Random matrix theory for the robustness, quantization, and end-to-end correlation of zero-bias conductance peaks in a class D ensemble
Haining Pan, Jay Deep Sau, Sankar Das Sarma

TL;DR
This paper develops a random matrix theory framework to analyze the robustness, quantization, and correlations of zero-bias conductance peaks in disordered topological superconductor systems, aiding the identification of Majorana zero modes.
Contribution
It introduces a new theoretical approach using class D random matrix ensembles to study ZBCPs and their correlations, including the concept of robustness and end-to-end mutual information.
Findings
Stronger ZBCPs tend to have higher conductance peaks.
Shorter chains exhibit more prominent ZBCP correlations.
Disorder-induced trivial ZBCPs can mimic signatures of Majorana modes.
Abstract
We develop a general theory to study strong random quenched disorder effects in systems of experimental relevance in the search for Majorana zero modes (MZM) in topological superconductors. Using the random matrix theory in a class D ensemble, we simulate the transport properties of random quantum dots by attaching leads, and calculating the differential conductance in the matrix formalism. To add the concept of the length to the random system so that disordered Majorana nanowires can be simulated by the random matrix theory, we generalize the model of a single quantum dot to a chain of quantum dots by analogy with the superconductor-semiconductor (SC-SM) nanowire Majorana platform. We first define a new concept, the robustness of zero-bias conductance peaks (ZBCPs), in terms of an effective random Hamiltonian considering the self-energy of leads. We then study the joint…
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