and compact photonic neural chip with low learning-capability-loss

Photonic computation has garnered huge attention due to its great potential to accelerate artificial neural network tasks at much higher clock rate to digital electronic alternatives. Especially, reconfigurable photonic processor consisting of Mach–Zehnder interferometer (MZI) mesh is promising for...

Full description

Bibliographic Details
Main Authors: Tian Ye, Zhao Yang, Liu Shengping, Li Qiang, Wang Wei, Feng Junbo, Guo Jin
Format: Article
Language:English
Published: De Gruyter 2021-12-01
Series:Nanophotonics
Subjects:
neural network
photonic computation
silicon photonics
Online Access:https://doi.org/10.1515/nanoph-2021-0521

Internet

https://doi.org/10.1515/nanoph-2021-0521

Similar Items