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19952026
most citedFirst Dark Matter Search Results from the LUX-ZEPLIN (LZ) Experiment

747 citations · 3.7k across the 170 of their papers we have counts for

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Showing 2016Show all

9 papers · 1 filter

cs.IT2016

Artificial-Noise-Aided Secure Transmission with Directional Modulation based on Random Frequency Diverse Arrays

Jinsong Hu, Shihao Yan, Feng Shu +3

In this paper, we propose a novel directional modulation (DM) scheme based on random frequency diverse arrays with artificial noise (RFDA-DM-AN) to enhance physical layer security…

math.FA2016

On linearity of pan-integral and pan-integrable functions space

Yao Ouyang, Jun Li, Radko Mesiar

$L\sp{p}$ space is a crucial aspect of classical measure theory. For nonadditive measure, it is known that $L\sp{p}$ space theory holds for the Choquet integral whenever the monoto…

cond-mat.mes-hall2016★ 2 cited

Tuning of few-electron states and optical absorption anisotropy in GaAs quantum rings

Zhenhua Wu, Jian Li, J. Li +2

The electronic and optical properties of a GaAs quantum ring (QR) with few electrons in the presence of the Rashba spin-orbit interaction (RSOI) and the Dresselhaus spin-orbit inte…

quant-ph2016★ 41 cited

Experimentally Probing Topological Order and Its Breakdown via Modular Matrices

Zhihuang Luo, Jun Li, Zhaokai Li +4

The modern conception of phases of matter has undergone tremendous developments since the first observation of topologically ordered states in fractional quantum Hall systems in th…

quant-ph2016★ 5 cited

Experimental Preparation of Topologically Ordered States via Adiabatic Evolution

Zhihuang Luo, Jun Li, Zhaokai Li +4

Topological orders are a class of exotic states of matter characterized by patterns of long-range entanglement. Certain topologically ordered systems are proposed as potential real…

cs.CV2016★ 10 cited

A Two-Streamed Network for Estimating Fine-Scaled Depth Maps from Single RGB Images

Jun Li, Reinhard Klein, Angela Yao

Estimating depth from a single RGB image is an ill-posed and inherently ambiguous problem. State-of-the-art deep learning methods can now estimate accurate 2D depth maps, but when…