Nonlinear Stabilization of Non-Adiabatic Magnonic Dynamics

TL;DR

This paper introduces a nonlinear magnonic platform that stabilizes non-adiabatic dynamics in nanoscale ferrite structures, enabling low-energy, wave-based information processing.

Contribution

It presents a novel nonlinear frequency regulation approach that suppresses uncontrolled parametric growth and maintains bounded magnonic states in non-adiabatic excitation.

Findings

Nonlinear detuning suppresses higher-order mode leakage.

Estimated switching energy is approximately 22 aJ per cell.

Numerical verification confirms stable dynamics with finite regulator U.

Abstract

We propose a nonlinear magnonic platform for bounded nonadiabatic parametric excitation in nanoscale ferrite structures. The approach is based on the algorithm, where the non-adiabaticity parameter is interpreted as a local measure of the spectral-flow rate associated with, while the nonlinear frequency regulator U represents the anharmonic spectral detuning of the medium. Using Co doped yttrium iron garnet YIG Co as a representative material system, we analyze how nonlinear detuning suppresses uncontrolled parametric growth and drives the system toward a dynamically localized low-occupancy magnonic state. Numerical verification in truncated Fock bases shows that a finite regulator U can suppress leakage into higher-order modes and preserve bounded dynamics under non-adiabatic excitation. The experimentally reported absorbed energy density for ultrafast switching in YIG Co corresponds to an estimated switching energy of approximately 22 aJ for a cell, providing a physically relevant scale for low-energy resonant state formation. We further discuss the role of magnetic damping, exchange-gap confinement, and phonon transparency in maintaining coherent magnonic dynamics over multiple operation cycles. These results suggest that nonlinear self-limited non-adiabatic dynamics in ferrite nanostructures may provide a physical basis for low-energy wave-based information processing.