Shangui Lan, Baoyu Wang, Jingfeng Xu, Haoran Xu, Zhongyi Wang, Peiran Tong, Xin He, Pu Feng, Chenhui Zhang, Xixiang Zhang, He Tian, Kai Chang, Fei Xue
Polar skyrmions, as noncollinear polarization textures, have attracted a considerable amount of attention so far because of their novel physical properties. Multistate switching of polar skyrmions is paramount for brain-inspired computing applications, but experimental realization remains challenging because of the inaccessibility of feasible boundary conditions. Here, we explore in situ electrical switching of CuInP2S6-based polar skyrmion bubbles with respect to resistance states on silicon substrates. Because of Cu+ mediation and the large size of CuInP2S6 skyrmions, we can electrically manipulate the boundary conditions and create a series of intermediate skyrmion states. Consequently, we acquire eight nonvolatile resistance states from a single skyrmion bubble, in which information storage density far exceeds that of the current hard drives. On the basis of these devices, we build skyrmion-based solid neurons and simulate spiking neural networks with a recognition accuracy of 98%. Our study shows the uncharted application prospects of polar skyrmions in silicon-based, high-density memory hardware and neuromorphic computing.