Experimental demonstration of a spintronic quaternary true random number generator, highlighting its randomness and potential applications in information security.
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.
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Tao et al. (2025) studied this question.
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