4.8 Article

Observation of Bloch oscillations dominated by effective anyonic particle statistics

期刊

NATURE COMMUNICATIONS
卷 13, 期 1, 页码 -

出版社

NATURE PORTFOLIO
DOI: 10.1038/s41467-022-29895-0

关键词

-

资金

  1. National Key R&D Program of China [2017YFA0303800]
  2. National Natural Science Foundation of China [91850205, 61421001, 12104041]

向作者/读者索取更多资源

This study reports the experimental simulation of anyonic Bloch oscillations using electric circuits. The oscillation behaviors of two bosons and two pseudofermions were verified by measuring the voltage dynamics, consistent with theoretical predictions. This research provides a flexible platform to investigate and visualize phenomena related to particle statistics.
Bloch oscillations are exotic phenomena describing the periodic motion of a wave packet subjected to an external force in a lattice, where a system possessing single or multiple particles could exhibit distinct oscillation behaviors. In particular, it has been pointed out that quantum statistics could dramatically affect the Bloch oscillation even in the absence of particle interactions, where the oscillation frequency of two pseudofermions with an anyonic statistical angle of pi becomes half of that for two bosons. However, these statistically dependent Bloch oscillations have never been observed in experiments until now. Here, we report the experimental simulation of anyonic Bloch oscillations using electric circuits. By mapping the eigenstates of two anyons to the modes of the designed circuit simulators, the Bloch oscillations of two bosons and two pseudofermions are verified by measuring the voltage dynamics. The oscillation period in the two-boson simulator is almost twice of that in the two-pseudofermion simulator, that is consistent with the theoretical prediction. Our proposal provides a flexible platform to investigate and visualize many interesting phenomena related to particle statistics and could have potential applications in the field of the signal control.

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