True random number generation through stochastic magnonic bistability
Mengying Guo, Zhenyu Zhou, Denys Slobodianiuk, Roman Verba, Kristýna Davídková + 11 more
TLDR
A new magnonic true random number generator (mRNG) uses stochastic spin-wave bistability to achieve high-quality, scalable random bitstreams.
Key contributions
- Magnonic RNG (mRNG) leverages stochastic spin-wave bistability for high-quality entropy.
- Generates 20 Mb/s random bitstreams that pass all 15 NIST SP 800-22 statistical tests.
- Demonstrates scalability down to 200-nm nanoscale waveguides for integration.
- Implements a random-bit multiplier using synchronized mRNG units.
Why it matters
Existing TRNGs face trade-offs in speed, scalability, and entropy. This paper introduces a novel magnonic approach that provides a high-quality, scalable, and fast physical entropy source. This is critical for advancing secure cryptography and integrated random number generation.
Original 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.
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