most citedQuantum synchronization and quantum state sharing in irregular complex network

75 citations · 116 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2023

ASF-Net: Robust Video Deraining via Temporal Alignment and Online Adaptive Learning

Xinwei Xue, Jia He, Long Ma +3

In recent times, learning-based methods for video deraining have demonstrated commendable results. However, there are two critical challenges that these methods are yet to address:…

eess.SP20231 cited

Time Reversal Enabled Fiber-Optic Time Synchronization

Yufeng Chen, Hongfei Dai, Wenlin Li +3

Over the past few decades, fiber-optic time synchronization (FOTS) has provided fundamental support for the efficient operation of modern society. Looking toward the future beyond…

quant-ph201638 cited

Realization and application of parity-time-symmetric oscillators in quantum regime

Wenlin Li, Chong Li, Heshan Song

Although people have already artificially formed parity--time () symmetry with gain and loss in a balanced manner, it is still a defect that the gain is restricted to…

quant-ph20162 cited

Flexible and experimentally feasible shortcut to quantum Zeno dynamic passage

Wenlin Li, Chong Li, Heshan Song

We propose and discuss a theoretical scheme to speed up Zeno dynamic passage by an external acceleration Hamiltonian. This scheme is a flexible and experimentally feasible accelera…

quant-ph2016

Strong coupling between two spin ensembles via a large Josephson junction

Feng-Yang Zhang, Wenlin Li, Chui-Ping Yang

We propose a method to achieve strong coupling between a spin ensemble and a large Josephson junctions (LJJ). Then, the strong coupling between two spin ensembles can be induced by…

quant-ph201675 cited

Quantum synchronization and quantum state sharing in irregular complex network

Wenlin Li, Chong Li, Heshan Song

We investigate quantum synchronization phenomenon within the complex network constituted by coupled optomechanical systems and prove the unknown identical quantum states can be sha…