Photonic analog signal processing and neuromorphic computing
In this review paper, we discuss the properties and applications of photonic computing and
analog signal processing. Photonic computational circuits have large operation bandwidth …
analog signal processing. Photonic computational circuits have large operation bandwidth …
Integrated photonic neuromorphic computing: opportunities and challenges
Using photons in lieu of electrons to process information has been an exciting technological
prospect for decades. Optical computing is gaining renewed enthusiasm, owing to the …
prospect for decades. Optical computing is gaining renewed enthusiasm, owing to the …
Nonlinear dynamics in neuromorphic photonic networks: Physical simulation in Verilog-A
Advances in silicon photonics technology have enabled the field of neuromorphic photonics,
where analog neuron-like processing elements are implemented in silicon photonics …
where analog neuron-like processing elements are implemented in silicon photonics …
Foundry fabricated compact slow-light Mach-Zehnder modulator and photodetector for on-chip analog photonic computing
A Begović, M Zhang, D Yin, N Gangi, J Gu… - Optics …, 2024 - opg.optica.org
This work presents a scaling pathway of on-chip analog photonic computing using foundry-
fabricated silicon electro-optic (EO) slow-light Mach-Zehnder modulators (SL-MZMs) and …
fabricated silicon electro-optic (EO) slow-light Mach-Zehnder modulators (SL-MZMs) and …
Scalable and Energy-Efficient Photonic Neural Networks Through Convolution Compression
Y Li, B Wang, T Xu, S Liu, Q **ao… - … Conference (ACP) and …, 2024 - ieeexplore.ieee.org
This work experimentally demonstrates a convolution compression method to realize
scalable and energy-efficient photonic neural networks. Our method achieves a 52-fold …
scalable and energy-efficient photonic neural networks. Our method achieves a 52-fold …
[HTML][HTML] 光学卷积计算的进展与挑战 (特邀)
周浩军, 周海龙, 董建绩 - Acta Optica Sinica, 2024 - opticsjournal.net
摘要卷积计算作为数学运算方法里的一项重要算子, 在信号处理和人工智能领域有着重要的意义
. 卷积神经网络(CNN) 作为深度学**领域最重要的网络之一, 在计算机视觉和自然语言处理等 …
. 卷积神经网络(CNN) 作为深度学**领域最重要的网络之一, 在计算机视觉和自然语言处理等 …