IMX Talks - A magnonic matrix device for parallel convolutional processing

Speaker: Prof. Sebastiaan van Dijken, Department of Applied Physics Aalto University, Finland Organiser: Prof. Dirk Grundler <p>The growing computational demands of artificial intelligence are exposing fundamental limits of electronic and photonic accelerators, spurring a search for alternative physical computing hardware capable of efficient matrix-vector multiplication (MVM). Magnonic systems, which encode information in propagating spin waves, offer low-power signal transport and wavelengths well suited to dense on-chip integration, yet their potential for parallel computing remains largely unexplored. Here we present magnonic matrix devices, built from low-loss yttrium iron garnet (YIG) waveguide networks, that