样式： 排序： IF:  GO 导出 标记为已读

Spincharge separation and quantum spin Hall effect of $β$bismuthene arXiv.condmat.disnn Pub Date : 20220927
Alexander C. Tyner, Pallab GoswamiField theory arguments suggest the possibility of $\mathbb{Z}$classification of quantum spin Hall effect with magnetic flux tubes, that cause separation of spin and charge degrees of freedom, and pumping of spin or Kramers pair. However, the \emph{proof of principle} demonstration of spincharge separation is yet to be accomplished for realistic, \emph{ab initio} band structures of spinorbitcoupled

Taskdependent fractal patterns of information processing in working memory arXiv.condmat.disnn Pub Date : 20220927
Jeremi K. Ochab, Marcin Wątorek, Anna Ceglarek, Magdalena Fąfrowicz, Koryna Lewandowska, Tadeusz Marek, Barbara SikoraWachowicz, Paweł OświęcimkaWe applied detrended fluctuation analysis, power spectral density, and eigenanalysis of detrended crosscorrelations to investigate fMRI data representing a diurnal variation of working memory in four visual tasks: two verbal and two nonverbal. We show that the degree of fractal scaling is regionally dependent on engagement in cognitive tasks. A particularly apparent difference was found between memorisation

Ergodicity in glass relaxation arXiv.condmat.disnn Pub Date : 20220926
Li WanWe derive an equation for the glass relaxation. In the derivation, the ZwanzigMori projection method is not applied explicitly, which makes our equation different from the mode coupling theory. Due to the nonlinearity, it is difficult to solve the equation to get the full behaviors of the glass relaxation. But we can simplify the equation when time approaches infinity and obtain the static result

Dynamical manybody delocalization transition of a Tonks gas in a quasiperiodic driving potential arXiv.condmat.disnn Pub Date : 20220926
Vincent Vuatelet, Adam RançonThe quantum kicked rotor is wellknown for displaying dynamical (Anderson) localization. It has recently been shown that a periodically kicked Tonks gas will always localize and converge to a finite energy steadystate. This steadystate has been described as being effectively thermal with an effective temperature that depends on the parameters of the kick. Here we study a generalization to a quasiperiodic

Determination of Chain Strength induced by Embedding in DWave Quantum Annealer arXiv.condmat.disnn Pub Date : 20220925
Hunpyo LeeThe Dwave quantum annealer requires embedding with ferromagnetic (FM) chains connected by several qubits, because it cannot capture exact longrange coupling between qubits, and retains the specific architecture that depends on the hardware type. Therefore, determination of the chain strength $J_c$ required to sustain FM order of qubits in the chains is crucial for the accuracy of quantum annealing

NonHermitian invisibility in tightbinding lattices arXiv.condmat.disnn Pub Date : 20220924
Stefano Longhi, Ermanno PinottiA flexible control of wave scattering in complex media is of relevance in different areas of classical and quantum physics. Recently, a great interest has been devoted to scattering engineering in nonHermitian systems, with the prediction and demonstration of new classes of nonHermitian potentials with unique scattering properties, such as transparent and invisibile potentials or oneway reflectionless

Hilbert space fragmentation and interactioninduced localization in the extended FermiHubbard model arXiv.condmat.disnn Pub Date : 20220923
Philipp Frey, Lucas Hackl, Stephan RachelWe study Hilbert space fragmentation in the extended FermiHubbard model with nearest and nextnearest neighbor interactions. Using a generalized spin/mover picture and saddle point methods, we derive lower bounds for the scaling of the number of frozen states and for the size of the largest block preserved under the dynamics. We find fragmentation for strong nearest and nextnearest neighbor repulsions

