CMOS兼容的LiNbO3域壁引擎用于超快的真随机数生成
Haiyue Tang1, Zilong Wang1, Xinglong Wang1
1College of Integrated Circuits and Micro-Nano Electronics Innovation, Fudan University, Shanghai, 200433, China.
Advanced materials (Deerfield Beach, Fla.)
|October 11, 2025
概括
这项研究引入了一种使用酸薄膜中的铁电导电域壁进行真随机数生成 (TRNG) 的新方法. 这种方法克服了传统方法的局限性,提供更快,更强大的随机位生成.
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
- 半导体设备 半导体设备
背景情况:
- 铁电材料表现出随机域核和生长,形成高系统.
- 传统的使用电气方法的真随机数生成 (TRNG) 由于低噪声幅度而面临限制.
- 现有的TRNG方法在信号放大和运行稳定性方面扎.
研究的目的:
- 开发一种新的TRNG平台,利用铁电薄膜中的随机导电域壁.
- 为了克服传统电气TRNG方法的噪声振幅限制.
- 建立一个强大的和可扩展的源,用于安全的随机数生成.
主要方法:
- 制造与SiO2/Si晶片结合的单晶LiNbO3薄膜.
- 利用随机形成和传导域壁的切换作为源.
- 域壁设备的噪声振幅,循环耐久性和切换速度的表征.
主要成果:
- 实现了高噪声幅度 (>500 nA) 和卓越的循环耐力 (>10^10).
- 证明了超快的,自我重新启动的随机域切换操作 (<10 ns).
- 由NIST测试验证的生成随机位流,显示对机器学习攻击的抵抗力.
结论:
- 铁电导电域壁为CMOS兼容的源提取提供了一个开创性的平台.
- 这种方法有效地解决了放大信号的挑战,并具有运行稳定性.
- 开发的TRNG方法为超快速和安全的随机数生成提供了一个有前途的解决方案.
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