Photonics Research Group Home
Ghent University Journals/Proceedings
About People Research Publications Education Services


Publication detail

Authors: Y. Zhang, H. Deng, E. Soltanian, J. Zhang, G. Roelkens, W. Bogaerts
Title: A Nonlinear Activation Function for Optical Neural Networks Using a Mach-Zehnder Interferometer with a III-V-on-Si Amplifier
Format: International Conference Proceedings
Publication date: 6/2023
Journal/Conference/Book: 2023 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC)
Location: Munich, Germany
DOI: 10.1109/CLEO/Europe-EQEC57999.2023.10231574
Citations: Look up on Google Scholar
Download: Download this Publication (675KB) (675KB)


With the benefit of high speed, wide bandwidth, and low latency, optical neural networks (ONN) form a promising neuromorphic computing platform for accelerating artificial intelligence tasks. ONNs contain two kinds of fundamental functional operations: multiply-accumulate (MAC) stages and nonlinear activation function units, as shown in Fig. 1(a). In the past years, different optical MAC units have been developed using wavelength-division multiplexing (WDM) schemes [1]–[2] or coherent multipath interferometers [3]. However, the optical nonlinear activation function units still remain a challenge for the integration of large-scale ONNs. Most nonlinear activation functions are implemented in optical-electrical (OE) conversion schemes [2]–[3], where processing speed is limited by the latency time of OE conversion. Therefore, an integrated all-optical nonlinear activation function is an attractive solution for optical neuromorphic computing.

Related Research Topics

Related Projects

Back to publication list