Replica approach to the generalized RosenzweigPorter model arXiv.condmat.disnn Pub Date : 20220923
Davide Venturelli, Leticia F. Cugliandolo, Grégory Schehr, Marco TarziaThe generalized RosenzweigPorter model arguably constitutes the simplest random matrix ensemble displaying a nonergodic delocalized phase, which we characterize here by using replica methods. We first derive analytical expressions for the average spectral density in the limit in which the size $N$ of the matrix is large but finite. We then focus on the number of eigenvalues in a finite interval

The cavity method: from exact solutions to algorithms arXiv.condmat.disnn Pub Date : 20220923
Alfredo Braunstein, Guilhem SemerjianThe goal of this chapter is to review the main ideas that underlie the cavity method for disordered models defined on random graphs, as well as present some of its outcomes, focusing on the random constraint satisfaction problems for which it provided both a better understanding of the phase transitions they undergo, and suggestions for the development of algorithms to solve them.

Asymmetric Roughness of Elastic Interfaces at the Depinning Threshold arXiv.condmat.disnn Pub Date : 20220923
Esko Toivonen, Matti Molkkari, Esa Räsänen, Lasse LaursonRoughness of driven elastic interfaces in random media is typically understood to be characterized by a single roughness exponent $\zeta$. We show that at the depinning threshold, due to symmetry breaking caused by the direction of the driving force, elastic interfaces with local, longrange and meanfield elasticity exhibit asymmetric roughness. It is manifested as a skewed distribution of the local

Navigating the noisedepth tradeoff in adiabatic quantum circuits arXiv.condmat.disnn Pub Date : 20220922
Daniel Azses, Maxime Dupont, Bram Evert, Matthew J. Reagor, Emanuele G. Dalla TorreAdiabatic quantum algorithms solve computational problems by slowly evolving a trivial state to the desired solution. On an ideal quantum computer, the solution quality improves monotonically with increasing circuit depth. By contrast, increasing the depth in current noisy computers introduces more noise and eventually deteriorates any computational advantage. What is the optimal circuit depth that

The Kauzmann Transition to an Ideal Glass Phase arXiv.condmat.disnn Pub Date : 20220922
Chiara Cammarota, Misaki Ozawa, Gilles TarjusThe idea that a thermodynamic glass transition of some sort underlies the observed glass formation has been highly debated since Kauzmann first stressed the hypothetical entropy crisis that could take place if one were able to equilibrate supercooled liquids below the experimental glass transition temperature $T_g$. This a priori unreachable transition at some $T_K

Biskyrmionbased artificial neuron with refractory period arXiv.condmat.disnn Pub Date : 20220922
Ismael Ribeiro de Assis, Ingrid Mertig, Börge GöbelMagnetic skyrmions are nanoscale magnetic whirls that are highly stable and can be moved by currents which has led to the prediction of a skyrmionbased artificial neuron device with leakintegratefire functionality. However, so far, these devices lack a refractory process, estimated to be crucial for neuronal dynamics. Here we demonstrate that a biskyrmionbased artificial neuron overcomes this insufficiency

Dynamic Gardner crossover in a simple structural glass arXiv.condmat.disnn Pub Date : 20220922
Qinyi Liao, Ludovic Berthier, HaiJun Zhou, Ning XuThe criticality of the jamming transition responsible for amorphous solidification has been theoretically linked to the marginal stability of a thermodynamic Gardner phase. While the critical exponents of jamming appear independent of the preparation history, the pertinence of Gardner physics far from equilibrium is an open question. To fill this gap, we numerically study the nonequilibrium dynamics

Theory of the Loschmidt echo and dynamical quantum phase transitions in disordered Fermi systems arXiv.condmat.disnn Pub Date : 20220922
Tuomas I. Vanhala, Teemu OjanenIn this work we develop the theory of the Loschmidt echo and dynamical phase transitions in noninteracting strongly disordered Fermi systems after a quench. In finite systems the Loschmidt echo displays zeros in the complex time plane that depend on the random potential realization. Remarkably, the zeros coalesce to form a 2D manifold in the thermodynamic limit, atypical for 1D systems, crossing the

