Abstract
In the context of developing new architectures for Neural Networks (NNs) in Photonics, optical reservoir computing is a suitable candidate to fully integrate those systems. In telecommunications, it could potentially allow to reduce energy consumption as well as the number of data processing operations and suppress the need to transduce signals between electronics and optics [1]. Semiconductor lasers (SLs) can provide a highly nonlinear environment, thus a hardware reservoir for computation [2]. A common issue in trying to fully integrate photonic reservoirs is the absence of adjustable hardware output weights. This is tackled here using a digital micromirror device, which allows to spatially select spectral components of the signal, providing tuneable Boolean output weights. A schematic of the experiment is shown in Fig1(a).
© 2023 IEEE
PDF ArticleMore Like This
Elizabeth Robertson, Anas Skalli, Romain Lance, Xavier Porte, Janik Wolters, and Daniel Brunner
jsiii_p_1 European Quantum Electronics Conference (EQEC) 2023
Anas Skalli, Xavier Porte, Nasibeh Haghighi, Stephan Reitzenstein, James A. Lott, and Daniel Brunner
jsiii_2_4 European Quantum Electronics Conference (EQEC) 2023
Ivan Boikov, Daniel Brunner, and Alfredo de Rossi
jsiii_2_1 European Quantum Electronics Conference (EQEC) 2023