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The theoretical description of transport in a wide class of novel materials is based upon quantum percolation and related random resistor network (RRN) models. We examine the localization properties of electronic states of diverse…

强关联电子 · 物理学 2009-11-13 Gerald Schubert , Holger Fehske

We consider the Chalker-Coddington network model for the Integer Quantum Hall Effect, and examine the possibility of solving it exactly. In the supersymmetric path integral framework, we introduce a truncation procedure, leading to a series…

无序系统与神经网络 · 物理学 2013-05-29 Yacine Ikhlef , Paul Fendley , John Cardy

Percolation and synchronization are two phase transitions that have been extensively studied since already long ago. A classic result is that, in the vast majority of cases, these transitions are of the second-order type, i.e. continuous…

适应与自组织系统 · 物理学 2017-01-04 S. Boccaletti , J. A. Almendral , S. Guan , I. Leyva , Z. Liu , I. Sendiña-Nadal , Z. Wang , Y. Zou

We solve the problem of the spin quantum Hall transition on random networks using a mapping to classical percolation that focuses on the boundary of percolating clusters. Using tools of two-dimensional quantum gravity, we compute critical…

介观与纳米尺度物理 · 物理学 2026-02-02 Esteban Macías , Ilya Gruzberg , Eldad Bettelheim

Random graphs have played an instrumental role in modelling real-world networks arising from the internet topology, social networks, or even protein-interaction networks within cells. Percolation, on the other hand, has been the fundamental…

概率论 · 数学 2018-09-12 Souvik Dhara

Networks constitute efficient tools for assessing universal features of complex systems. In physical contexts, classical as well as quantum, networks are used to describe a wide range of phenomena, such as phase transitions, intricate…

量子物理 · 物理学 2016-01-22 Jaroslav Novotný , Gernot Alber , Igor Jex

The supersymmetric reformulation of physical observables in the Chalker-Coddington model (CC) for the plateau transition in the integer quantum Hall effect leads to a reformulation of its critical properties in terms of a 2D non-compact…

统计力学 · 物理学 2019-03-27 Romain Couvreur , Eric Vernier , Jesper Lykke Jacobsen , Hubert Saleur

We report on parallel observations in two seemingly unrelated areas of dynamical network research. The one is the so-called small world phenomenon and/or the observation of scale freeness in certain types of large (empirical) networks and…

广义相对论与量子宇宙学 · 物理学 2007-05-23 Manfred Requardt

During the past two decades, percolation has long served as a basic paradigm for network resilience, community formation and so on in complex systems. While the percolation transition is known as one of the most robust continuous…

物理与社会 · 物理学 2018-08-03 Deokjae Lee , Y. S. Cho , K. -I. Goh , D. -S. Lee , B. Kahng

We introduce models of generic rigidity percolation in two dimensions on hierarchical networks, and solve them exactly by means of a renormalization transformation. We then study how the possibility for the network to self organize in order…

统计力学 · 物理学 2015-05-13 J. Barré

We study the effects of mobility on two crucial characteristics in multi-scale dynamic networks: percolation and connection times. Our analysis provides insights into the question, to what extent long-time averages are well-approximated by…

概率论 · 数学 2021-03-05 Christian Hirsch , Benedikt Jahnel , Elie Cali

Percolation is a model for random damage to a network. It is one of the simplest models that displays a phase transition: when the network is severely damaged, it falls apart in many small connected components, while if the damage is light,…

概率论 · 数学 2025-12-18 Remco van der Hofstad

We consider a recently proposed network model of the integer quantum Hall (IQH) effect in a weak magnetic field. Using a supersymmetry approach, we reformulate the network model in terms of a superspin ladder. A subsequent analysis of the…

无序系统与神经网络 · 物理学 2014-06-09 S. Bhardwaj , V. V. Mkhitaryan , I. A. Gruzberg

We investigate numerically the localization-delocalization transition in quantum Hall systems with long-range disorder potential with respect to multifractal properties. Wavefunctions at the transition energy are obtained within the…

凝聚态物理 · 物理学 2009-10-28 Rochus Klesse , Marcus Metzler

Quantum networks provide access to exchange of quantum information. The primary task of quantum networks is to distribute entanglement between remote nodes. Although quantum repeater protocol enables long distance entanglement distribution,…

物理与社会 · 物理学 2015-03-19 Zong-Wen Wei , Bing-Hong Wang , Xiao-Pu Han

Recent high-precision results for the critical exponent of the localization length at the integer quantum Hall (IQH) transition differ considerably between experimental ($\nu_\text{exp} \approx 2.38$) and numerical ($\nu_\text{CC} \approx…

无序系统与神经网络 · 物理学 2017-03-15 Ilya Gruzberg , Andreas Kluemper , Win Nuding , Ara Sedrakyan

Percolation processes on random networks have been the subject of intense research activity over the last decades: the overall phenomenology of standard percolation on uncorrelated and unclustered topologies is well known. Still some…

统计力学 · 物理学 2024-12-06 Lorenzo Cirigliano , Gábor Timár , Claudio Castellano

Quantum networks are composed of nodes which can send and receive quantum states by exchanging photons. Their goal is to facilitate quantum communication between any nodes, something which can be used to send secret messages in a secure…

量子物理 · 物理学 2015-06-26 Antonio Acin , J. Ignacio Cirac , Maciej Lewenstein

Percolation on two-dimensional small-world networks has been proposed as a model for the spread of plant diseases. In this paper we give an analytic solution of this model using a combination of generating function methods and high-order…

统计力学 · 物理学 2009-11-07 M. E. J. Newman , I. Jensen , R. M. Ziff

Percolation theory has been widely used to study phase transitions in complex networked systems. It has also successfully explained several macroscopic phenomena across different fields. Yet, the existent theoretical framework for…

物理与社会 · 物理学 2020-12-01 Jiarong Xie , Xiangrong Wang , Ling Feng , Jin-Hua Zhao , Yamir Moreno , Yanqing Hu