The feasibility of reservoir computing based on dipole-coupled nanomagnets is demonstrated using micro-magnetic simulations. The reservoir consists of an 2x10 array of nanomagnets. The static-magnetization directions of the nanomagnets are used as reservoir states. To update these states, we change the magnetization of one nanomagnet according to a single-bit-sequential signal. We also change the uniaxial anisotropy of the other nanomagnets using a voltage-induced magnetic-anisotropy change to enhance information flow, storage, and linear/nonlinear calculations. Binary tasks with AND, OR, and XOR operations were performed to evaluate the performance of the magnetic-array reservoir. The reservoir-computing output matrix was found to be trainable to perform AND, OR, and XOR operations with an input delay of up to three bits.
@article{arxiv.1810.13140,
title = {Reservoir computing with dipole-coupled nanomagnets},
author = {Hikaru Nomura and Taishi Furuta and Kazuki Tsujimoto and Yuki Kuwabiraki and Ferdinand Peper and Eiiti Tamura and Shinji Miwa and Minori Goto and Ryoichi Nakatani and Yoshishige Suzuki},
journal= {arXiv preprint arXiv:1810.13140},
year = {2019}
}