对称指标的忠实推导:具有时间反转和反转对称性的拓扑超导体的一个案例研究

Sheng-Jie Huang, Yi-Ting Hsu
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引用次数: 15

摘要

拓扑晶体超导体由于可能存在高阶相而引起了越来越多的关注,高阶相在d-2或更低维的边界上支持马约拉纳模式。然而,尽管这类系统的分类和体拓扑不变量已经得到了很好的研究,但由于缺乏完善的体边界对应关系,通常很难从带结构信息中忠实地预测边界Majoranas。在这里,我们提出了一种基于体带必要对称数据的最小集推导对称指标的协议,该协议可以诊断边界特征。具体而言,为了获得具有清晰体边界对应的指标,我们将实空间中的拓扑晶体分类方案与动量空间中的扭曲等变K群分析相结合。关键的一步是通过我们的实空间和动量空间方法之间的系统基匹配程序来解开通常混合的强弱指标。我们使用二维时间反转奇偶偶超导体的一个例子来证明我们的协议,其中的反转对称性已知可以保护角马约拉纳的高阶相位。从我们的协议中得到的对称指标可以很容易地应用于从头算数据库,并可以为具有各种边界特征的强和弱拓扑晶体超导体的材料预测提供燃料。
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Faithful derivation of symmetry indicators: A case study for topological superconductors with time-reversal and inversion symmetries
Topological crystalline superconductors have attracted rapidly rising attention due to the possibility of higher-order phases, which support Majorana modes on boundaries in $d-2$ or lower dimensions. However, although the classification and bulk topological invariants in such systems have been well studied, it is generally difficult to faithfully predict the boundary Majoranas from the band-structure information due to the lack of well-established bulk-boundary correspondence. Here we propose a protocol for deriving symmetry indicators that depend on a minimal set of necessary symmetry data of the bulk bands and can diagnose boundary features. Specifically, to obtain indicators manifesting clear bulk-boundary correspondence, we combine the topological crystal classification scheme in the real space and a twisted equivariant K group analysis in the momentum space. The key step is to disentangle the generally mixed strong and weak indicators through a systematic basis-matching procedure between our real-space and momentum-space approaches. We demonstrate our protocol using an example of two-dimensional time-reversal odd-parity superconductors, where the inversion symmetry is known to protect a higher-order phase with corner Majoranas. Symmetry indicators derived from our protocol can be readily applied to ab initio database and could fuel material predictions for strong and weak topological crystalline superconductors with various boundary features.
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