  The ever increasing demand for computational power combined with the
predicted plateau for the miniaturization of existing silicon-based
technologies has made the search for low power alternatives an industrial and
scientifically engaging problem. In this work, we explore spintronics-based
Ising machines as hardware computation accelerators. We start by presenting the
physical platforms on which this emerging field is being developed, the
different control schemes and the type of algorithms and problems on which
these machines outperform conventional computers. We then benchmark these
technologies and provide an outlook for future developments and use-cases that
can help them get a running start for integration into the next generation of
computing devices.
