30 citations · 54 across the 3 of their papers we have counts for
3 papers
quant-ph2021
Strong entanglement distribution of quantum networks
Xue Yang, Yan-Han Yang, Ming-Xing Luo
Large-scale quantum networks have been employed to overcome practical constraints of transmissions and storage for single entangled systems. Our goal in this article is to explore…
cond-mat.dis-nn2017★ 30 cited
Extracting Critical Exponent by Finite-Size Scaling with Convolutional Neural Networks
Zhenyu Li, Mingxing Luo, Xin Wan
Machine learning has been successfully applied to identify phases and phase transitions in condensed matter systems. However, quantitative characterization of the critical fluctuat…
cond-mat.dis-nn2017★ 24 cited
Identifying Product Order with Restricted Boltzmann Machines
Wen-Jia Rao, Zhenyu Li, Qiong Zhu +2
Unsupervised machine learning via a restricted Boltzmann machine is an useful tool in distinguishing an ordered phase from a disordered phase. Here we study its application on the…