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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

Publications: Working paperPreprint

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.
Original languageEnglish
PublisherarXiv
Publication statusPublished - 21 Apr 2026

Austrian Fields of Science 2012

  • 103017 Magnetism

Keywords

  • cond-mat.mtrl-sci
  • cond-mat.mes-hall

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