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使用LaCoO3中旋转交叉的真随机数生成
Kyung Seok Woo1,2,3, Alan Zhang1, Allison Arabelo4
1Sandia National Laboratories, Livermore, CA, USA.
Nature communications
|May 31, 2024
概括
本研究介绍了一种使用LaCoO3的新型硬件真随机数生成器 (TRNG).
科学领域:
- 材料科学 材料科学 材料科学
- 凝聚物质物理学 凝聚物质物理学
- 计算机工程 计算机工程
背景情况:
- 数字计算机使用伪随机数生成器,它们缺乏真正的随机性.
- 现有的真正随机数生成器 (TRNG) 通常依赖于难以控制的相位过渡.
- 需要高效,可靠的基于硬件的TRNG.
研究的目的:
- 开发一种新的,高效的,可控制的硬件真实随机数生成器 (TRNG).
- 为了利用LaCoO3中的旋转交叉机制来实现随机性.
- 为了证明基于旋转交叉的TRNG在传统相位过渡方法上的优越性.
主要方法:
- 在其旋转交叉模式内开发了一种利用LaCoO3中的自振荡的TRNG.
- 通过电气偏向LaCoO3材料来控制旋转交叉.
- 采用相场建模来理解随机性产生机制.
- 通过在memristor横条数组上概率地解决NP-hard最大切割问题来验证TRNG.
主要成果:
- 基于LaCoO3的TRNG通过了所有标准测试的真实随机性.
- 与以前的硬件TRNG相比,新的TRNG需要更少的组件.
- 旋转交叉被证明比传统的相位过渡更有效地产生真正的随机性.
- 与基于软件的随机性相比,TRNG在最大切割问题上取得了更高的解决质量.
结论:
- LaCoO3的旋转交叉模式为硬件真正的随机数生成提供了一个强大的和高效的机制.
- 这种新的TRNG在组件数量,效率和可控性方面具有优势.
- 在解决复杂的计算问题中展示的应用突显了这种TRNG技术的实际潜力.
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