Latest in cond-mat.dis-nn
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Breaking of 1RSB in random MAX-NAE-SATApr 18 2019For several models of random constraint satisfaction problems, it was conjectured by physicists and later proved that a sharp satisfiability transition occurs. For random $k$-SAT and related models it happens at clause density $\alpha$ around $2^k$. Just ... More High Entropy Alloys Mined From Phase DiagramsApr 18 2019High entropy alloys (HEA) show promise as a new type of high-performance structural material. Their vast degrees of freedom provide for extensive opportunities to design alloys with tailored properties. However, the compositional complexities of HEAs ... More Radial basis function network using Lambert-Tsallis Wq functionApr 18 2019The present work brings two applications of the Lambert-Tsallis Wq function in radial basis function networks (RBFN). Initially, a RBFN is used to discriminate between entangled and disentangled bipartite of qubit states. The kernel used is based on the ... More Maximum-energy records in glassy energy landscapesApr 17 2019We study the evolution of the maximum energy $E_\max(t)$ reached between time $0$ and time $t$ in the dynamics of simple models with glassy energy landscapes, in instant quenches from infinite temperature to a target temperature $T$. Through a detailed ... More Dipolar Bose gas with three-body interactions in weak disorderApr 16 2019We study effects of weak disorder with Gaussian correlation function on a dipolar Bose gas with three-body interactions using the Hartree-Fock-Bogoliubov theory. Corrections due to quantum, thermal and disorder fluctuations to the condensate depletion, ... More Learning a Gauge Symmetry with Neural NetworksApr 16 2019We explore the capacity of neural networks to detect a symmetry with complex local and non-local patterns: the gauge symmetry $Z_2$. This symmetry is present in physical problems from topological transitions to QCD, and controls the computational hardness ... More Universal relaxation dynamics of sphere packings below jammingApr 15 2019We show that non-Brownian suspensions of repulsive spheres below jamming display a slow relaxational dynamics with a characteristic time scale that diverges at jamming. This slow time scale is fully encoded in the structure of the unjammed packing and ... More Electric Field Response In Breathing PyrochloresApr 15 2019We study the effects of a uniform electric field on the the ground state and excitations of the three-dimensional U(1) spin liquid phase of a breathing pyrochlore lattice, arising due to the coupling between the conventional (Maxwell) electric field and ... More Experimental neural network enhanced quantum tomographyApr 11 2019Quantum tomography is currently ubiquitous for testing any implementation of a quantum information processing device. Various sophisticated procedures for state and process reconstruction from measured data are well developed and benefit from precise ... More Room temperature spin-ice physics in cadmium cyanideApr 11 2019Spin-ices are frustrated magnets that support a particularly rich variety of emergent physics. Typically, it is the interplay of magnetic dipole interactions, spin anisotropy, and geometric frustration on the pyrochlore lattice that drives spin-ice formation. ... More Hamilton-Jacobi equations for finite-rank matrix inferenceApr 10 2019We compute the large-scale limit of the free energy associated with the problem of inference of a finite-rank matrix. The method follows the principle put forward in arXiv:1811.01432 which consists in identifying a suitable Hamilton-Jacobi equation satisfied ... More Dynamics of Phase Separated States in the Double Exchange ModelApr 10 2019We present extensive large-scale dynamical simulations of phase-separated states in the double exchange model. These inhomogeneous electronic states that play a crucial role in the colossal magnetoresistance phenomenon are composed of ferromagnetic metallic ... More Shaping the Branched Flow of Light through Disordered MediaApr 10 2019Electronic matter waves traveling through the weak and smoothly varying disorder potential of a semi-conductor show branching behavior instead of a smooth spreading of flow. By transferring this phenomenon to optics, we show how the branched flow of light ... More Eigenvalue and Eigenvector Statistics in Time Series AnalysisApr 10 2019The study of correlated time-series is ubiquitous in statistical analysis, and the matrix decomposition of the cross-correlations between time series is a universal tool to extract the principal patterns of behavior in a wide range of complex systems. ... More Bayesian