67 citations · 155 across the 8 of their papers we have counts for
7 papers · 1 filter
Quantum Transport Reservoir Computing
Yecheng Jing, Pengfei Wang, Shuai Zhang +3
Reservoir computing (RC), a neural network designed for temporal data, enables efficient computation with low-cost training and direct physical implementation. Recently, quantum RC…
Skin-inspired in-sensor encoding of strain vector using tunable quantum geometry
Zenglin Liu, Jingwen Shi, Jin Cao +15
Human skin provides crucial tactile feedback, allowing us to skillfully perceive various objects by sensing and encoding complex deformations through multiple parameters in each ta…
Interfacial magnetic spin Hall effect in van der Waals Fe3GeTe2/MoTe2 heterostructure
Yudi Dai, Junlin Xiong, Yanfeng Ge +13
The spin Hall effect (SHE) allows efficient generation of spin polarization or spin current through charge current and plays a crucial role in the development of spintronics. While…
Moire synaptic transistor for homogeneous-architecture reservoir computing
Pengfei Wang, Moyu Chen, Yongqin Xie +6
Reservoir computing has been considered as a promising intelligent computing paradigm for effectively processing complex temporal information. Exploiting tunable and reproducible d…
Cascadable in-memory computing based on symmetric writing and read out
Lizheng Wang, Junlin Xiong, Bin Cheng +17
The building block of in-memory computing with spintronic devices is mainly based on the magnetic tunnel junction with perpendicular interfacial anisotropy (p-MTJ). The resulting a…
Tunable quantum criticalities in an isospin extended Hubbard model simulator
Qiao Li, Bin Cheng, Moyu Chen +13
Studying strong electron correlations has been an essential driving force for pushing the frontiers of condensed matter physics. In particular, in the vicinity of correlation-drive…