Optimal switching of a nanomagnet assisted by microwaves

TL;DR

This paper presents a novel optimal control method for designing microwave fields that efficiently switch nanomagnet magnetization with minimal energy, considering static field effects and damping, validated by experiments.

Contribution

It introduces an exact solution for the 3D microwave field optimization to achieve magnetization switching with reduced static fields and energy.

Findings

Optimal microwave field modulated in frequency and magnitude drives switching.

Switching curves depend strongly on damping and static field parameters.

Results align qualitatively with micro-SQUID experiments.

Abstract

We develop an efficient and general method for optimizing the microwave field that achieves magnetization switching with a smaller static field. This method is based on optimal control and renders an exact solution for the 3D microwave field that triggers the switching of a nanomagnet with a given anisotropy and in an oblique static field. Applying this technique to the particular case of uniaxial anisotropy, we show that the optimal microwave field, that achieves switching with minimal absorbed energy, is modulated both in frequency and in magnitude. Its role is to drive the magnetization from the metastable equilibrium position towards the saddle point and then damping induces the relaxation to the stable equilibrium position. For the pumping to be efficient, the microwave field frequency must match at the early stage of the switching process the proper precession frequency of the magnetization, which depends on the magnitude and direction of the static field. We investigate the effect of the static field (in amplitude and direction) and of damping on the characteristics of the microwave field. We have computed the switching curves in the presence of the optimal microwave field. The results are in qualitative agreement with micro-SQUID experiments on isolated nanoclusters. The strong dependence of the microwave field and that of the switching curve on the damping parameter may be useful in probing damping in various nanoclusters.