Neural Networks at Finite TemperatureApr 08 2019We recapitulate the Bayesian formulation of neural network based classifiers and show that, while sampling from the posterior does indeed lead to better generalisation than is obtained by standard optimisation of the cost function, even better performance ... More Flat-band many-body localization in the Creutz ladderApr 06 2019Apr 15 2019Study on a disorder-free many-body localization is reported for the flat-band Creutz ladder, which was recently realized in cold-atoms in an optical lattice. In a non-interacting case, the flat-band structure leads to a Wannier wavefunction localized ... More Flat-band many-body localization in the Creutz ladderApr 06 2019Study on disorder-free many-body localization is reported for the flat-band Creutz ladder, which was recently realized in cold-atoms in an optical lattice. In non-interacting case, the flat-band structure leads to a Wannier wave function localized on ... More The matrix product approximation for the dynamic cavity methodApr 05 2019Stochastic dynamics of classical degrees of freedom, defined on vertices of locally tree-like graphs, can be studied in the framework of the dynamic cavity method which is exact for tree graphs. Such models correspond for example to spin-glass systems, ... More Quantum quenches in isolated quantum glasses out of equilibriumApr 05 2019In this work, we address the question of how a closed quantum system thermalises in the presence of a random external potential. By investigating the quench dynamics of the isolated quantum spherical $p$-spin model, a paradigmatic model of a mean-field ... More Overlap matrix concentration in optimal Bayesian inferenceApr 04 2019We consider models of Bayesian inference of signals with vectorial components of finite dimensionality. We show that, under a proper perturbation, these models are replica symmetric in the sense that the overlap matrix concentrates. The overlap matrix ... More From ergodic to non-ergodic chaos in Rosenzweig-Porter modelApr 04 2019The Rosenzweig-Porter model is a one-parameter family of random matrices with three different phases: ergodic, extended non-ergodic and localized. We characterize numerically each of these phases and the transitions between them. We show that the distribution ... More Transport and chaos in lattice Sachdev-Ye-Kitaev modelsApr 03 2019We compute the transport and chaos properties of lattices of quantum Sachdev-Ye-Kitaev islands coupled by single fermion hopping, and with the islands coupled to a large number of local, low energy phonons. We find two distinct regimes of linear-in-temperature ... More The Fractal X-Ray Edge ProblemApr 02 2019We study the Anderson orthogonality catastrophe, and the corresponding X-ray edge problem, in systems that are at a localization transition driven by a deterministic quasiperiodic potential. Specifically, we address how the ground state of the Aubry-Andre ... More Avalanches in an excitable networkApr 02 2019We study propagation of avalanches in a certain excitable network. The model is a particular case of the one introduced in [23], and is mathematically equivalent to an endemic variation of the Reed-Frost epidemic model introduced in [27]. Two types of ... More Self-starting nonlinear mode-locking in random lasersMar 31 2019In ultra-fast multi-mode lasers, mode-locking is implemented by means of ad hoc devices, like saturable absorbers or modulators, allowing for very short pulses. This comes about because of nonlinear interactions induced among modes at different, well ... More Emergence of magnetism in bulk amorphous palladiumMar 29 2019Magnetism is a macro-manifestation of quantum phenomena due mainly to the spin and the orbital momentum of the electrons. In materials science magnetism can exhibit short- and long-range behavior giving rise to different properties in the bulk: paramagnetism, ... More PAC Learnability of nuclear massesMar 29 2019After more than 80 years from the seminal work of Weizs\"acker and the liquid drop model of the atomic nucleus, theoretical errors over nuclear masses ($\sim$ MeV) are order of magnitudes larger than experimental ones ($\lesssim$ keV). Predicting the ... More PAC Learnability of nuclear massesMar 29 2019Apr 09 2019After more than 80 years from the seminal work of Weizs\"acker and the liquid drop model of the atomic nucleus, theoretical errors over nuclear masses ($\sim$ MeV) are order of magnitudes larger than experimental ones ($\lesssim$ keV). Predicting the ... More Critical excitation/inhibition balance in dense neural networksMar 29 2019The "edge of chaos" phase transition in artificial neural networks is of renewed interest