Design of an integrated hybrid plasmonic-photonic device for all-optical switching and reading of spintronic memory

TL;DR

This paper presents a novel hybrid plasmonic-photonic device that enables all-optical switching and reading of nanoscale magnetic bits, advancing integrated photonics and spintronics with high spatial resolution.

Contribution

The paper introduces a new integrated hybrid plasmonic-photonic device that enhances magnetization control and detection at the nanoscale, surpassing previous limitations in size and efficiency.

Findings

Device can switch and read magnetization in ~100 nm bits

Outperforms bare photonic waveguides in efficiency

Addresses nonlinear absorption and size mismatch challenges

Abstract

We introduce a novel integrated hybrid plasmonic-photonic device for all-optical switching and reading of nanoscale ferrimagnet bits. The racetrack memory made of synthetic ferrimagnetic material with a perpendicular magnetic anisotropy is coupled on to a photonic waveguide onto the indium phosphide membrane on silicon platform. The device which is composed of a double V-shaped gold plasmonic nanoantenna coupled with a photonic crystal cavity can enable switching and reading of the magnetization state in nanoscale magnetic bits by enhancing the absorbed energy density and polar magneto-optical Kerr effect (PMOKE) locally beyond the diffraction limit. Using a three-dimensional finite-difference time-domain method, we numerically show that our device can switch and read the magnetization state in targeted bits down to ~100 nm in the presence of oppositely magnetized background regions in the racetrack with widths of 30 to 120 nm, clearly outperforming a bare photonic waveguide. Our hybrid device tackles the challenges of nonlinear absorption in the waveguide, weak PMOKE, and size mismatch between spintronics and integrated photonics. Thus, it provides missing link between the integrated photonics and nanoscale spintronics, expediting the development of ultrafast and energy efficient advanced on-chip applications.