2023/02/03 by Giulia Marcucci, Marcucci, Giulia, Piergiorgio Caramazza +3 · 1 citation
Computer Science · Engineering · #Advanced Memory and Neural Computing #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Hardware Architecture (cs.AR) #Neural Networks and Applications #Neural Networks and Reservoir Computing #Pattern Formation and Solitons (nlin.PS)
paper · pdf · doi:10.48550/arxiv.2302.01978
openalex publication_date 2023/02/03 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Nonlinear waves have played a historical role in laying the foundations of the science of complexity. Recently, they have also allowed the development of a new reservoir computing paradigm: neuromorphic computing by waves. In these systems, the information transmission acts as the excitation of wave dynamics, whose evolution processes the information to perform complex tasks at low energy consumption. To enable nonlinear hydrodynamic waves to do computing, we designed the Aqua-Photonic-Advantaged Computing Machine by Artificial Neural Networks (Aqua-PACMANN), a system where wave propagation in shallow water is the leading physical phenomenon, and the presence of electronics can be reduced to a CCD camera in detection. We show the realization of an XNOR logic gate as proof of concept of the Aqua-PACMANN's architecture and pave the way to a new class of fluid dynamic neuromorphic computing.