Training neural network ensembles via trajectory sampling arXiv.condmat.disnn Pub Date : 20220922
Jamie F. Mair, Dominic C. Rose, Juan P. GarrahanIn machine learning, there is renewed interest in neural network ensembles (NNEs), whereby predictions are obtained as an aggregate from a diverse set of smaller models, rather than from a single larger model. Here, we show how to define and train a NNE using techniques from the study of rare trajectories in stochastic systems. We define an NNE in terms of the trajectory of the model parameters under

Barkhausen noise from formation of 360$^{\circ}$ domain walls in disordered permalloy thin films arXiv.condmat.disnn Pub Date : 20220922
Sami Kaappa, Lasse LaursonBarkhausen noise in disordered ferromagnets is typically understood to originate primarily from jerky fielddriven motion of domain walls. We study the magnetization reversal process in disordered permalloy thin films using micromagnetic simulations, and find that the magnetization reversal process consists of the gradual formation of immobile 360$^{\circ}$ domain walls via a sequence of localized

Replica method for eigenvalues of real Wishart product matrices arXiv.condmat.disnn Pub Date : 20220921
Jacob A. ZavatoneVeth, Cengiz PehlevanWe show how the replica method can be used to compute the asymptotic eigenvalue spectrum of a real Wishart product matrix. This provides a compact, elementary derivation of a polynomial condition on the Stieltjes transform first proved by M\"uller [IEEE Trans. Inf. Theory. 48, 20862091 (2002)]. We additionally derive polynomial conditions on the minimum and maximum eigenvalues, which match the results

Observational entropic study of Anderson localization arXiv.condmat.disnn Pub Date : 20220921
Ranjan Modak, S. AravindaThe notion of the thermodynamic entropy in the context of quantum mechanics is a controversial topic. While there were proposals to refer von Neumann entropy as the thermodynamic entropy, but it has it's own limitations. In the past few years, the observational entropy has been developed as a generalization of Boltzmann entropy to quantum mechanics, and it is presently one of the most promising candidates

The structure of networks that evolve under a combination of growth, via node addition and random attachment, and contraction, via random node deletion arXiv.condmat.disnn Pub Date : 20220920
Barak Budnick, Ofer Biham, Eytan KatzavWe present analytical results for the emerging structure of networks that evolve via a combination of growth (by node addition and random attachment) and contraction (by random node deletion). To this end we consider a network model in which at each time step a node addition and random attachment step takes place with probability $P_{add}$ and a random node deletion step takes place with probability

Stochastic equations and dynamics beyond meanfield theory arXiv.condmat.disnn Pub Date : 20220920
Tommaso RizzoThe dynamical transition occurring in spinglass models with one step of ReplicaSymmetryBreaking is a meanfield artifact that disappears in finite systems and/or in finite dimensions. The critical fluctuations that smooth the transition are described in the $\beta$ regime by dynamical stochastic equations. The quantitative parameters of the dynamical stochastic equations have been computed analytically

Microscopic observation of twolevel systems in a metallic glass model arXiv.condmat.disnn Pub Date : 20220920
Felix C. Mocanu, Ludovic Berthier, Simone Ciarella, Dmytro Khomenko, David R. Reichman, Camille Scalliet, Francesco ZamponiThe lowtemperature quasiuniversal behavior of amorphous solids has been attributed to the existence of spatiallylocalized tunneling defects found in the lowenergy regions of the potential energy landscape. Computational models of glasses can be studied to elucidate the microscopic nature of these defects. Recent simulation work has demonstrated the means of generating stable glassy configurations

