Advanced Photonics, Volume. 4, Issue 4, 044001(2022)
Silicon-based optoelectronics for general-purpose matrix computation: a review
[1] Z. Zhou. Silicon Based Optoelectronics(2021).
[10] E. Luan et al. Silicon photonic biosensors using label-free detection. Sensors, 19, 1161(2019).
[13] K. Simonyan, A. Zisserman. Very deep convolutional networks for large scale image recognition(2015).
[14] K. He et al. Deep residual learning for image recognition(2016).
[22] G. M. Amdahl. Validity of the single processor approach to achieving large scale computing capabilities. AFIPS Conf. Proc., 483-485(1967).
[27] N. G. Karthikeyan et al. Mobile Artificial Intelligence Projects(2019).
[38] N. C. Harris et al. Accelerating artificial intelligence with silicon photonics, 1-4(2020).
[63] R. Hamerly et al. Large scale optical neural networks based on photoelectric multiplication. Phys. Rev. X, 9, 021032(2019).
[95] S. Foucart, H. Rauhut. A Mathematical Introduction to Compressive Sensing(2013).
Get Citation
Copy Citation Text
Pengfei Xu, Zhiping Zhou, "Silicon-based optoelectronics for general-purpose matrix computation: a review," Adv. Photon. 4, 044001 (2022)
Category: Reviews
Received: Apr. 24, 2022
Accepted: Jun. 10, 2022
Published Online: Jul. 7, 2022
The Author Email: Zhiping Zhou (zjzhou@pku.edu.cn)