Abstract
Photonic artificial neural networks (ANN) offer a great potential for efficient image recognition, thanks to the possibility of integration, low energy dissipation, ultra-fast response times, and availability of a wealth of nonlinear optical responses [1]. We consider an ANN architecture consisting of photonic nodes implemented with semiconductor-based micropillar lasers with integrated saturable absorber which exhibit fundamental properties of biological neurons, such as excitability, refractory periods and temporal summation [2]. These nodes operate six orders of magnitude faster as compared to biological neurons. This unique property makes them particularly well-suited for applications where speed is a crucial requirement .
© 2023 IEEE
PDF ArticleMore Like This
Nikolaos-Panteleimon Diamantopoulos, Suguru Yamaoka, Takuro Fujii, Hidetaka Nishi, Toru Segawa, and Shinji Matsuo
Mo3G.2 European Conference and Exhibition on Optical Communication (ECOC) 2022
Weikang Zhang, Matěj Hejda, Qusay Raghib Ali Al-Taai, Bruno Romeira, José Figueiredo, Edward Wasige, and Antonio Hurtado
jsiii_5_5 European Quantum Electronics Conference (EQEC) 2023
Ria Talukder, Anas Skalli, and Daniel Brunner
jsiii_5_3 European Quantum Electronics Conference (EQEC) 2023