Disentangling structural and kinetic components of the αrelaxation in supercooled metallic liquids arXiv.condmat.disnn Pub Date : 20220920
Nico Neuber, Oliver Gross, Maximilian Frey, Benedikt Bochtler, Alexander Kuball, Simon Hechler, Fan Yang, Eloi Pineda, Fabian Westermeier, Michael Sprung, Isabella Gallino, Ralf Busch, Beatrice RutaThe particle motion associated to the {\alpha}relaxation in supercooled liquids is still challenging scientists due to its difficulty to be probed experimentally. By combining synchrotron techniques, we found the existence of microscopic structuredynamics relationships in Pt42.5Cu27Ni9.5P21 and Pd42.5Cu27Ni9.5P21 liquids which allows us to disentangle structural and kinetic contributions to the {\alpha}process

Exploiting disorder to probe spin and energy hydrodynamics arXiv.condmat.disnn Pub Date : 20220919
Pai Peng, Bingtian Ye, Norman Y. Yao, Paola CappellaroAn outstanding challenge in largescale quantum platforms is to simultaneously achieve strong interactions, giving rise to the most interesting behaviors, and local addressing that can probe them. In the context of correlated phases, local addressing enables one to directly probe the nature of the system's order. Meanwhile, for outofequilibrium dynamics, such addressing allows the study of quantum

Controlling local thermalization dynamics in a Floquetengineered dipolar ensemble arXiv.condmat.disnn Pub Date : 20220919
Leigh S. Martin, Hengyun Zhou, Nathaniel T. Leitao, Nishad Maskara, Oksana Makarova, Haoyang Gao, QianZe Zhu, Mincheol Park, Matthew Tyler, Hongkun Park, Soonwon Choi, Mikhail D. LukinUnderstanding the microscopic mechanisms of thermalization in closed quantum systems is among the key challenges in modern quantum manybody physics. We demonstrate a method to probe local thermalization in a largescale manybody system by exploiting its inherent disorder, and use this to uncover the thermalization mechanisms in a threedimensional, dipolarinteracting spin system with tunable interactions

Elasticity, Facilitation and Dynamic Heterogeneity in GlassForming liquids arXiv.condmat.disnn Pub Date : 20220919
Misaki Ozawa, Giulio BiroliWe study the role of elasticityinduced facilitation on the dynamics of glassforming liquids by a coarsegrained twodimensional model in which local relaxation events, taking place by thermal activation, can trigger new relaxations by longrange elasticallymediated interactions. By simulations and an analytical theory, we show that the model reproduces the main salient facts associated with dynamic

Predicting the Mpemba Effect Using Machine Learning arXiv.condmat.disnn Pub Date : 20220916
Felipe Amorim, Joey Wisely, Nathan Buckley, Christiana DiNardo, Daniel SadasivanThe Mpemba Effect  when a system that is further from equilibrium relaxes faster than a system that is closer  can be studied with Markovian dynamics in a nonequilibrium thermodynamics framework. The Markovian Mpemba Effect can be observed in a variety of systems including the Ising model. We demonstrate that the Markovian Mpemba Effect can be predicted in the Ising model with several machine

Plastic ridge formation in a compressed thin amorphous film arXiv.condmat.disnn Pub Date : 20220919
Gianfranco Cordella, Francesco Puosi, Antonio Tripodo, Dino Leporini, Anaël LemaîtreWe demonstrate that surface morphogenesis in compressed thin films may result from spatially correlated plastic activity. A soft glassy film strongly adhering to a smooth and rigid substrate and subjected to uniaxial compression, indeed, does not undergo any global elastic patternforming instability, but responds plastically via localized burst events that selforganize, leading to the emergence of

The highd landscapes paradigm: spinglasses, and beyond arXiv.condmat.disnn Pub Date : 20220916
Valentina Ros, Yan V. FyodorovWe review recent developments on the characterization of random landscapes in highdimension. We focus in particular on the problem of characterizing the landscape topology and geometry, discussing techniques to count and classify its stationary points and stressing connections with the statistical physics of disordered systems and with random matrix theory.

