Lee Albert, Dai Bingqian, Wu Di, Wu Hao, Schwartz Robert N, Wang Kang L
Department of Electrical and Computer Engineering, UCLA, Los Angeles, CA, 90095, United States of America.
Department of Physics and Astronomy, UCLA, Los Angeles, CA, 90095, United States of America.
Nanotechnology. 2021 Oct 11;32(50). doi: 10.1088/1361-6528/abeb9b.
We present a magnetic implementation of a thermodynamic computing fabric. Magnetic devices within computing cores harness thermodynamics through its voltage-controlled thermal stability; while the evolution of network states is guided by the spin-orbit-torque effect. We theoretically derive the dynamics of the cores and show that the computing fabric can successfully compute ground states of a Boltzmann Machine. Subsequently, we demonstrate the physical realization of these devices based on a CoFeB-MgO magnetic tunnel junction structure. The results of this work pave the path towards the realization of highly efficient, high-performance thermodynamic computing hardware. Finally, this paper will also give a perspective of computing beyond thermodynamic computing.
我们展示了一种热力学计算架构的磁性实现方式。计算核心内的磁性器件通过其电压控制的热稳定性来利用热力学；而网络状态的演化则由自旋轨道扭矩效应引导。我们从理论上推导了核心的动力学，并表明该计算架构能够成功计算玻尔兹曼机的基态。随后，我们展示了基于CoFeB-MgO磁性隧道结结构的这些器件的物理实现。这项工作的结果为实现高效、高性能的热力学计算硬件铺平了道路。最后，本文还将给出超越热力学计算的计算展望。
