Honing in on a topological zero-bias conductance peak.

Majorana bound states conductances peak topological zero-bias

Journal

Journal of physics. Condensed matter : an Institute of Physics journal
ISSN: 1361-648X
Titre abrégé: J Phys Condens Matter
Pays: England
ID NLM: 101165248

Informations de publication

Date de publication:
19 Oct 2023
Historique:
received: 04 08 2023
accepted: 09 10 2023
medline: 10 10 2023
pubmed: 10 10 2023
entrez: 9 10 2023
Statut: epublish

Résumé

A popular signature of Majorana bound states in topological superconductors is the quantized zero-energy conductance peak. However, a similar zero energy conductance peak can also arise due to non-topological reasons. Here we show that these trivial and topological zero energy conductance peaks can be distinguished via the zero energy local density of states (LDOSs) and local magnetization density of states (LMDOSs). We find that the zero-energy LDOSs and the LMDOSs exhibit periodic oscillations for a trivial zero-bias conductance peak (ZBCP). In contrast, these oscillations disappear for the topological ZBCP because of perfect Andreev reflection at zero energy in topological superconductor junctions. Our results suggest that the zero-energy LDOSs and the LMDOSs can be used as an experimental probe to distinguish a trivial zero-energy conductance peak from a topological zero-energy conductance peak.

Identifiants

pubmed: 37813102
doi: 10.1088/1361-648X/ad0192
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2023 IOP Publishing Ltd.

Auteurs

Subhajit Pal (S)

School of Physical Sciences, National Institute of Science Education & Research, Jatni 752050, India.
Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai 400094, India.

Colin Benjamin (C)

School of Physical Sciences, National Institute of Science Education & Research, Jatni 752050, India.
Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai 400094, India.

Classifications MeSH