# End-to-end correlated subgap states in hybrid nanowires

## TL;DR

This study investigates end-to-end correlated subgap states in superconductor-semiconductor nanowires, revealing how correlations vary with device length and analyzing conductance distributions to understand their underlying properties.

## Contribution

It introduces a method to identify and analyze end-to-end correlations in subgap states, highlighting the impact of device length on correlation strength and mutual information between conductance distributions.

## Key findings

- Strong correlations in 300 nm device reduced in 900 nm device
- Cross-correlation function effectively detects end-to-end coincidences
- Mutual information reveals relationships between conductance distributions

## Abstract

End-to-end correlated bound states are investigated in superconductor-semiconductor hybrid nanowires at zero magnetic field. Peaks in subgap conductance are independently identified from each wire end, and a cross-correlation function is computed that counts end-to-end coincidences, averaging over thousands of subgap features. Strong correlations in a short, $300~\mathrm{nm}$ device are reduced by a factor of four in a long, $900~\mathrm{nm}$ device. In addition, subgap conductance distributions are investigated, and correlations between the left and right distributions are identified based on their mutual information.