Nonlinear cross-shift terms from counterpropagating spin waves in a standing SAW cavity produce field-dependent frequency shifts that drive resonance enhancement, broadband scattering, and bistability in magnon-phonon hybrids.
True random number generation through stochastic magnonic bistability
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
abstract
True random number generators (TRNGs) underpin modern cryptography, yet existing implementations face fundamental trade-offs between speed, scalability, and entropy quality. Here, we demonstrate that stochastic switching in the bistable regime of spin-wave dynamics provides a physical entropy source for high-quality random number generation. Our magnonic random number generator (mRNG), based on a lithography-patterned microstrip on yttrium iron garnet (YIG), exploits thermal fluctuations near the nonlinear bistable regime to generate random bitstreams that pass all 15 NIST SP 800-22 statistical tests at rates with 20 Mb/s. We implement a random-bit multiplier using synchronized mRNG units and demonstrate scalability to 200-nm-wide nanoscale waveguides, establishing spin-wave bistability as a viable physical entropy source for integrated random number generation.
fields
cond-mat.mes-hall 2years
2026 2representative citing papers
A perspective article surveys inverse-design magnonics and proposes the term 'AI magnonics' for the convergence of machine-learning-based design tools and magnonic neuromorphic hardware.
citing papers explorer
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Nonlinear frequency shift and bistability of magnon-polarons
Nonlinear cross-shift terms from counterpropagating spin waves in a standing SAW cavity produce field-dependent frequency shifts that drive resonance enhancement, broadband scattering, and bistability in magnon-phonon hybrids.
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Perspectives on inverse design for AI magnonics
A perspective article surveys inverse-design magnonics and proposes the term 'AI magnonics' for the convergence of machine-learning-based design tools and magnonic neuromorphic hardware.