Mechanisms for the emergence of Gaussian correlations

TL;DR

This paper investigates two mechanisms—spatial scrambling and canonical transmutation—that lead to the emergence of Gaussian correlations in isolated quantum systems after a quench, with experimental evidence favoring canonical transmutation.

Contribution

It identifies and distinguishes two mechanisms for Gaussification in quantum systems, providing experimental analysis and insights into their signatures and underlying processes.

Findings

Canonical transmutation is likely responsible for Gaussification in the experiment.

Both mechanisms involve pre-existing Gaussian correlations at initial times.

Experimental data shows clustering and dynamics consistent with these mechanisms.

Abstract

We comprehensively investigate two distinct mechanisms leading to memory loss of non-Gaussian correlations after switching off the interactions in an isolated quantum system undergoing out-of-equilibrium dynamics. The first mechanism is based on spatial scrambling and results in the emergence of locally Gaussian steady states in large systems evolving over long times. The second mechanism, characterized as `canonical transmutation', is based on the mixing of a pair of canonically conjugate fields, one of which initially exhibits non-Gaussian fluctuations while the other is Gaussian and dominates the dynamics, resulting in the emergence of relative Gaussianity even at finite system sizes and times. We evaluate signatures of the occurrence of the two candidate mechanisms in a recent experiment that has observed Gaussification in an atom-chip controlled ultracold gas and elucidate evidence that it is canonical transmutation rather than spatial scrambling that is responsible for Gaussification in the experiment. Both mechanisms are shown to share the common feature that the Gaussian correlations revealed dynamically by the quench are already present though practically inaccessible at the initial time. On the way, we present novel observations based on the experimental data, demonstrating clustering of equilibrium correlations, analyzing the dynamics of full counting statistics, and utilizing tomographic reconstructions of quantum field states. Our work aims at providing an accessible presentation of the potential of atom-chip experiments to explore fundamental aspects of quantum field theories in quantum simulations.