Estimating disorder and its adverse effects in semiconductor Majorana nanowires
Seongjin Ahn, Haining Pan, Benjamin Woods, Tudor D. Stanescu, Sankar, Das Sarma

TL;DR
This paper estimates the disorder levels in semiconductor nanowires used for Majorana zero mode experiments, finding current disorder is too high for topological Majorana modes and explaining the sporadic experimental observations.
Contribution
It provides a dataset of disorder estimates from literature and links these to the emergence of trivial zero modes in Majorana nanowire simulations.
Findings
Current disorder exceeds the threshold for topological Majorana modes by at least an order of magnitude.
Disorder leads to trivial zero-bias peaks that can be fine-tuned and occasionally observed in experiments.
Most disordered systems show no significant features in tunnel spectra, aligning with experimental results.
Abstract
We use the available transport measurements in the literature to develop a dataset for the likely amount of disorder in semiconductor (InAs and InSb) materials which are used in fabricating the superconductor-semiconductor nanowire samples in the experimental search for Majorana zero modes. Using the estimated disorder in direct Majorana simulations, we conclude that the current level of disorder in semiconductor Majorana nanowires is at least an order of magnitude higher than that necessary for the emergence of topological Majorana zero modes. In agreement with existing results, we find that our estimated disorder leads to the occasional emergence of trivial zero modes, which can be post-selected and then further fine-tuned by varying system parameters (e.g., tunnel barrier), leading to trivial zero-bias conductance peaks in tunneling spectroscopy with magnitude. Most…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
