Quantifying Decoherence of Gaussian Noise Channels

doi:10.1007/s10955-021-02758-6

CSpace > 应用数学研究所

	Quantifying Decoherence of Gaussian Noise Channels
	Zhang, Yue 1,2; Luo, Shunlong3,4
	2021-05-01
发表期刊	JOURNAL OF STATISTICAL PHYSICS
ISSN	0022-4715
卷号	183 期号:2 页码:18
摘要	Gaussian noise channels (also called classical noise channels, bosonic Gaussian channels) arise naturally in continuous variable quantum information and play an important role in both theoretical analysis and experimental investigation of information transmission. After reviewing concisely the basic properties of these channels, we introduce an information-theoretic measure for the decoherence of optical states caused by these channels in terms of averaged Wigner-Yanase skew information, explore its basic features, obtain a scaling law, and derive a complementarity relation between the decoherence and the quantum affinity. As an application of the decoherence measure, we derive a convenient and sufficient criterion for detecting optical nonclassicality. The decoherence on some typical optical states caused by Gaussian noise channels are explicitly evaluated to illustrate the concept.
关键词	Gaussian noise channels Decoherence Weyl displacement Wigner-Yanase skew information
DOI	10.1007/s10955-021-02758-6
收录类别	SCI
语种	英语
资助项目	National Key R&D Program of China[2020YFA0712700] ; National Natural Science Foundation of China[11875317] ; National Natural Science Foundation of China[61833010]
WOS研究方向	Physics
WOS类目	Physics, Mathematical
WOS记录号	WOS:000642905000001
出版者	SPRINGER
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/58494
专题	应用数学研究所
通讯作者	Luo, Shunlong
作者单位	1.Peking Univ, Sch Phys, Frontiers Sci Ctr Nanooptoelect, State Key Lab Mesoscop Phys, Beijing 100871, Peoples R China 2.Beijing Acad Quantum Informat Sci, Beijing 100193, Peoples R China 3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China 4.Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Yue,Luo, Shunlong. Quantifying Decoherence of Gaussian Noise Channels[J]. JOURNAL OF STATISTICAL PHYSICS,2021,183(2):18.
APA	Zhang, Yue,&Luo, Shunlong.(2021).Quantifying Decoherence of Gaussian Noise Channels.JOURNAL OF STATISTICAL PHYSICS,183(2),18.
MLA	Zhang, Yue,et al."Quantifying Decoherence of Gaussian Noise Channels".JOURNAL OF STATISTICAL PHYSICS 183.2(2021):18.