Delocalization and reentrant localization of flatband states induced by an imaginary vector potential in disordered lattice models with flat bands arXiv.condmat.disnn Pub Date : 20220915
Sangbum Kim, Kihong KimWe present a numerical study of Anderson localization in disordered nonHermitian lattice models with flat bands. Specifically we consider onedimensional stub and twodimensional kagome lattices that have a random scalar potential and a uniform imaginary vector potential and calculate the spectra of the complex energy, the participation ratio, and the winding number as a function of the strength of

Superuniversality of Anderson localization transitions in disordered nonHermitian systems with exceptional points arXiv.condmat.disnn Pub Date : 20220915
C. Wang, X. R. WangThe critical exponents of continuous phase transitions of a Hermitian system depend on and only on its dimensionality and symmetries. This is the celebrated notion of the universality of continuous phase transitions. Here we report the superuniversality notion of Anderson localization transitions in nonHermitian twodimensional (2D) systems with exceptional points in which the critical exponents do

Complex hypergraphs arXiv.condmat.disnn Pub Date : 20220915
Alexei VazquezProviding an abstract representation of natural and human complex structures is a challenging problem. Accounting for the system heterogenous components while allowing for analytical tractability is a difficult balance. Here I introduce complex hypergraphs (chygraphs), bringing together concepts from hypergraphs, multilayer networks and simplicial complexes. To illustrate the applicability of this

Sketch of a novel approach to a neural model arXiv.condmat.disnn Pub Date : 20220914
Gabriele SchelerIn this paper, we lay out a novel model of neuroplasticity in the form of a horizontalvertical integration model of neural processing. We believe a new approach to neural modeling will benefit the 3rd wave of AI. The horizontal plane consists of an adaptive network of neurons connected by transmission links which generates spatiotemporal spike patterns. This fits with standard computational neuroscience

Analytic solution of the resolvent equations for heterogeneous random graphs: spectral and localization properties arXiv.condmat.disnn Pub Date : 20220914
Jeferson D. Silva, Fernando L. MetzThe spectral and localization properties of heterogeneous random graphs are determined by the resolvent distributional equations, which have so far resisted an analytic treatment. We solve analytically the resolvent equations of random graphs with an arbitrary degree distribution in the highconnectivity limit, from which we perform a thorough analysis of the impact of degree fluctuations on the spectral

Impurity effects on Dirac modes in graphene armchair nanoribbons arXiv.condmat.disnn Pub Date : 20220914
Yuriy G. Pogorelov, Vadim M. LoktevWe consider finite ribbons of graphene with armchair orientation of their edges to study in detail impurity effects on specific Diraclike modes. In the framework of Anderson hybrid model of impurity perturbation, a possibility for Mott localization and for opening of a mobility gap under local impurity perturbations is found and analyzed in function of this model parameters: the impurity energy level

Critical and Topological Phases of Dimerized Kitaev Chain in Presence of Quasiperiodic Potential arXiv.condmat.disnn Pub Date : 20220913
Shilpi Roy, Sk Noor Nabi, Saurabh BasuWe investigate localization and topological properties of a dimerized Kitaev chain with pwave superconducting correlations and a quasiperiodically modulated chemical potential. With regard to the localization studies, we demonstrate the existence of distinct phases, such as, the extended phase, the critical (intermediate) phase, and the localized phase that arise due to the competition between the

Derivation of Euler equations from quantum and classical microscopic dynamics arXiv.condmat.disnn Pub Date : 20220914
Amirali Hannani, François HuveneersWe derive Euler equations from a Hamiltonian microscopic dynamics. The microscopic system is a onedimensional disordered harmonic chain, and the dynamics is either quantum or classical. This chain is an Anderson insulator with a symmetry protected mode: Thermal fluctuations are frozen while the low modes ensure the transport of elongation, momentum and mechanical energy, that evolve according to Euler

