Quaternary true random number generator based on single <i>L</i>10-FePt spin–orbit torque device
In this work, we experimentally demonstrated the spintronic quaternary true random number generator (QTRNG) utilizing the stochastic switching characteristics of the sub-micrometer-scale L10-FePt spin–orbit torque device. The device exhibits good perpendicular magnetic anisotropy and inherent thermal-fluctuation-induced randomness during magnetization switching. A comparator-based quantization architecture is employed to convert the stochastic analog Hall resistance signals into uniformly distributed quaternary digital outputs, achieving near-ideal randomness with deviations below 2%. Practical implementations explored include a QTRNG-based mosaic masking technique, demonstrating superior visual obfuscation with high Shannon entropy (∼6.88 bits) and convolutional neural networks initialized with QTRNG-derived kernels. This work demonstrates the potential of FePt-based QTRNG systems for reliable multilevel random number generation, establishing a foundation for their integration into advanced spintronic solutions for information security and future deployment in fully spintronic neuromorphic hardware systems.
Authors
- Kaifeng Dong (ORCID: https://orcid.org/0000-0001-8999-562X)
- Ying Tao (ORCID: https://orcid.org/0000-0001-9017-4896)
- Chao Zuo (ORCID: https://orcid.org/0000-0002-1461-0032)
- Fang Jin (ORCID: https://orcid.org/0000-0003-0774-788X)
Institutions
- Ministry of Education of the People's Republic of China (CN)
- China University of Geosciences (CN)
- Shandong Institute of Automation (CN)
- Wuhan Ship Development & Design Institute (CN)
- Intelligent Automation (United States) (US)
Publication Details
- Journal
- Applied Physics Letters
- Published
- 2025-08-11
- DOI
- https://doi.org/10.1063/5.0282226
- Citations
- 1
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.73
Funders
- National Natural Science Foundation of China