Stochastic dynamics of phase-slip trains and superconductive-resistive switching in current-biased nanowires
David Pekker, Nayana Shah, Mitrabhanu Sahu, Alexey Bezryadin, Paul M., Goldbart

TL;DR
This paper develops a stochastic model to analyze phase-slip events and superconductive-resistive switching in current-biased superconducting nanowires, providing insights into thermal runaway mechanisms and quantum tunneling phenomena.
Contribution
It introduces a new stochastic framework for understanding switching dynamics in nanowires, linking phase-slip events to measurable current distributions and identifying regimes for quantum effects.
Findings
Single phase-slip events can induce switching under certain conditions.
The model explains the temperature-dependent broadening of switching current distributions.
Experimental data aligns with the model, revealing regimes for quantum tunneling exploration.
Abstract
Superconducting nanowires fabricated via carbon-nanotube-templating can be used to realize and study quasi-one-dimensional superconductors. However, measurement of the linear resistance of these nanowires have been inconclusive in determining the low-temperature behavior of phase-slip fluctuations, both quantal and thermal. Thus, we are motivated to study the nonlinear current-voltage characteristics in current-biased nanowires and the stochastic dynamics of superconductive-resistive switching, as a way of probing phase-slip events. In particular, we address the question: Can a single phase-slip event occurring somewhere along the wire--during which the order-parameter fluctuates to zero--induce switching, via the local heating it causes? We explore this and related issues by constructing a stochastic model for the time-evolution of the temperature in a nanowire whose ends are…
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