# Flipping coin experiment for studying switching in Josephson junctions and superconducting wires

## TL;DR

This paper investigates the stochastic switching behavior of Josephson junctions and superconducting wires, analyzing how correlations between switching events affect their switching statistics, using a coin-flip analogy.

## Contribution

It introduces a novel approach to study the independence of switching events in Josephson junctions by modeling them as biased coins with current-dependent probabilities.

## Key findings

- Correlation between switching events influences switching probability
- The coin-flip model helps understand the physics of escape processes
- Switching statistics are affected by event dependencies

## Abstract

Josephson junctions and superconducting wires when probed with current pulses exhibit stochastic switching from superconducting to a stable non-zero voltage state. Electrical current dependence of the switching probability (so called S-curve) or switching current distribution is a fingerprint of the physics governing the escape process. This work addresses the criterion of independent switching event in a series of switching experiments. Treating Josephson junction as an electrical coin with current-tuned switching probability we investigate effect of correlation between switching events on the switching statistics.