多铁氧体异质结构中时空共复用的应变介导储层计算

IF 3.5 2区 物理与天体物理 Q2 PHYSICS, APPLIED Applied Physics Letters Pub Date : 2024-09-03 DOI:10.1063/5.0221747
Yiming Sun, Xing Chen, Chao Chen, Baojia Liu, Bingyu Chen, Zhiyuan Zhao, Dahai Wei, Christian H. Back, Wang Kang, Weisheng Zhao, Na Lei
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引用次数: 0

摘要

物理水库计算(PRC)是一种受大脑启发的计算方法,以其高效的信息处理和较低的训练要求而闻名,已引起了广泛关注。其计算能力的关键因素在于水库内计算节点的数量。在此,我们探讨了同时利用时间和空间策略的共复用水库。时间多路复用通过使用掩码技术无形中扩大了节点数量,而空间多路复用则利用多个物理位置(如霍尔条)来实现真实节点数量的增加。我们的实验采用了基于多铁氧体异质结构的应变介导储能器。通过在 PMN-PT 衬底上施加单一电压(作为全局输入)并测量四个霍尔条(真实节点)的输出霍尔电压,我们实现了显著的效率提升。在对麦基-格拉斯混沌时间序列进行 20 步预测时,这种共复用方法可将归一化均方根误差从 0.5 降至 0.23。此外,与仅采用时间多路复用的应变介导 PRC 相比,单输入和四个独立输出可将能耗降低四倍。这项研究为未来利用共多路复用技术实现节能型 PRC 铺平了道路,促进了资源节约型水库计算的发展。
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Strain-mediated reservoir computing with temporal and spatial co-multiplexing in multiferroic heterostructures
Physical reservoir computing (PRC), a brain-inspired computing method known for its efficient information processing and low training requirements, has attracted significant attention. The key factor lies in the number of computational nodes within the reservoir for its computational capability. Here, we explore co-multiplexing reservoirs that leverage both temporal and spatial strategies. Temporal multiplexing virtually expands the node count through the use of masking techniques, while spatial multiplexing utilizes multiple physical locations (e.g., Hall bars) to achieve an increase in the number of real nodes. Our experiment employs a strain-mediated reservoir based on multiferroic heterostructures. By applying a single voltage across the PMN-PT substrate (acting as global input) and measuring the output Hall voltages from four Hall bars (real nodes), we achieve significant efficiency gains. This co-multiplexing approach results in a reduction in the normalized root mean square error from 0.5 to 0.23 for a 20-step prediction task of a Mackey–Glass chaotic time series. Furthermore, the single input and four independent outputs lead to a fourfold reduction in energy consumption compared to the strain-mediated PRC with temporal multiplexing solely. This research paves the way for future energy saving PRC implementations utilizing co-multiplexing, promoting a resource-efficient paradigm in reservoir computing.
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来源期刊
Applied Physics Letters
Applied Physics Letters 物理-物理:应用
CiteScore
6.40
自引率
10.00%
发文量
1821
审稿时长
1.6 months
期刊介绍: Applied Physics Letters (APL) features concise, up-to-date reports on significant new findings in applied physics. Emphasizing rapid dissemination of key data and new physical insights, APL offers prompt publication of new experimental and theoretical papers reporting applications of physics phenomena to all branches of science, engineering, and modern technology. In addition to regular articles, the journal also publishes invited Fast Track, Perspectives, and in-depth Editorials which report on cutting-edge areas in applied physics. APL Perspectives are forward-looking invited letters which highlight recent developments or discoveries. Emphasis is placed on very recent developments, potentially disruptive technologies, open questions and possible solutions. They also include a mini-roadmap detailing where the community should direct efforts in order for the phenomena to be viable for application and the challenges associated with meeting that performance threshold. Perspectives are characterized by personal viewpoints and opinions of recognized experts in the field. Fast Track articles are invited original research articles that report results that are particularly novel and important or provide a significant advancement in an emerging field. Because of the urgency and scientific importance of the work, the peer review process is accelerated. If, during the review process, it becomes apparent that the paper does not meet the Fast Track criterion, it is returned to a normal track.
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