120 citations
- Dalian University of TechnologyCN3 papers
- Central China Normal UniversityCN1 paper
- Hangzhou Normal UniversityCN1 paper
- Huazhong University of Science and TechnologyCN1 paper
- Peking UniversityCN1 paper
- RIKENJP1 paper
- RIKEN Advanced Science InstituteJP1 paper
- University of MichiganUS1 paper
- Zhejiang UniversityCN1 paper
7 papers
Cavity magnomechanics: from classical to quantum
Xuan Zuo, Zhi-Yuan Fan, Hang Qian +4
Hybrid quantum systems based on magnons in magnetic materials have made significant progress in the past decade. They are built based on the couplings of magnons with microwave pho…
Magnon squeezing enhanced entanglement in a cavity magnomechanical system
Ming-Song Ding, Ying Shi, Yu-jie Liu +1
We investigate the generation of the entanglement in a cavity magnomechanical system, which consists of three modes: a magnon mode, a microwave cavity mode and a mechanical vibrati…
Phonon laser in a cavity magnomechanical system
Ming-Song Ding, Li Zheng, Chong Li
The phonon analog of an optical laser has become the focus of research. We theoretically study phonon laser in a cavity magnomechanical system, which consist of a microwave cavity,…
Ground-state cooling of an magnomechanical resonator induced by magnetic damping
Ming-Song Ding, Li Zheng, Chong Li
Quantum manipulation of mechanical resonators has been widely applied in fundamental physics and quantum information processing. Among them, cooling the mechanical system to its qu…
Tag-Enhanced Tree-Structured Neural Networks for Implicit Discourse Relation Classification
Yizhong Wang, Sujian Li, Jingfeng Yang +2
Identifying implicit discourse relations between text spans is a challenging task because it requires understanding the meaning of the text. To tackle this task, recent studies hav…
Robustness of classification ability of spiking neural networks
Jie Yang, Pingping Zhang, Yan Liu
It is well-known that the robustness of artificial neural networks (ANNs) is important for their wide ranges of applications. In this paper, we focus on the robustness of the class…