KMS Of Academy of mathematics and systems sciences, CAS
Detecting non-Gaussianity via nonclassicality | |
Zhang,Yue1,2; Luo,Shunlong1,2 | |
2020-01-28 | |
发表期刊 | Physica Scripta |
ISSN | 0031-8949 |
卷号 | 95期号:3 |
摘要 | Abstract Two prominent classification schemes for Bosonic field states are (i) classical versus nonclassical, and (ii) Gaussian versus non-Gaussian. These two paradigms are closely related yet fundamentally different. In particular, classical states may be Gaussian or non-Gaussian, and Gaussian states may be classical or nonclassical. Both non-Gaussianity and nonclassicality are important resources for quantum information processing. It is desirable to study the interplay between non-Gaussianity and nonclassicality, and seek effective methods of detecting them. In this work, we introduce a quantifier for non-Gaussianity by exploiting and optimizing an information-theoretic quantifier for nonclassicality, and exhibit its basic properties. A criterion for simultaneously detecting non-Gaussianity and nonclassicality follows, and its applications are illustrated through several examples. This unveils some intrinsic relations between non-Gaussianity and nonclassicality. |
关键词 | quantum optics non-Gaussianity nonclassicality Wigner–Yanase skew information |
DOI | 10.1088/1402-4896/ab5b24 |
语种 | 英语 |
WOS记录号 | IOP:0031-8949-95-3-ab5b24 |
出版者 | IOP Publishing |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.amss.ac.cn/handle/2S8OKBNM/50295 |
专题 | 应用数学研究所 |
作者单位 | 1.Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, People’s Republic of China 2.School of Mathematical Sciences, University of the Chinese Academy of Sciences, Beijing 100049, People’s Republic of China |
推荐引用方式 GB/T 7714 | Zhang,Yue,Luo,Shunlong. Detecting non-Gaussianity via nonclassicality[J]. Physica Scripta,2020,95(3). |
APA | Zhang,Yue,&Luo,Shunlong.(2020).Detecting non-Gaussianity via nonclassicality.Physica Scripta,95(3). |
MLA | Zhang,Yue,et al."Detecting non-Gaussianity via nonclassicality".Physica Scripta 95.3(2020). |
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