26 citations · 81 across the 9 of their papers we have counts for
9 papers
A scalable entanglement distribution framework for hybrid quantum networks
Yaqi Zhao, Kan He, Jinchuan Hou +3
The realization of a scalable quantum network (QN) hinges on the efficient distribution of entanglement across heterogeneous hardware platforms. While traditional QN frameworks are…
Full-Rank Noise Forbids Long-Range Entanglement Swapping
Xuan Du Trinh, Nicholas Pardave, Angie Huang +2
Quantum repeaters extend entanglement by swapping noisy elementary links. We prove that full-rank noise forbids this at long range: for any entangled full-rank two-qubit link, ther…
A nonconvex entanglement monotone determining the characteristic length of entanglement distribution in continuous-variable quantum networks
Yaqi Zhao, Jinchuan Hou, Kan He +2
Quantum networks (QNs) promise to enhance the performance of various quantum technologies in the near future by distributing entangled states over long distances. The first step to…
Path Percolation in Quantum Communication Networks
Xiangyi Meng, Bingjie Hao, Balázs Ráth +1
In a quantum communication network, links represent entanglement between qubits located at different nodes. Even if two nodes are not directly linked by shared entanglement, commun…
Quantum Communication Networks Enhanced by Distributed Quantum Memories
Xiangyi Meng, Nicolò Lo Piparo, Kae Nemoto +1
Building large-scale quantum communication networks has its unique challenges. Here, we demonstrate that a network-wide synergistic usage of quantum memories distributed in a quant…
Unveiling the Importance of Nonshortest Paths in Quantum Networks
Xinqi Hu, Gaogao Dong, Kim Christensen +7
Quantum networks (QNs) exhibit stronger connectivity than predicted by classical percolation, yet the origin of this phenomenon remains unexplored. We apply a statistical physics m…
Percolation Theories for Quantum Networks
Xiangyi Meng, Xinqi Hu, Yu Tian +4
Quantum networks have experienced rapid advancements in both theoretical and experimental domains over the last decade, making it increasingly important to understand their large-s…
The nature and nurture of network evolution
Bin Zhou, Petter Holme, Zaiwu Gong +4
Although the origin of the fat-tail characteristic of the degree distribution in complex networks has been extensively researched, the underlying cause of the degree distribution c…
Scale-Free Networks beyond Power-Law Degree Distribution
Xiangyi Meng, Bin Zhou
Complex networks across various fields are often considered to be scale free -- a statistical property usually solely characterized by a power-law distribution of the nodes' degree…