Tackling the subsampling problem to infer collective properties from limited data arXiv.condmat.disnn Pub Date : 20220912
Anna Levina, Viola Priesemann, ohannes ZierenbergComplex systems are fascinating because their rich macroscopic properties emerge from the interaction of many simple parts. Understanding the building principles of these emergent phenomena in nature requires assessing natural complex systems experimentally. However, despite the development of largescale dataacquisition techniques, experimental observations are often limited to a tiny fraction of

Collective density fluctuations of strange metals with critical Fermi surfaces arXiv.condmat.disnn Pub Date : 20220912
Xuepeng Wang, Debanjan ChowdhuryRecent spectroscopic measurements in a number of strongly correlated metals that exhibit nonFermi liquid like properties have observed evidence of anomalous frequency and momentumdependent chargedensity fluctuations. Specifically, in the strange metallic regime of the cuprate superconductors, there is a featureless particlehole continuum exhibiting unusual powerlaws, and experiments suggest that

Statistical mechanics of deep learning beyond the infinitewidth limit arXiv.condmat.disnn Pub Date : 20220911
S. Ariosto, R. Pacelli, M. Pastore, F. Ginelli, M. Gherardi, P. RotondoModern deep neural networks represent a formidable challenge for theorists: even simple one hidden layer fullyconnected architectures are in general not analytically tractable with statistical physics techniques. This fact constitutes a barrier against a comprehensive theoretical understanding of deep learning. Huge simplifications arise in the socalled infinitewidth limit, where the size of the

Hard Optimization Problems have Soft Edges arXiv.condmat.disnn Pub Date : 20220911
Raffaele Marino, Scott KirkpatrickFinding a Maximum Clique is a classic property test from graph theory; find any one of the largest complete subgraphs in an Erd{\"o}sR{\'e}nyi $G(N,p)$ random graph. It is the simplest of many such problems in which algorithms requiring only a small power of $N$ steps cannot reach solutions which probabilistic arguments show must exist, exposing an inherently "hard" phase within the solution space

An Ising model for the thermal and dynamic properties of supercooled liquids and the glass transition arXiv.condmat.disnn Pub Date : 20220912
Ralph V. ChamberlinWe describe the behavior of an Ising model with orthogonal dynamics, where changes in energy and changes in alignment never occur during the same Monte Carlo (MC) step. This orthogonal Ising model (OIM) allows conservation of energy and conservation of momentum to proceed independently, on their own preferred time scales. MC simulations of the OIM mimic more than twenty distinctive characteristics

Thermodynamics, formation dynamics and structural correlations in the bulk amorphous phase of the phasefield crystal model arXiv.condmat.disnn Pub Date : 20220912
Shaho Abdalla, Andrew J. Archer, László Gránásy, Gyula I. TóthWe investigate bulk thermodynamic and microscopic structural properties of amorphous solids in the framework of the phasefield crystal (PFC) model. These are metastable states with a nonuniform density distribution having no longrange order. From extensive numerical simulations we determine the distribution of free energy density values in varying size amorphous systems and also the pointtoset

Neuralnetwork quantum states for a twoleg BoseHubbard ladder under magnetic flux arXiv.condmat.disnn Pub Date : 20220912
K. Çeven, M. Ö. Oktel, A. KeleşQuantum gas systems are ideal analog quantum simulation platforms for tackling some of the most challenging problems in strongly correlated quantum matter. However, they also expose the urgent need for new theoretical frameworks. Simple models in one dimension, well studied with conventional methods, have received considerable recent attention as test cases for new approaches. Ladder models provide

Power spectrum of the circular unitary ensemble arXiv.condmat.disnn Pub Date : 20220910
Roman Riser, Eugene KanzieperWe study the power spectrum of eigenangles of random matrices drawn from the circular unitary ensemble ${\rm CUE}(N)$ and show that it can be evaluated in terms of either a Fredholm determinant, or a Toeplitz determinant, or a sixth Painlev\'e function. In the limit of infinitedimensional matrices, $N\rightarrow\infty$, we derive a ${\it\, concise\,}$ parameterfree formula for the power spectrum

