Reconfigurable reservoir computing in a magnetic metamaterial
Reconfigurable reservoir computing in a magnetic metamaterial
复制标题
DOI：
10.1038/s42005-023-01352-4
复制
发表时间：
2022-06
影响因子：
5.5
通讯作者：
Ian T. Vidamour;C. Swindells;G. Venkat;Luca Manneschi;P. Fry;A. Welbourne;R. Rowan-Robinson;D. Backes;Francisco Maccherozzi;S. Dhesi;E. Vasilaki;D. Allwood;T. Hayward
中科院分区：
文献类型：
--
作者：
Ian T. Vidamour;C. Swindells;G. Venkat;Luca Manneschi;P. Fry;A. Welbourne;R. Rowan-Robinson;D. Backes;Francisco Maccherozzi;S. Dhesi;E. Vasilaki;D. Allwood;T. Hayward
材料内储层计算 (RC) 利用功能材料的固有物理响应来执行复杂的计算任务。磁性超材料因其巨大的状态空间、非线性涌现动力学和非易失性存储器而成为令人兴奋的 RC 候选者。然而，为了适合广泛的任务，材料系统需要表现出广泛的特性，而通过实验分离这些行为通常很困难。通过使用由一系列互连的磁性纳米环组成的电可访问设备（该系统显示出复杂的涌现动力学），我们在此展示了如何重新配置储层结构，从而能够利用系统动力学行为的不同方面。这通过具有截然不同的计算要求的各种基准任务中最先进的性能得到了证明，突出了通过改变材料系统周围的输入/输出架构可以获得的额外计算可配置性。
In-materia reservoir computing (RC) leverages the intrinsic physical responses of functional materials to perform complex computational tasks. Magnetic metamaterials are exciting candidates for RC due to their huge state space, nonlinear emergent dynamics, and non-volatile memory. However, to be suitable for a broad range of tasks, the material system is required to exhibit a broad range of properties, and isolating these behaviours experimentally can often prove difficult. By using an electrically accessible device consisting of an array of interconnected magnetic nanorings- a system shown to exhibit complex emergent dynamics- here we show how reconfiguring the reservoir architecture allows exploitation of different aspects the system’s dynamical behaviours. This is evidenced through state-of-the-art performance in diverse benchmark tasks with very different computational requirements, highlighting the additional computational configurability that can be obtained by altering the input/output architecture around the material system.