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True random number generation through stochastic magnonic bistability

  • Mengying Guo
  • , Zhenyu Zhou
  • , Denys Slobodianiuk
  • , Roman Verba
  • , Kristýna Davídková
  • , Xueyu Guo
  • , Xudong Jing
  • , Yueqi Wang
  • , Björn Heinz
  • , Yiheng Rao
  • , Carsten Dubs
  • , Caihua Wan
  • , Xiufeng Han
  • , Andrii V. Chumak
  • , Philipp Pirro
  • , Qi Wang

Veröffentlichungen: Working Paper › Preprint

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.
OriginalspracheEnglisch
Herausgeber*inarXiv
PublikationsstatusVeröffentlicht - 21 Apr. 2026

ÖFOS 2012

  • 103017 Magnetismus

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