Mutual information for the sparse stochastic block model arXiv.condmat.disnn Pub Date : 20220909
Tomas Dominguez, JeanChristophe MourratWe consider the problem of recovering the community structure in the stochastic block model with two communities. We aim to describe the mutual information between the observed network and the actual community structure in the sparse regime, where the total number of nodes diverges while the average degree of a given node remains bounded. Our main contributions are a conjecture for the limit of this

Critical properties of the Anderson transition in random graphs: twoparameter scaling theory, KosterlitzThouless type flow and manybody localization arXiv.condmat.disnn Pub Date : 20220909
Ignacio GarcíaMata, John Martin, Olivier Giraud, Bertrand Georgeot, Rémy Dubertrand, Gabriel LemariéThe Anderson transition in random graphs has raised great interest, partly because of its analogy with the manybody localization (MBL) transition. Unlike the latter, many results for random graphs are now well established, in particular the existence and precise value of a critical disorder separating a localized from an ergodic delocalized phase. However, the renormalization group flow and the nature

Penalizationinduced shrinking without rotation in high dimensional GLM regression: a cavity analysis arXiv.condmat.disnn Pub Date : 20220909
Emanuele Massa, Marianne Jonker, Anthony CoolenIn high dimensional regression, where the number of covariates is of the order of the number of observations, ridge penalization is often used as a remedy against overfitting. Unfortunately, for correlated covariates such regularisation typically induces in generalized linear models not only shrinking of the estimated parameter vector, but also an unwanted \emph{rotation} relative to the true vector

Anomalous elasticity of disordered networks arXiv.condmat.disnn Pub Date : 20220909
Edan Lerner, Eran BouchbinderContinuum elasticity is a powerful tool applicable in a broad range of physical systems and phenomena. Yet, understanding how and on what scales material disorder may lead to the breakdown of continuum elasticity is not fully understood. We show, based on recent theoretical developments and extensive numerical computations, that disordered elastic networks near a critical rigidity transition, such

Diverse coherenceresonance chimeras in coupled typeI excitable systems arXiv.condmat.disnn Pub Date : 20220909
Taniya Khatun, Biswabibek Bandyopadhyay, Tanmoy BanerjeeCoherenceresonance chimera was discovered in [Phys. Rev. Lett. 117, 014102 (2016)], which combines the effect of coherence resonance and classical chimeras in the presence of noise in a network of typeII excitable systems. However, the same in a network of typeI excitable units has not been observed yet. In this paper, for the first time, we report the occurrence of coherenceresonance chimera in

Size and quality of quantum mechanical dataset for training Neural Network Force Fields for liquid water arXiv.condmat.disnn Pub Date : 20220908
Márcio S. GomesFilho, Alberto Torres, Alexandre Reily Rocha, Luana S. PedrozaMolecular dynamics simulations have been used in different scientific fields to investigate a broad range of physical systems. However, the accuracy of calculation is based on the model considered to describe the atomic interactions. In particular, ab initio molecular dynamics (AIMD) has the accuracy of density functional theory (DFT), and thus is limited to small systems and relatively short simulation

Bulkboundary correspondence for interacting Floquet systems in two dimensions arXiv.condmat.disnn Pub Date : 20220908
Carolyn Zhang, Michael LevinWe present a method for deriving bulk and edge invariants for interacting, manybody localized Floquet systems in two spatial dimensions. This method is based on a general mathematical object which we call a flow. As an application of our method, we derive bulk invariants for Floquet systems without symmetry, as well as for systems with $U(1)$ symmetry. We also derive new formulations of previously

