# Non-renewal statistics in quantum transport through the eyes of first-passage and waiting time distributions

## TL;DR

This paper compares first-passage and waiting time distributions in quantum transport, demonstrating that first-passage times better capture non-renewal behavior and backtunneling effects in nanoscale systems.

## Contribution

It introduces the use of first-passage time distributions to accurately analyze non-renewal behavior in quantum transport, especially when waiting times are insufficient.

## Key findings

- First-passage times correctly identify non-renewal behavior.
- Waiting times fail to incorporate backtunneling effects.
- First-passage analysis applies across multiple transport regimes.

## Abstract

The waiting time distribution has, in recent years, proven to be a useful statistical tool for characterising transport in nanoscale quantum transport. In particular, as opposed to moments of the distribution of transferred charge, which have historically been calculated in the long-time limit, waiting times are able to detect non-renewal behaviour in mesoscopic systems. They have failed, however, to correctly incorporate backtunneling events. Recently, a method has been developed that can describe unidirectional and bidirectional transport on an equal footing: the distribution of first-passage times. Rather than the time between successive electron tunnelings, the first-passage refers to the first time the number of extra electrons in the drain reaches $+1$. Here, we demonstrate the differences between first-passage time statistics and waiting time statistics in transport scenarios where the waiting time either cannot correctly reproduce the higher order current cumulants or cannot be calculated at all. To this end, we examine electron transport through a molecule coupled to two macroscopic metal electrodes. We model the molecule with strong electron-electron and electron-phonon interactions in three regimes: (i) sequential tunneling and cotunneling for a finite bias voltage through the Anderson model, (ii) sequential tunneling with no temperature gradient and a bias voltage through the Holstein model, and (iii) sequential tunneling at zero bias voltage and a temperature gradient through the Holstein model. We show that, for each transport scenario, backtunneling events play a significant role; consequently, the waiting time statistics do not correctly predict the renewal and non-renewal behaviour, whereas the first-passage time distribution does.