4.8 Article

Remote Generation of Magnon Schrodinger Cat State via Magnon-Photon Entanglement

期刊

PHYSICAL REVIEW LETTERS
卷 127, 期 8, 页码 -

出版社

AMER PHYSICAL SOC
DOI: 10.1103/PhysRevLett.127.087203

关键词

-

资金

  1. National Natural Science Foundation of China [61675007, 11975026, 61974067]
  2. Key R&D Program of the Guangzhou Province [2018B030329001]
  3. Beijing Natural Science Foundation [Z190005]
  4. China Postdoctoral Science Foundation [2020M680186]
  5. NSFC [61774017, 11734004, 12088101]
  6. NSAF [U1930402]

向作者/读者索取更多资源

The study proposes a method to remotely prepare magnon cat states by performing non-Gaussian operations on the optical mode, resulting in high fidelity and nonclassicality of the cat states. This has potential applications in quantum technologies.
The magnon cat state represents a macroscopic quantum superposition of collective magnetic excitations of large number spins that not only provides fundamental tests of macroscopic quantum effects but also finds applications in quantum metrology and quantum computation. In particular, remote generation and manipulation of Schrodinger cat states are particularly interesting for the development of long-distance and large-scale quantum information processing. Here, we propose an approach to remotely prepare magnon even or odd cat states by performing local non-Gaussian operations on the optical mode that is entangled with the magnon mode through pulsed optomagnonic interaction. By evaluating key properties of the resulting cat states, we show that for experimentally feasible parameters, they are generated with both high fidelity and nonclassicality, as well as with a size large enough to be useful for quantum technologies. Furthermore, the effects of experimental imperfections such as the error of projective measurements and dark count when performing single-photon operations have been discussed, where the lifetime of the created magnon cat states is expected to be t similar to 1 mu s.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据