Zobrazeno 1 - 10
of 100
pro vyhledávání: '"Zhang, Hongxuan"'
Autor:
Wang, Chenxi, Huang, Chuanxin, Zhang, Hongxuan, Hu, Hongyuan, Mao, Zhichao, Hou, Panyu, Wu, Yukai, Zhou, Zichao, Duan, Luming
Dual-type qubits have become a promising way to suppress the crosstalk error of auxiliary operations in large-scale ion trap quantum computation. Here we demonstrate a direct entangling gate between dual-type qubits encoded in the $S_{1/2}$ and $D_{5
Externí odkaz:
http://arxiv.org/abs/2410.05659
Autor:
Huang, Chuanxin, Wang, Chenxi, Zhang, Hongxuan, Hu, Hongyuan, Wang, Zuqing, Mao, Zhichao, Li, Shijiao, Hou, Panyu, Wu, Yukai, Zhou, Zichao, Duan, Luming
Publikováno v:
PhysRevLett.133.113204 (2024)
We report the electromagnetically-induced-transparency (EIT) cooling of $^{137}\mathrm{Ba}^{+}$ ions with a nuclear spin of $I=3/2$, which are a good candidate of qubits for future large-scale trapped ion quantum computing. EIT cooling of atoms or io
Externí odkaz:
http://arxiv.org/abs/2408.12075
Autor:
Lu, Xingyu, Liu, Zhining, Guan, Yanchu, Zhang, Hongxuan, Zhuang, Chenyi, Ma, Wenqi, Tan, Yize, Gu, Jinjie, Zhang, Guannan
Publikováno v:
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence AI for Good. Pages 6103-6111
Given the enormous number of users and items, industrial cascade recommendation systems (RS) are continuously expanded in size and complexity to deliver relevant items, such as news, services, and commodities, to the appropriate users. In a real-worl
Externí odkaz:
http://arxiv.org/abs/2312.16176
Autor:
Zhang, Hongxuan, Liu, Zhining, Zhao, Yao, Zheng, Jiaqi, Zhuang, Chenyi, Gu, Jinjie, Chen, Guihai
In this work, we propose FastCoT, a model-agnostic framework based on parallel decoding without any further training of an auxiliary model or modification to the LLM itself. FastCoT uses a size-varying context window whose size changes with position
Externí odkaz:
http://arxiv.org/abs/2311.08263
Autor:
Zhou, You, Lin, Xiujing, Zhang, Xiang, Wang, Maolin, Jiang, Gangwei, Lu, Huakang, Wu, Yupeng, Zhang, Kai, Yang, Zhe, Wang, Kehang, Sui, Yongduo, Jia, Fengwei, Tang, Zuoli, Zhao, Yao, Zhang, Hongxuan, Yang, Tiannuo, Chen, Weibo, Mao, Yunong, Li, Yi, Bao, De, Li, Yu, Liao, Hongrui, Liu, Ting, Liu, Jingwen, Guo, Jinchi, Zhao, Xiangyu, WEI, Ying, Qian, Hong, Liu, Qi, Wang, Xiang, Kin, Wai, Chan, Li, Chenliang, Li, Yusen, Yang, Shiyu, Yan, Jining, Mou, Chao, Han, Shuai, Jin, Wuxia, Zhang, Guannan, Zeng, Xiaodong
Artificial Intelligence (AI) has achieved significant advancements in technology and research with the development over several decades, and is widely used in many areas including computing vision, natural language processing, time-series analysis, s
Externí odkaz:
http://arxiv.org/abs/2311.00447
We crossmatch galaxies from Mapping Nearby Galaxies at Apache Point Observatory with the Open Supernova Catalog, obtaining a total of 132 SNe within MaNGA bundle. These 132 SNe can be classified into 67 Type Ia and 65 Type CC. We study the global and
Externí odkaz:
http://arxiv.org/abs/2109.12366
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
Introduction: In order to dispatch frequency regulation resources in regional power grids efficiently and promote the development of spot markets, China Southern Power Grid (CSG) established the unified frequency regulation control area. However, the
Externí odkaz:
https://doaj.org/article/816878bb99f54f8fa77a0802319e2e41
Publikováno v:
In Economic Analysis and Policy March 2024 81:134-152
Deep neural networks (DNNs) sustain high performance in today's data processing applications. DNN inference is resource-intensive thus is difficult to fit into a mobile device. An alternative is to offload the DNN inference to a cloud server. However
Externí odkaz:
http://arxiv.org/abs/2101.05952
In this work, we present a general framework for the design and analysis of two-level AMG methods. The approach is to find a basis for locally optimal or quasi-optimal coarse space, such as the space of constant vectors for standard discretizations o
Externí odkaz:
http://arxiv.org/abs/1705.07806