Non-Gaussian work statistics at finite-time driving
Krissia Zawadzki, Anthony Kiely, Gabriel T. Landi, Steve Campbell

TL;DR
This paper investigates the non-Gaussian features of work distributions in a quantum many-body system driven through a phase transition, revealing how finite-time driving influences skewness and negentropy.
Contribution
It introduces quantitative metrics for non-Gaussianity and demonstrates their application to the quantum Ising model under finite-time ramps, highlighting the intermediate regime of skewed distributions.
Findings
Finite-time ramps increase non-Gaussianity in work distribution.
Intermediate regimes show pronounced skewness between quench and adiabatic limits.
Non-Gaussianity metrics reveal detailed distribution characteristics.
Abstract
We study properties of the work distribution of a many-body system driven through a quantum phase transition in finite time. We focus on the non-Gaussianity of the distribution, which we characterize through two quantitative metrics: skewness and negentropy. In particular, we focus on the quantum Ising model and show that a finite duration of the ramp enhances the non-Gaussianity of the distribution for a finite size system. By examining the characteristics of the full distribution, we observe that there is a clear intermediate regime between the sudden quench and adiabatic limits, where the distribution becomes increasingly skewed.
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Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Protein Structure and Dynamics · Statistical Mechanics and Entropy