Quantum optimization with arbitrary connectivity using Rydberg atom arrays arXiv.condmat.disnn Pub Date : 20220908
MinhThi Nguyen, JinGuo Liu, Jonathan Wurtz, Mikhail D. Lukin, ShengTao Wang, Hannes PichlerProgrammable quantum systems based on Rydberg atom arrays have recently been used for hardwareefficient tests of quantum optimization algorithms [Ebadi et al., Science, 376, 1209 (2022)] with hundreds of qubits. In particular, the maximum independent set problem on the socalled unitdisk graphs, was shown to be efficiently encodable in such a quantum system. Here, we extend the classes of problems

Replica symmetry breaking in random lasers]{Replica symmetry breaking in random lasers: \\ experimental measurement of the overlap distribution arXiv.condmat.disnn Pub Date : 20220908
Claudio Conti, Neda Ghofraniha, Luca Leuzzi, Giancarlo RuoccoIn this chapter we report on the measurements of the overlap distribution of the replica symmetry breaking solution in complex disordered systems. After a general introduction to the problem of the experimental validation of the Parisi order parameter, we focus on the systems where the measurement has been possible for the first time: random lasers. Starting from first principles of lightmatter interaction

Planted matching problems on random hypergraphs arXiv.condmat.disnn Pub Date : 20220907
Urte Adomaityte, Anshul Toshniwal, Gabriele Sicuro, Lenka ZdeborováWe consider the problem of inferring a matching hidden in a weighted random $k$hypergraph. We assume that the hyperedges' weights are random and distributed according to two different densities conditioning on the fact that they belong to the hidden matching, or not. We show that, for $k>2$ and in the large graph size limit, an algorithmic first order transition in the signal strength separates a

Known by the company we keep: `Triadic influence' as a proxy for compatibility in social relationships arXiv.condmat.disnn Pub Date : 20220908
Miguel RuízGarcía, Juan Ozaita, María Pereda, Antonio Alfonso, Pablo BrañasGarza. Jose A. Cuesta, Ángel SánchezNetworks of social interactions are the substrate upon which civilizations are built. Often, we create new bonds with people that we like or feel that our relationships are damaged through the intervention of third parties. Despite their importance and the huge impact that these processes have in our lives, quantitative scientific understanding of them is still in its infancy, mainly due to the difficulty

Macroscopic Dynamics of Neural Networks with Heterogeneous Spiking Thresholds arXiv.condmat.disnn Pub Date : 20220907
Richard Gast, Sara A. Solla, Ann KennedyMeanfield theory links the physiological properties of individual neurons to the emergent dynamics of neural population activity. These models provide an essential tool for studying brain function at different scales; however, for their application to neural populations on large scale, they need to account for differences between distinct neuron types. The Izhikevich single neuron model can account

Exponential Tails and Asymmetry Relations for the Spread of Biased Random Walks arXiv.condmat.disnn Pub Date : 20220907
Stanislav Burov, Wanli Wang, Eli BarkaiExponential, and not Gaussian, decay of probability density functions was studied by Laplace in the context of his analysis of errors. Such Laplace propagators for the diffusive motion of single particles in disordered media were recently observed in numerous experimental systems. What will happen to this universality when an external driving force is applied? Using the ubiquitous continuous time random

Topology of vibrational modes predict plastic events in glasses arXiv.condmat.disnn Pub Date : 20220907
Zhen Wei Wu, Yixiao Chen, WeiHua Wang, Walter Kob, Limei XuThe plastic deformation of crystalline materials can be understood by considering their structural defects such as disclinations and dislocations. Although glasses are also solids, their structure resembles closely the one of a liquid and hence the concept of structural defects becomes illdefined. As a consequence it is very challenging to rationalize on a microscopic level the mechanical properties

Dynamical Heterogeneity in GlassForming Liquids arXiv.condmat.disnn Pub Date : 20220906
Giulio Biroli, Kunimasa Miyazaki, David R. ReichmanWe review the phenomena of dynamical heterogeneity in glassforming systems and its description within replica and meanfield theories of the glass transition.