Related Experiment Video
Updated: May 21, 2025

Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy
Published on: June 15, 2022
Fluctuations and persistence in quantum diffusion on regular lattices
Cheng Ma1, Omar Malik1, G Korniss1
1Rensselaer Polytechnic Institute, Rensselaer Polytechnic Institute, Department of Physics, Applied Physics and Astronomy, Troy, New York 12180, USA and Network Science and Technology Center, Troy, New York 12180, USA.
Abstract:
We investigate quantum persistence by analyzing amplitude and phase fluctuations of the wave function governed by the time-dependent free-particle Schrödinger equation. The quantum system is initialized with local random uncorrelated Gaussian amplitude and phase fluctuations. In analogy with classical diffusion, the persistence probability is defined as the probability that the local (amplitude or phase) fluctuations have not changed sign up to time t. Our results show that the persistence probability in quantum diffusion exhibits exponential-like tails. More specifically, in d=1 the persistence probability decays in a stretched exponential fashion, while in d=2 and d=3 as an exponential. We also provide some insights by analyzing the two-point spatial and temporal correlation functions in the limit of small fluctuations. In particular, in the long-time asymptotic limit, the temporal correlation functions for both local amplitude and phase fluctuations become time-homogeneous. Hence, the zero-crossing events correspond to those governed by a stationary Gaussian process, with an autocorrelation-function power-law tail decaying sufficiently fast to imply an exponential-like tail of the persistence probabilities.
Related Concept Videos
The de Broglie Wavelength
Trends in Lattice Energy: Ion Size and Charge
First Law: Particles in Two-dimensional Equilibrium
Newton's first law tells us about...
First Law: Particles in One-dimensional Equilibrium
Entropy Change in Reversible Processes
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion

