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We extend the real-space renormalization group (RG) approach to the study of the energy level statistics at the integer quantum Hall (QH) transition. Previously it was demonstrated that the RG approach reproduces the critical distribution…

无序系统与神经网络 · 物理学 2009-11-07 Philipp Cain , Rudolf A. Roemer , Mikhail E. Raikh

We present a renormalization group analysis of the problem of Anderson localization on a Random Regular Graph (RRG) which generalizes the renormalization group of Abrahams, Anderson, Licciardello, and Ramakrishnan to infinite-dimensional…

无序系统与神经网络 · 物理学 2024-07-15 Carlo Vanoni , Boris L. Altshuler , Vladimir E. Kravtsov , Antonello Scardicchio

Dynamical and spatial correlations of eigenfunctions as well as energy level correlations in the Anderson model on random regular graphs (RRG) are studied. We consider the critical point of the Anderson transition and the delocalized phase.…

无序系统与神经网络 · 物理学 2019-01-10 K. S. Tikhonov , A. D. Mirlin

A numerical study of Anderson transition on random regular graphs (RRG) with diagonal disorder is performed. The problem can be described as a tight-binding model on a lattice with N sites that is locally a tree with constant connectivity.…

无序系统与神经网络 · 物理学 2016-12-28 K. S. Tikhonov , A. D. Mirlin , M. A. Skvortsov

We study the Anderson transition on a generic model of random graphs with a tunable branching parameter $1<K\le 2$, through large scale numerical simulations and finite-size scaling analysis. We find that a single transition separates a…

The random energy model (REM) provides a solvable mean-field description of the equilibrium spin glass transition. Its quantum sibling (the QREM), obtained by adding a transverse field to the REM, has similar properties and shows a spin…

统计力学 · 物理学 2016-01-27 C. L. Baldwin , C. R. Laumann , A. Pal , A. Scardicchio

We introduce a multi-scale diagonalization scheme to study the transition between the many-body localized and the ergodic phase in disordered quantum chains. The scheme assumes a sharp dichotomy between subsystems that behave as localized…

统计力学 · 物理学 2017-11-28 Thimothée Thiery , Markus Müller , Wojciech De Roeck

We present a scaling theory of the many-body localisation transition in terms of emergent, characteristic energyscales. The analysis is based on the decomposition of the eigenstates in the basis of trivially localised states, resolved in…

无序系统与神经网络 · 物理学 2025-06-03 Sthitadhi Roy

Anderson localization on random regular graphs (RRG) serves as a toy-model of many-body localization (MBL). We explore the transition for ergodicity to localization on RRG with large connectivity $m$. In the analytical part, we focus on the…

无序系统与神经网络 · 物理学 2023-10-12 Jan-Niklas Herre , Jonas F. Karcher , Konstantin S. Tikhonov , Alexander D. Mirlin

We develop the finite-size scaling (FSS) theory at quantum transitions, considering generic boundary conditions, such as open and periodic boundary conditions, and also the corrections to the leading FSS behaviors. Using…

统计力学 · 物理学 2014-03-26 Massimo Campostrini , Andrea Pelissetto , Ettore Vicari

We perform a thorough and complete analysis of the Anderson localization transition on several models of random graphs with regular and random connectivity. The unprecedented precision and abundance of our exact diagonalization data (both…

无序系统与神经网络 · 物理学 2023-07-26 Piotr Sierant , Maciej Lewenstein , Antonello Scardicchio

We introduce a simple, exactly solvable strong-randomness renormalization group (RG) model for the many-body localization (MBL) transition in one dimension. Our approach relies on a family of RG flows parametrized by the asymmetry between…

无序系统与神经网络 · 物理学 2019-02-05 Anna Goremykina , Romain Vasseur , Maksym Serbyn

We study the many-body localization aspects of single-particle mobility edges in fermionic systems. We investigate incommensurate lattices and random disorder Anderson models. Many-body localization and quantum nonergodic properties are…

统计力学 · 物理学 2016-06-07 Xiaopeng Li , J. H. Pixley , Dong-Ling Deng , Sriram Ganeshan , S. Das Sarma

We develop a real space renormalization group (RSRG) scheme by appropriately inserting the long range hopping $t\sim r^{-\alpha}$ with nearest neighbour interaction to study the entanglement entropy and maximum block size for many-body…

无序系统与神经网络 · 物理学 2020-05-21 Ranjan Modak , Tanay Nag

We describe a large disorder renormalization group (LDRG) method for the Anderson model of localization in one dimension which decimates eigenstates based on the size of their wavefunctions rather than their energy. We show that our LDRG…

无序系统与神经网络 · 物理学 2014-11-04 Sonika Johri , R. N. Bhatt

We show how to extract the scaling behavior of quantum walks using the renormalization group (RG). We introduce the method by efficiently reproducing well-known results on the one-dimensional lattice. As a nontrivial model, we apply this…

统计力学 · 物理学 2014-09-30 S. Boettcher , S. Falkner , R. Portugal

Many-body-localization (MBL) transitions are studied in a family of single-spin-flip spin-$\frac12$ models, including the one-dimensional (1D) chain with nearest-neighbor interactions, the quantum dot (QD) model with all-to-all pair…

无序系统与神经网络 · 物理学 2025-08-19 Thibault Scoquart , Igor V. Gornyi , Alexander D. Mirlin

We formulate a theory of the many-body localization transition based on a novel real space renormalization group (RG) approach. The results of this theory are corroborated and intuitively explained with a phenomenological effective…

无序系统与神经网络 · 物理学 2015-09-21 Ronen Vosk , David A. Huse , Ehud Altman

We propose a new picture of the renormalization group (RG) approach in the presence of disorder, which considers the RG trajectories of each random sample (realization) separately instead of the usual renormalization of the averaged free…

统计力学 · 物理学 2009-10-31 Karim Bernardet , Ferenc Pazmandi , G. G. Batrouni

Subradiance, a hallmark cooperative phenomenon in waveguide QED, is characterized by a universal power-law scaling of decay rates with system size and underpins many applications in quantum information storage. Here, we demonstrate that…

量子物理 · 物理学 2026-04-07 Guoqing Tian , Xin-You Lü
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