Identifying Correlation Clusters in Many-Body Localized Systems
arXiv:2108.03251 · doi:10.1103/PhysRevB.105.064202
Abstract
We introduce techniques for analysing the structure of quantum states of many-body localized (MBL) spin chains by identifying correlation clusters from pairwise correlations. These techniques proceed by interpreting pairwise correlations in the state as a weighted graph, which we analyse using an established graph theoretic clustering algorithm. We validate our approach by studying the eigenstates of a disordered XXZ spin chain across the MBL to ergodic transition, as well as the non-equilibrium dyanmics in the MBL phase following a global quantum quench. We successfully reproduce theoretical predictions about the MBL transition obtained from renormalization group schemes. Furthermore, we identify a clear signature of many-body dynamics analogous to the logarithmic growth of entanglement. The techniques that we introduce are computationally inexpensive and in combination with matrix product state methods allow for the study of large scale localized systems. Moreover, the correlation functions we use are directly accessible in a range of experimental settings including cold atoms.
10 pages, 9 figures
References in corpus (12)
- Localization of interacting fermions at high temperature
- Single-Atom Resolved Fluorescence Imaging of an Atomic Mott Insulator
- Many-body localization edge in the random-field Heisenberg chain
- Many body localization in Heisenberg XXZ magnet in a random field
- Area laws in quantum systems: mutual information and correlations
- Integrals of motion in the Many-Body localized phase
- Ergodicity breaking in a model showing many-body localization
- Entanglement spreading in a many-body localized system
- Quantum Mutual Information as a Probe for Many-Body Localization
- Renormalization-group study of the many-body localization transition in one dimension
- Is there slow particle transport in the MBL phase?
- Detecting ergodic bubbles at the crossover to many-body localization using neural networks
Cited by in corpus (6)
- Many-Body Localization in the Age of Classical Computing
- Stability of many-body localization in Floquet systems
- Universality in Anderson localization on random graphs with varying connectivity
- The internal clock of many-body delocalization
- Catching thermal avalanches in the disordered XXZ model
- Statistics of systemwide correlations in the random-field XXZ chain: Importance of rare events in the many-body localized phase