arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2009.02002cond-mat.mtrl-scicond-mat.supr-con
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准一维超导体TaSe3拓扑电子结构的观测

Observation of topological electronic structure in quasi-1D superconductor TaSe3

Cheng Chen, Aiji Liang, Shuai Liu, Simin Nie, Junwei Huang, Meixiao Wang, Yiwei Li, Ding Pei, Haifeng Yang, Huijun Zheng, Yong Zhang, Donghui Lu, Makoto Hashimo… 展开作者

Cheng Chen, Aiji Liang, Shuai Liu, Simin Nie, Junwei Huang, Meixiao Wang, Yiwei Li, Ding Pei, Haifeng Yang, Huijun Zheng, Yong Zhang, Donghui Lu, Makoto Hashimoto, Alexei Barinov, Chris Jozwiak, Aaron Bostwick, Eli Rotenberg, Xufeng Kou, Lexian Yang, Yanfeng Guo, Zhijun Wang, Hongtao Yuan, Zhongkai Liu, Yulin Chen

摘要:

拓扑超导体(Topological Superconductors,TSCs)是近年来凝聚态物理研究的热点之一,它可以容纳Majorana束缚态,从而产生非阿贝尔统计,并在量子计算中有着重要的应用。迄今为止,只有少数化合物被提出作为本征TSC的候选物,例如掺杂的拓扑绝缘体CuxBi2Se3和铁基超导体FeTe 0.55Se 0.45。本文利用同步辐射和激光角分辨光电子能谱(ARPES)系统地研究了准一维超导体TaSe 3的电子结构,确定了其非平凡拓扑表面态。此外,我们的扫描隧道显微镜(STM)的研究揭示了一个干净的解理表面与持久的超导能隙,证明它适合进一步调查潜在的马约拉纳模式。这些结果证明TaSe 3是一种稳定且可剥离的化学计量比TSC候选物,因此为研究丰富的新现象和应用潜力提供了一个很好的平台。

英文摘要:

Topological superconductors (TSCs), with the capability to host Majorana bound states that can lead to non-Abelian statistics and application in quantum computation, have been one of the most intensively studied topics in condensed matter physics recently. Up to date, only a few compounds have been proposed as candidates of intrinsic TSCs, such as doped topological insulator CuxBi2Se3 and iron-based superconductor FeTe0.55Se0.45. Here, by carrying out synchrotron and laser based angle-resolved photoemission spectroscopy (ARPES), we systematically investigated the electronic structure of a quasi-1D superconductor TaSe3, and identified the nontrivial topological surface states. In addition, our scanning tunneling microscopy (STM) study revealed a clean cleaved surface with a persistent superconducting gap, proving it suitable for further investigation of potential Majorana modes. These results prove TaSe3 as a stoichiometric TSC candidate that is stable and exfoliable, therefore a great platform for the study of rich novel phenomena and application potentials.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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