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| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.19356 |
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| _version_ | 1866914494788141056 |
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| author | Guo, Mengying Zhou, Zhenyu Slobodianiuk, Denys Verba, Roman Davídková, Kristýna Guo, Xueyu Jing, Xudong Wang, Yueqi Heinz, Björn Rao, Yiheng Dubs, Carsten Wan, Caihua Han, Xiufeng Chumak, Andrii V. Pirro, Philipp Wang, Qi |
| author_facet | Guo, Mengying Zhou, Zhenyu Slobodianiuk, Denys Verba, Roman Davídková, Kristýna Guo, Xueyu Jing, Xudong Wang, Yueqi Heinz, Björn Rao, Yiheng Dubs, Carsten Wan, Caihua Han, Xiufeng Chumak, Andrii V. Pirro, Philipp Wang, Qi |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_19356 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | True random number generation through stochastic magnonic bistability Guo, Mengying Zhou, Zhenyu Slobodianiuk, Denys Verba, Roman Davídková, Kristýna Guo, Xueyu Jing, Xudong Wang, Yueqi Heinz, Björn Rao, Yiheng Dubs, Carsten Wan, Caihua Han, Xiufeng Chumak, Andrii V. Pirro, Philipp Wang, Qi Materials Science Mesoscale and Nanoscale Physics 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. |
| title | True random number generation through stochastic magnonic bistability |
| topic | Materials Science Mesoscale and Nanoscale Physics |
| url | https://arxiv.org/abs/2604.19356 |