  The Reservoir Computing (RC) paradigm posits that sufficiently complex
physical systems can be used to massively simplify pattern recognition tasks
and nonlinear signal prediction. This work demonstrates how random topological
magnetic textures present sufficiently complex resistance responses for the
implementation of RC as applied to A/C current pulses. In doing so, we stress
how the applicability of this paradigm hinges on very general dynamical
properties which are satisfied by a large class of physical systems where
complexity can be put to computational use. By harnessing the complex
resistance response exhibited by random magnetic skyrmion textures and using it
to demonstrate pattern recognition, we explain how spintronically accessible
magnetic systems offer an advantage in the search for an ideal reservoir
computer. The low-power properties of compact skyrmion fabrics, coupled with
their CMOS integrability operating on similar length and timescales, open the
door for their RC employment geared towards industrial application.
