Finding self-similar behavior in quantum many-body dynamics via persistent homology

Abstract

Inspired by topological data analysis techniques, we introduce persistent homology observables and apply them in a geometric analysis of the dynamics of quantum field theories. As a prototype application, we consider data from a classical-statistical simulation of a two-dimensional Bose gas far from equilibrium. We discover a continuous spectrum of dynamical scaling exponents, which provides a refined classification of nonequilibrium self-similar phenomena. A possible explanation of the underlying processes is provided in terms of mixing strong wave turbulence and anomalous vortex kinetics components in point clouds. We find that the persistent homology scaling exponents are inherently linked to the geometry of the system, as the derivation of a packing relation reveals. The approach opens new ways of analyzing quantum many-body dynamics in terms of robust topological structures beyond standard field theoretic techniques.

21 pages, 18 figures

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• Applications of Persistent Homology in Nuclear Collisions
• Network science Ising states of matter
• Probing universal dynamics with topological data analysis in a gluonic plasma
• Detecting defect dynamics in relativistic field theories far from equilibrium using topological data analysis
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• Double sine-Gordon class of universal coarsening dynamics in a spin-1 Bose gas
• Kelvin waves in nonequilibrium universal dynamics of relativistic scalar field theories
• Prethermalization of light and matter in cavity-coupled Rydberg arrays
• Anomalous non-thermal fixed point in a quasi-two-dimensional dipolar Bose gas
• Decaying superfluid turbulence near an anomalous non-thermal fixed point