Zobrazeno 1 - 10
of 6 118
pro vyhledávání: '"ZHANG, Su"'
Influence maximization (IM) seeks to identify a seed set that maximizes influence within a network, with applications in areas such as viral marketing, disease control, and political campaigns. The budgeted influence maximization (BIM) problem extend
Externí odkaz:
http://arxiv.org/abs/2410.04820
Autor:
Li, Shu-Ang, Meng, Xiao-Yan, Zhang, Su, Zhang, Ying-Jie, Yang, Run-Zhou, Wang, Dian-Dian, Yang, Yang, Liu, Pei-Pei, Kang, Jian-Sheng
An accurate map of intracellular organelle pH is crucial for comprehending cellular metabolism and organellar functions. However, a unified intracellular pH spectrum using a single probe is still lack. Here, we developed a novel quantum entanglement-
Externí odkaz:
http://arxiv.org/abs/2407.04232
Given the existence of various forward and inverse problems in combustion studies and applications that necessitate distinct methods for resolution, a framework to solve them in a unified way is critically needed. A promising approach is the integrat
Externí odkaz:
http://arxiv.org/abs/2406.09071
Autor:
Zhao, Yi-Ning, Chen, Lin-Shan, Chen, Liu-Ya, Kong, Lingxin, Wang, Chong, Ren, Cheng, Zhang, Su-Heng, Cao, De-Zhong
A scenario of ghost imaging with hybrid transform approach is proposed by integrating Hadamard, discrete cosine, and Haar matrices. The measurement matrix is formed by the Kronecker product of the two different transform matrices. The image informati
Externí odkaz:
http://arxiv.org/abs/2405.03729
Complex contagion phenomena, such as the spread of information or contagious diseases, often occur among the population due to higher-order interactions between individuals. Individuals who can be represented by nodes in a network may play different
Externí odkaz:
http://arxiv.org/abs/2404.01046
Non-Abelian anyons have garnered extensive attention for obeying exotic non-Abelian statistics and having potential applications to fault-tolerant quantum computing. While the prior research has predominantly focused on non-Abelian statistics without
Externí odkaz:
http://arxiv.org/abs/2403.09602
Influence Maximization(IM) aims to identify highly influential nodes to maximize influence spread in a network. Previous research on the IM problem has mainly concentrated on single-layer networks, disregarding the comprehension of the coupling struc
Externí odkaz:
http://arxiv.org/abs/2311.08663
This paper primarily focuses on analyzing the problems and proposing solutions for the probabilistic truncation protocol in existing PPML works from the perspectives of accuracy and efficiency. In terms of accuracy, we reveal that precision selection
Externí odkaz:
http://arxiv.org/abs/2309.04909
Emotion recognition using electroencephalogram (EEG) mainly has two scenarios: classification of the discrete labels and regression of the continuously tagged labels. Although many algorithms were proposed for classification tasks, there are only a f
Externí odkaz:
http://arxiv.org/abs/2308.16207
Autor:
Zhang, Su-Qi, Hong, Jian-Song, Xue, Yuan, Luo, Xun-Jiang, Yu, Li-Wei, Liu, Xiong-Jun, Liu, Xin
Publikováno v:
Physical Review B 109, 165302 (2024)
The realization of quantum gates in topological quantum computation still confronts significant challenges in both fundamental and practical aspects. Here, we propose a deterministic and fully topologically protected measurement-based scheme to reali
Externí odkaz:
http://arxiv.org/abs/2305.18190