小型化
功率消耗
可扩展性
旋转
计算机科学
钇铁石榴石
功率(物理)
自旋(空气动力学)
能源消耗
伊辛模型
实现(概率)
伊辛自旋
物理
凝聚态物理
材料科学
电气工程
数学
纳米技术
工程类
量子力学
统计
热力学
数据库
作者
Artem Litvinenko,Roman Khymyn,Victor H. González,Roman V. Ovcharov,Ahmad A. Awad,Vasyl Tyberkevych,A. N. Slavin,Johan Åkerman
标识
DOI:10.1038/s42005-023-01348-0
摘要
Abstract Time-multiplexed Coherent Ising Machines (CIMs) have demonstrated promising results in rapidly solving large-scale combinatorial problems. However, CIMs remain relatively large and power-demanding. Here, we demonstrate a spinwave-based Ising machine (SWIM) that due to the low spinwave group velocity allows for sufficient miniaturization and reduced power consumption. The SWIM is implemented using a 10-mm-long 5- μ m-thick Yttrium Iron Garnet film with off-the-shelf microwave components and can support an 8-spin MAX-CUT problem and solve it in less than 4 μ s consuming only 7 μ J. As the SWIM minimizes its energy, we observe that the spin states can demonstrate both uniform and domain-propagation-like switching. The developed SWIM has the potential for substantial further miniaturization with reduction of power consumption, scalability in the number of supported spins, increase of operational speed, and may become a versatile platform for commercially feasible high-performance solvers of combinatorial optimization problems.
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