Abstract
Reservoir Computers (RC) are recurrent neural networks where most connections are fixed at random, and only output weights are trained [1]. Exhibiting memory about past inputs, RCs are perfect candidates for tasks involving signal processing, such as distortion-compensation in telecom channels. Due to their low level of complexity, RCs are easy to implement on unconventional computing platforms. A photonic RC can deliver low-cost non-electronic computation, without conversion to the electronic domain, with applications in scenarios like edge-computing [2].
© 2023 IEEE
PDF ArticleMore Like This
Lorenz Butschek, Akram Akrout, Evangelia Dimitriadou, Marc Haelterman, and Serge Massar
JW3A.122 Frontiers in Optics (FiO) 2019
Ian Bauwens, Guy Van der Sande, Peter Bienstman, and Guy Verschaffelt
jsiii_p_8 European Quantum Electronics Conference (EQEC) 2023
Ian Bauwens, Krishan Harkhoe, Peter Bienstman, Guy Verschaffelt, and Guy Van der Sande
jsiii_p_5 European Quantum Electronics Conference (EQEC) 2023