arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2209.09443cond-mat.mes-hallcs.ETphysics.app-ph
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利用磁拓扑绝缘体的低温存内计算

Cryogenic in-memory computing using magnetic topological insulators

Yuting Liu, Albert Lee, Kun Qian, Peng Zhang, Zhihua Xiao, Haoran He, Zheyu Ren, Shun Kong Cheung, Ruizi Liu, Yaoyin Li, Xu Zhang, Zichao Ma, Jianyuan Zhao, Wei… 展开作者

Yuting Liu, Albert Lee, Kun Qian, Peng Zhang, Zhihua Xiao, Haoran He, Zheyu Ren, Shun Kong Cheung, Ruizi Liu, Yaoyin Li, Xu Zhang, Zichao Ma, Jianyuan Zhao, Weiwei Zhao, Guoqiang Yu, Xin Wang, Junwei Liu, Zhongrui Wang, Kang L. Wang, Qiming Shao

AI总结:

本文提出利用磁拓扑绝缘体作为忆阻器,结合手性边缘态与拓扑表面态实现低温存内计算,在分类任务中取得高准确率,并在图像识别和量子态制备仿真中展现出优于现有磁忆阻器和CMOS技术的能效。

摘要:

机器学习算法已被证明对量子纠错和量子控制等关键量子计算任务有效。在低温下高效实现这些算法的硬件至关重要。在此,我们利用磁拓扑绝缘体作为忆阻器(称为磁拓扑忆阻器),并基于手性边缘态与拓扑表面态的共存提出了一种低温存内计算方案。巨反常霍尔效应的忆阻切换与读取展现出高能效、高稳定性和低随机性。我们使用四个磁拓扑忆阻器在概念验证分类任务中实现了高准确率。此外,我们对大规模神经网络的算法级和电路级仿真表明,与现有磁忆阻器和CMOS技术相比,在图像识别和量子态制备方面可实现软件级准确率和更低能耗。我们的结果不仅展示了手性边缘态的新应用,还可能启发基于拓扑量子物理的进一步新型计算方案。

英文摘要:

Machine learning algorithms have been proven effective for essential quantum computation tasks such as quantum error correction and quantum control. Efficient hardware implementation of these algorithms at cryogenic temperatures is essential. Here, we utilize magnetic topological insulators as memristors (termed magnetic topological memristors) and introduce a cryogenic in-memory computing scheme based on the coexistence of the chiral edge state and the topological surface state. The memristive switching and reading of the giant anomalous Hall effect exhibit high energy efficiency, high stability, and low stochasticity. We achieve high accuracy in a proof-of-concept classification task using four magnetic topological memristors. Furthermore, our algorithm-level and circuit-level simulations of large-scale neural networks demonstrate software-level accuracy and lower energy consumption for image recognition and quantum state preparation compared with existing magnetic memristor and CMOS technologies. Our results not only showcase a new application of chiral edge states but also may inspire further topological quantum physics-based novel computing schemes.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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