Full counting statistics of super-Poissonian shot noise in multi-level quantum dots

TL;DR

This paper analyzes the full counting statistics of super-Poissonian shot noise in multi-level quantum dots, revealing that the noise arises from independent Poissonian processes of different bunch sizes, which helps identify internal level structures.

Contribution

It extends the analysis of shot noise to systems with many excited states, providing a method to determine internal level structures from noise statistics.

Findings

Shot noise is a sum of independent Poissonian processes.

Enhanced noise reveals internal level structure.

Results applicable to molecules and large quantum dots.

Abstract

We examine the full counting statistics of quantum dots, which display super-Poissonian shot noise. By an extension to a generic situation with many excited states we identify the underlying transport process. The statistics is a sum of independent Poissonian processes of bunches of different sizes, which leads to the enhanced noise. The obtained results could be useful to determine transport characteristics in molecules and large quantum dots, since the noise (and higher cumulants) allow to identify the internal level structure, which is not visible in the average current.