Detection of Topological Spin Textures via Non-Linear Magnetic Responses

TL;DR

This paper introduces a high-resolution detection method for topological spin textures like skyrmions using non-linear magnetic responses, combining experimental microscopy and simulations, with a proposed superconducting micro-coil read-out scheme.

Contribution

It presents a novel detection scheme for topological spin textures based on non-linear magnetic responses and superconducting micro-coils, advancing nanoscale magnetic structure analysis.

Findings

Distinct magnetic responses identify different spin textures.

Non-linear susceptibility correlates with local magnetic properties.

Proposed superconducting micro-coil read-out enables device integration.

Abstract

Topologically non-trivial spin textures, such as skyrmions and dislocations, display emergent electrodynamics and can be moved by spin currents over macroscopic distances. These unique properties and their nanoscale size make them excellent candidates for the development of next-generation logic gates, race-track memory, and artificial synapses for neuromorphic computing. A major challenge for these applications - and the investigation of nanoscale magnetic structures in general - is the realization of detection schemes that provide high resolution and sensitivity. We study the local magnetic properties of disclinations, dislocations, and domain walls in FeGe, and reveal a pronounced response that distinguishes the individual spin textures from the helimagnetic background. Combination of magnetic force microscopy and micromagnetic simulations links the non-linear response to the local magnetic susceptibility. Based on the findings, we propose a read-out scheme using superconducting micro-coils, representing an innovative approach for detecting topologically non-trivial spin textures and domain walls in device-relevant geometries.