  Recent studies have shown that nonlinear magnetization dynamics excited in
nanostructured ferromagnets are applicable to brain-inspired computing such as
physical reservoir computing. The previous works have utilized the
magnetization dynamics driven by electric current and/or magnetic field. This
work proposes a method to apply the magnetization dynamics driven by voltage
control of magnetic anisotropy to physical reservoir computing, which will be
preferable from the viewpoint of low-power consumption. The computational
capabilities of benchmark tasks in single MTJ are evaluated by numerical
simulation of the magnetization dynamics and found to be comparable to those of
echo-state networks with more than 10 nodes.
