148 citations · 1.1k across the 67 of their papers we have counts for
7 papers · 1 filter
The behavior of rich-club coefficient in scale-free networks
Zhihang Liu, Wei Li, Yuxiang Yang
The rich-club phenomenon, which provides information about the association between nodes, is a useful method to study the hierarchy structure of networks. In this work, we explore…
Autoencoder-assisted study of directed percolation with spatial long-range interactions
Yanyang Wang, Yuxiang Yang, Wei Li
Spatial L{é}vy-like flights are introduced as a way in the absorbing phase transitions to produce non-local interactions. We utilize the autoencoder, an unsupervised learning metho…
Machine learning of (1+1)-dimensional directed percolation based on raw and shuffled configurations
Shen Jianmin, Wang Shanshan, Li Wei +6
Machine learning (ML) can process large sets of data generated from complex systems, which is ideal for classification tasks as often appeared in critical phenomena. Meanwhile ML t…
Noise-Agnostic Quantum Error Mitigation with Data Augmented Neural Models
Manwen Liao, Yan Zhu, Giulio Chiribella +1
Quantum error mitigation, a data processing technique for recovering the statistics of target processes from their noisy version, is a crucial task for near-term quantum technologi…
Quantum-enhanced metrology with network states
Yuxiang Yang, Benjamin Yadin, Zhen-Peng Xu
Armed with quantum correlations, quantum sensors in a network have shown the potential to outclass their classical counterparts in distributed sensing tasks such as clock synchroni…
Quantum Uncertainty Principles for Measurements with Interventions
Yunlong Xiao, Yuxiang Yang, Ximing Wang +2
Heisenberg's uncertainty principle implies fundamental constraints on what properties of a quantum system can we simultaneously learn. However, it typically assumes that we probe t…
Experimental super-Heisenberg quantum metrology with indefinite gate order
Peng Yin, Xiaobin Zhao, Yuxiang Yang +10
The precision of quantum metrology is widely believed to be restricted by the Heisenberg limit, corresponding to a root mean square error that is inversely proportional to the numb…