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<p>Chaotic frequency comb, characterized by intrinsic random amplitude, phase, and frequency modulation of comb lines, emerges as chaotic sources in information processing for coherence tomography, parallel ranging, and secure communications. Here, we propose a magnonic scenario of generating chaotic frequency combs via magnon-magnon coupling mechanism. Especially, we theoretically demonstrate magnonic frequency combs through three-wave mixing between ultra-strongly coupled magnons in synthetic antiferromagnet. Our frequency combs can transition to chaos via various routes, <i>i</i>.<i>e</i>., subcritical Hopf bifurcation, torus-doubling bifurcation, and torus breakdown. The robustness of magnonic chaotic frequency combs is verified by characterizing Poincaré maps, bifurcation diagrams, and largest Lyapunov exponents. Furthermore, the unique characters of chaotic frequency combs, perturbation hypersensitivity and noise immunity, are conceptually validated by identifying latent magnetic signal contaminated by inherent noise. Our findings provide a magnonic paradigm of chaotic dynamics in complex systems for potential applications in CMOS-integrated metrology, sensing, and communication.</p>

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Magnonic chaotic frequency comb

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年4月28日

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  • Ruitong Sun,
  • Guanqi Ye,
  • Fusheng Ma

摘要

Chaotic frequency comb, characterized by intrinsic random amplitude, phase, and frequency modulation of comb lines, emerges as chaotic sources in information processing for coherence tomography, parallel ranging, and secure communications. Here, we propose a magnonic scenario of generating chaotic frequency combs via magnon-magnon coupling mechanism. Especially, we theoretically demonstrate magnonic frequency combs through three-wave mixing between ultra-strongly coupled magnons in synthetic antiferromagnet. Our frequency combs can transition to chaos via various routes, i.e., subcritical Hopf bifurcation, torus-doubling bifurcation, and torus breakdown. The robustness of magnonic chaotic frequency combs is verified by characterizing Poincaré maps, bifurcation diagrams, and largest Lyapunov exponents. Furthermore, the unique characters of chaotic frequency combs, perturbation hypersensitivity and noise immunity, are conceptually validated by identifying latent magnetic signal contaminated by inherent noise. Our findings provide a magnonic paradigm of chaotic dynamics in complex systems for potential applications in CMOS-integrated metrology, sensing, and communication.