in the light of recent evidence for criticality in brain dynamics. Statistical mechanics traditionally studied this transition with connectivity $k$ as control parameter ... More Counting the learnable functions of structured dataMar 28 2019Cover's function counting theorem is a milestone in the theory of artificial neural networks. It provides an answer to the fundamental question of determining how many binary assignments (dichotomies) of $p$ points in $n$ dimensions can be linearly realized. ... More Materials Physics and Spin GlassesMar 27 2019Comparisons and analogies are drawn between materials ferroic glasses and conventional spin glasses, in terms of both experiment and theoretical modelling, with inter-system conceptual transfers leading to suggestions of further issues to investigate. ... More Spike-based primitives for graph algorithmsMar 25 2019In this paper we consider graph algorithms and graphical analysis as a new application for neuromorphic computing platforms. We demonstrate how the nonlinear dynamics of spiking neurons can be used to implement low-level graph operations. Our results ... More Machine learning and the physical sciencesMar 25 2019Machine learning encompasses a broad range of algorithms and modeling tools used for a vast array of data processing tasks, which has entered most scientific disciplines in recent years. We review in a selective way the recent research on the interface ... More Active Learning of Spin Network ModelsMar 25 2019Complex networks can be modeled as a probabilistic graphical model, where the interactions between binary variables, "spins", on nodes are described by a coupling matrix that is inferred from observations. The inverse statistical problem of finding direct ... More Active topolectrical circuitsMar 25 2019We develop design principles for active topolectrical circuits (ATCs) by exploiting a mathematical correspondence between active mechanical metamaterials and nonlinear electronic circuits. Building on a generic nonlinear oscillator representation of active ... More Top Eigenpair Statistics for Weighted Sparse GraphsMar 23 2019We develop a formalism to compute the statistics of the top eigenpair of weighted sparse graphs with finite mean connectivity and bounded maximal degree. Framing the problem in terms of optimisation of a quadratic form on the sphere and introducing a ... More Conventional superconductivity in quasicrystalsMar 22 2019Motivated by a recent experimental observation of superconductivity in the Al-Zn-Mg quasicrystal, we study the low-temperature behavior of electrons moving in the quasiperiodic potential of the Ammann-Beenker tiling in the presence of a local attraction. ... More Thermalization of isotopically disordered chainMar 22 2019Recently, the equipartition hypothesis in statistical physics has been verified in the case of one-dimensional lattices based on the wave turbulence theory. It has been shown that thermalization should occur for arbitrarily small nonlinearity. Particularly, ... More Exact Distributions of Currents and Frenesy for Markov BridgesMar 19 2019We consider discrete-time Markov bridges, chains whose initial and final states coincide. We derive an exact finite-time formula for the full probability distribution of additive functionals of trajectories. We apply our theory to time-integrated currents ... More Few-shot machine learning in the three-dimensional Ising modelMar 19 2019We investigate theoretically the phase transition in three dimensional cubic Ising model utilizing state-of-the-art machine learning algorithms. Supervised machine learning models show high accuracies (~99\%) in phase classification and very small relative ... More Few-shot machine learning in the three-dimensional Ising modelMar 19 2019Mar 20 2019We investigate theoretically the phase transition in three dimensional cubic Ising model utilizing state-of-the-art machine learning algorithms. Supervised machine learning models show high accuracies (~99\%) in phase classification and very small relative ... More Bath-induced decay of Stark many-body localizationMar 18 2019We investigate the relaxation dynamics of an interacting Stark-localized system coupled to a dephasing bath, and compare its behavior to the conventional disorder-induced many body localized system. Specifically, we study the dynamics of population imbalance ... More Learning to find order in disorderMar 16 2019We introduce the use of neural networks as classifiers on classical disordered systems with no spatial ordering. In this study, we implement a convolutional neural network trained to identify the spin-glass state in the three-dimensional Edwards-Anderson ... More