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Statistical and Nonlinear Physics

Complex systems and statistical physics, including chaos theory, complex networks, soft matter physics, biophysics, and emergent phenomena in many-body systems

8 papers

Papers

Bridging entanglement dynamics and chaos in semiclassical systems

This theoretical paper proposes a unifying framework linking quantum entanglement and classical chaos in many-particle systems. It finds that entanglement measures (entropy, Fisher information, square commutator) grow logarithmically/quadratically in regular systems but linearly/exponentially in chaotic ones, confirming previous conjectures. Numerical simulations of kicked top and Dicke models support these analytical predictions, though numerical precision limitations affect classical simulations in chaotic regimes over long times.

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Statistical and Nonlinear Physics Oct 11, 08:33 PM

Constructive interference at the edge of quantum ergodic dynamics

This research employed a 103-qubit superconducting quantum processor to explore quantum dynamics using out-of-time-order correlators (OTOCs). OTOCs showed a remarkable sensitivity to the underlying dynamics of the system, especially when time-reversal protocols were implemented. This sensitivity, combined with the high classical simulation complexity of some OTOC measurements, suggests a path towards demonstrating a practical quantum advantage for learning about quantum systems.

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Statistical and Nonlinear Physics Aug 22, 07:29 AM

Modeling Language Evolution Using a Spin Glass Approach

This paper presents a computational model suggesting that random interactions between syntactic parameters, combined with pre-existing grammatical constraints, may explain why languages both slowly change and diversify over time. The model, inspired by the physics of spin glasses, shows that under certain conditions, syntactic systems can become 'stuck' in metastable states, leading to both persistence and diversification of grammars.

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Statistical and Nonlinear Physics Aug 18, 09:53 AM

Kinetic turbulence drives MHD equilibrium change via 3D reconnection

This experimental study demonstrates how magnetic turbulence can drive the merging of magnetic flux ropes, leading to changes in overall magnetic structure, a phenomenon observed in solar flares. Researchers triggered turbulence by launching electron beams along magnetic field lines within two separate flux ropes in a lab setting. The resulting merger was confirmed using fast camera images and measurements of magnetic field, ion temperature, ion velocity, and soft X-rays, with additional support from 3D particle-in-cell simulations.

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Statistical and Nonlinear Physics Aug 12, 06:10 AM

Interpretation of generalized Langevin equations

This paper introduces a method to convert certain 'nonlinear-stochastic' Langevin equations into equivalent Itô stochastic differential equations, allowing for simulation and analysis. The method assumes finite variance and Gaussian noise in the original Langevin equation. The authors apply this technique to model the velocity of a particle experiencing drag in a turbulent fluid, demonstrating qualitatively different behavior compared to simpler models.

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Statistical and Nonlinear Physics Aug 09, 12:40 PM