True random number generation through stochastic magnonic bistability

TL;DR

This paper introduces a magnonic random number generator leveraging stochastic spin-wave bistability in YIG, achieving high-quality random bits at 20 Mb/s and demonstrating scalability to nanoscale devices.

Contribution

It presents a novel physical entropy source based on spin-wave bistability for high-speed, scalable true random number generation in integrated devices.

Findings

Generates random bits passing all 15 NIST tests at 20 Mb/s.

Uses thermal fluctuations near nonlinear bistable regime.

Scalable to 200-nm-wide nanoscale waveguides.

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.