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Magnons are quanta of spin waves that propagate as coherent excitations of magnetic order. Their low dissipation and intrinsic phase coherence make them promising carriers of information beyond conventional electronics. Realizing this potential requires precise control over spin-wave frequency, amplitude, phase, and propagation. In this talk, I present complementary strategies to tame magnons through electric, thermal, and nonlinear mechanisms in low-loss magnetic materials. Voltage-driven magneto-ionic effects enable reversible, non-volatile tuning of magnetic properties and spin-wave dispersion, yielding phase shifts exceeding π on micrometer scales.
Thermoplasmonic control provides fast, contactless, and spatially localized modulation of spin-wave transmission. I then introduce magnonic convolution networks, where spin-wave interference directly performs parallel matrix–vector multiplication, addressing data-movement limitations of conventional processors. Finally, I explore nonlinear magnon dynamics, where multi-tone excitation generates ultra-dense frequency combs with Hz-level spacing and octave-spanning bandwidth, exceeding the spectral density of conventional electronic microwave frequency combs. Together, these approaches define a scalable toolbox for programmable magnonic systems, with applications in signal processing and neuromorphic computing. I conclude with an outlook on hybrid magnon–quantum systems, including initial efforts toward integrating magnons with photoluminescent spin ions for quantum networks.
