生成真正相关高斯状态的网络机制

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2024-01-26 DOI:10.1088/2399-6528/ad22e6

Zhaofang Bai, Shuan-ping Du

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引用次数: 0

摘要

生成具有真正量子相关性（GQC）的远距离量子态是量子网络支持量子通信的最基本功能之一。在这里，我们提出了一种生成具有一定 GQC（包括真正纠缠）的多模高斯态的确定性方案。我们还提出了生成多模态的高效算法。我们的方案有助于解决生成某些多模高斯态的瓶颈问题，并可为当前量子技术中制备多方量子态的实际应用铺平道路。

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Network mechanism for generating genuinely correlative Gaussian states

Generating a long-distance quantum state with genuine quantum correlation (GQC) is one of the most essential functions of quantum networks to support quantum communication. Here, we pro- vide a deterministic scheme for generating multimode Gaussian states with certain GQC (including genuine entanglement). Efficient algorithms of generating multimode states are also proposed. Our scheme is useful for resolving the bottleneck in generating some multimode Gaussian states and may pave the way towards real world applications of preparing multipartite quantum states in current quantum technologies.

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.