PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
We propose a novel implementation of autonomous photonic neural networks based on optically-addressed spatial light modulators (OASLMs). In our approach, the OASLM operates as a spatially non-uniform birefringent waveplate, the retardation of which nonlinearly depends on the incident light intensity. We develop a complete electrical and optical model of the device and investigate the optimal operational characteristics. We study both, feed-forward and recurrent neural networks and demonstrate that OASLMs are promising candidates for the implement of autonomous photonic neural networks with large numbers of neurons and ultra low energy consumption.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
The alert did not successfully save. Please try again later.
Vladimir Semenov, Xavier Porte, Maxime Jacquot, Laurent Larger, Ibrahim Abdulhalim, Daniel Brunner, "Optically addressed spatial light modulators for photonic neural network implementations," Proc. SPIE 11469, Emerging Topics in Artificial Intelligence 2020, 1146905 (20 August 2020); https://doi.org/10.1117/12.2570607