Shot noise distinguishes Majorana fermions from vortices injected in the edge mode of a chiral p-wave superconductor
arXiv:2009.14173 · doi:10.21468/SciPostPhys.9.5.080
Abstract
The chiral edge modes of a topological superconductor support two types of excitations: fermionic quasiparticles known as Majorana fermions and -phase domain walls known as edge vortices. Edge vortices are injected pairwise into counter-propagating edge modes by a flux bias or voltage bias applied to a Josephson junction. An unpaired edge mode carries zero electrical current on average, but there are time-dependent current fluctuations. We calculate the shot noise power produced by a sequence of edge vortices and find that it increases logarithmically with their spacing - even if the spacing is much larger than the core size so the vortices do not overlap. This nonlocality produces an anomalous V log V increase of the shot noise in a voltage-biased geometry, which serves as a distinguishing feature in comparison with the linear-in-V Majorana fermion shot noise.
15 pages, 4 figures
References in corpus (5)
- Electrically detected interferometry of Majorana fermions in a topological insulator
- A note on the Full Counting Statistics of paired fermions
- Scattering theory of chiral Majorana fermion interferometry
- Half-integer charge injection by a Josephson junction without excess noise
- Wiedemann-Franz-type relation between shot noise and thermal conduction of Majorana surface states in a three-dimensional topological superconductor
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- Theory of Berry Singularity Markers: Diagnosing Topological Phase Transitions via Lock-In Tomography