Nonlinear erasing of propagating spin-wave pulses in thin-film Ga:YIG
David Breitbach, Moritz Bechberger, Bj\"orn Heinz, Abbass Hamadeh, Jan, Maskill, Khrystyna Levchenko, Bert L\"agel, Carsten Dubs, Qi Wang, Roman, Verba, Philipp Pirro

TL;DR
This study demonstrates nonlinear erasing of propagating spin-wave pulses in a gallium-substituted yttrium iron garnet film, enabling complex temporal logic operations for magnonic information processing.
Contribution
It introduces a method to control spin-wave interactions via nonlinear effects in Ga:YIG, facilitating all-magnonic erasing of signals for advanced magnonic devices.
Findings
Time-separated spin-wave pulses can be excited and manipulated.
Higher group velocity pulses can erase slower pulses through nonlinear interaction.
The process enables potential applications in neuromorphic computing.
Abstract
Nonlinear phenomena are key for magnon-based information processing, but the nonlinear interaction between two spin-wave signals requires their spatio-temporal overlap which can be challenging for directional processing devices. Our study focuses on a gallium-substituted yttrium iron garnet film, which exhibits an exchange-dominated dispersion relation and thus provides a particularly broad range of group velocities compared to pure YIG. Using time- and space-resolved Brillouin light scattering spectroscopy, we demonstrate the excitation of time-separated spin-wave pulses at different frequencies from the same source, where the delayed pulse catches up with the previously excited pulse and outruns it due to its higher group velocity. By varying the excitation power of the faster pulse, the outcome can be finely tuned from a linear superposition to a nonlinear interaction of both pulses,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNeural Networks and Reservoir Computing · Advanced Memory and Neural Computing · Magneto-Optical Properties and Applications
