Design and Implementation of diffraction grating based on 10.6μm all-optical depth neural network
CSTR:
Author:
Affiliation:

1.Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science & Technology University, Beijing 100192, China;2.Beijing ZX Intelligent Chip Technology Co., Ltd., Beijing 100876,China;3.The 11th Research Institute of China Electronic Science & Technology Group Inc., Beijing 100015,China

Clc Number:

TP183

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    The photonic artificial intelligent chip performs calculations at the speed of light, and has the advantages of low power consumption, low delay, and anti-electromagnetic interference. Miniaturization and integration are the key steps to realize this technological innovation. In this paper, lithography is applied to the fabrication of diffraction gratings. A design and implementation method of all-optics diffraction deep learning neural network grating based on 10.6 micron laser is proposed. Since the wavelength of the light source evolved from the millimeter wave to micrometer wave, the characteristic scale of the neuron are reduced to 20 micrometers. Compared with the existing optical computing neural network, the feature size of the deep learning neural network is reduced by 80 times, which laid the foundation for further large-scale integration of photonic computing chips.

    Reference
    Related
    Cited by
Get Citation

NIU Hai-Sha, YU Ming-Xin, ZHU Bo-Fei, YAO Qi-Feng, ZHANG Qian-Kun, LU Li-Dan, ZHU Lian-Qing, ZHONG Guo-Shun. Design and Implementation of diffraction grating based on 10.6μm all-optical depth neural network[J]. Journal of Infrared and Millimeter Waves,2020,39(1):13~18

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:April 14,2019
  • Revised:December 16,2019
  • Adopted:August 29,2019
  • Online: January 07,2020
  • Published:
Article QR Code