封闭环超偏磁道交叉点可靠的真随机性和生成人工智能
Dooyong Koh1, Qiuyuan Wang1, Brooke C McGoldrick1
1Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.
Nano letters
|February 26, 2025
概括
研究人员开发了可靠的,可扩展的超偏磁道连接 (sMTJs) 以实现真正的随机生成,无需外部磁铁. 这一突破通过利用物理随机性来实现安全的计算和人工智能.
科学领域:
- 这就是Spintronics.
- 量子计算是一种量子计算.
- 硬件安全 硬件安全
背景情况:
- 超偏磁道结 (sMTJs) 为基于概率的计算,机器学习和硬件安全提供低能耗和高密度.
- 目前的sMTJ设计面临由于纳米级铁磁铁的可扩展性和可靠性的局限性,导致灵敏度和设备变化.
研究的目的:
- 实验证明闭环,三终端sMTJs作为真正随机性的可靠和可扩展的来源.
- 通过消除对外部磁铁的需求,克服现有的sMTJ技术的局限性.
主要方法:
- 利用双电流可控性来精确管理超对磁性开关.
- 包含一个反机制来稳定sMTJ运行.
- 对该设备生成随机比特流的能力的实验验证.
主要成果:
- 在没有外部磁场的情况下实现了超级偏磁体的稳定切换操作.
- 生成具有加密质量的随机位流.
- 展示了一个用于随机计算的一般硬件平台,包括一个生成的人工智能应用程序.
结论:
- 闭环三终端sMTJs为真正的随机数生成提供了强大的和可扩展的解决方案.
- 这项技术使得新的计算硬件平台能够利用物理随机性.
- 这些发现为安全计算和人工智能加速领域的进步铺平了道路.
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