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Proximity-induced superconducting gap in the quantum spin Hall edge state of monolayer WTe2
The quantum spin Hall insulator is characterized by a bandgap in the two-dimensional (2D) interior and helical 1D edge states 1 – 3 . Inducing superconductivity in the helical edge state results in a 1D topological superconductor, a highly sought-after state of matter at the core of many proposals f...
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Published in: | Nature physics 2020-05, Vol.16 (5), p.526-530 |
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Main Authors: | , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The quantum spin Hall insulator is characterized by a bandgap in the two-dimensional (2D) interior and helical 1D edge states
1
–
3
. Inducing superconductivity in the helical edge state results in a 1D topological superconductor, a highly sought-after state of matter at the core of many proposals for topological quantum computing
4
. In the present study, we report the coexistence of superconductivity and the quantum spin Hall edge state in a van der Waals heterostructure, by placing a monolayer of 1T′-WTe
2
, a quantum spin Hall insulator
1
–
3
, on a van der Waals superconductor, NbSe
2
. Using scanning tunnelling microscopy and spectroscopy (STM/STS), we demonstrate that the WTe
2
monolayer exhibits a proximity-induced superconducting gap due to the underlying superconductor and that the spectroscopic features of the quantum spin Hall edge state remain intact. Taken together, these observations provide conclusive evidence for proximity-induced superconductivity in the quantum spin Hall edge state in WTe
2
, a crucial step towards realizing 1D topological superconductivity and Majorana bound states in this van der Waals material platform.
One way of producing Majorana fermions for topological quantum computing is to induce superconductivity in other topological states. Here, the proximity effect does this for the quantum spin Hall effect state in a 2D material. |
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ISSN: | 1745-2473 1745-2481 |
DOI: | 10.1038/s41567-020-0816-x |