On a random regular graph with intermediate disorder, an initially localized wave packet spreads subdiffusively, with width growing as t^beta where beta = 1 - W/W_AT, for a disorder range where earlier work expected diffusion.
Phenomenology of anomalous transport in disordered one-dimensional systems
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abstract
We study anomalous transport arising in disordered one-dimensional spin chains, specifically focusing on the subdiffusive transport typically found in a phase preceding the many-body localization transition. Different types of transport can be distinguished by the scaling of the average resistance with the system's length. We address the following question: what is the distribution of resistance over different disorder realizations, and how does it differ between transport types? In particular, an often evoked so-called Griffiths picture, that aims to explain slow transport as being due to rare regions of high disorder, would predict that the diverging resistivity is due to fat power-law tails in the resistance distribution. Studying many-particle systems with and without interactions we do not find any clear signs of fat tails. The data is compatible with distributions that decay faster than any power law required by the fat tails scenario. Among the distributions compatible with the data, a simple additivity argument suggests a Gaussian distribution for a fractional power of the resistance.
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cond-mat.dis-nn 1years
2019 1verdicts
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Sub-diffusion in the Anderson model on random regular graph
On a random regular graph with intermediate disorder, an initially localized wave packet spreads subdiffusively, with width growing as t^beta where beta = 1 - W/W_AT, for a disorder range where earlier work expected diffusion.