Skyrmion based energy-efficient straintronic physical reservoir computing

Physical Reservoir Computing (PRC) is an unconventional computing paradigm, which exploits nonlinear dynamics of reservoir blocks to perform recognition and classification tasks. Here we show with simulations that patterned thin films hosting several skyrmions, particularly one, two, four nine can implement energy efficient computing. This (RC) block based on breathing are coupled each other through dipole interaction spin waves, in response a voltage generated strain. magnetization exploited temporal pattern recognition. Two performance metrics, namely Short-Term Memory (STM) Parity Check (PC) capacity studied demonstrate the potential such skyrmion PRC addition showing it classify sine square waves 100% accuracy. Furthermore, our study demonstrates coupling have strong influence STM PC capacity, thus explaining role physical interactions dynamical system its ability (RC).