Results 21 to 30 of about 20,652,710 (339)
The critical temperature of the 2D-Ising model through deep learning autoencoders
European Physical Journal B : Condensed Matter Physics, 2020 We investigate deep learning autoencoders for the unsupervised recognition of phase transitions in physical systems formulated on a lattice. We focus our investigation on the 2-dimensional ferromagnetic Ising model and then test the application of ...
C. Alexandrou +3 more
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Joint estimation of parameters in Ising model [PDF]
Annals of Statistics, 2018 We study joint estimation of the inverse temperature and magnetization parameters $(\beta,B)$ of an Ising model with a non-negative coupling matrix $A_n$ of size $n\times n$, given one sample from the Ising model.
Promit Ghosal, S. Mukherjee
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Trip Planning Based on subQUBO Annealing
IEEE Access, 2023 The trip planning problem (TPP) can be formulated as a combinatorial optimization problem that searches for the best route to visit a series of landmarks and hotels.
Tatsuya Noguchi +3 more
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Imaginary multiplicative chaos: Moments, regularity and connections to the Ising model [PDF]
The Annals of Applied Probability, 2018 In this article we study imaginary Gaussian multiplicative chaos -- namely a family of random generalized functions which can formally be written as $e^{i X(x)}$, where $X$ is a log-correlated real-valued Gaussian field on $\mathbb{R}^d$, i.e.
J. Junnila, E. Saksman, Christian Webb
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Bootstrapping the long-range Ising model in three dimensions [PDF]
Journal of Physics A: Mathematical and Theoretical, 2018 The 3D Ising model and the generalized free scalar of dimension at least 0.75 belong to a continuous line of nonlocal fixed points, each referred to as a long-range Ising model.
C. Behan
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Oscillator-Network-Based Ising Machine
Micromachines, 2022 With the slowdown of Moore’s law, many emerging electronic devices and computing architectures have been proposed to sustain the performance advancement of computing.
Yi Zhang +10 more
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Super-resolving the Ising model with convolutional neural networks [PDF]
Physical review B, 2018 Machine learning is becoming widely used in condensed matter physics. Inspired by the concept of image super-resolution, we propose a method to increase the size of lattice spin configurations using deep convolutional neural networks.
Stavros Efthymiou, M. Beach, R. Melko
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Pushing the limits of Monte Carlo simulations for the three-dimensional Ising model. [PDF]
Physical Review E, 2017 While the three-dimensional Ising model has defied analytic solution, various numerical methods like Monte Carlo, Monte Carlo renormalization group, and series expansion have provided precise information about the phase transition.
A. M. Ferrenberg, Jiahao Xu, D. Landau
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Toward a 3d Ising model with a weakly-coupled string theory dual
SciPost Physics, 2020 It has long been expected that the 3d Ising model can be thought of as a string theory, where one interprets the domain walls that separate up spins from down spins as two-dimensional string worldsheets.
Nabil Iqbal, John McGreevy
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Application of convolutional neural networks to spin models studies
St. Petersburg Polytechnical University Journal: Physics and Mathematics, 2022 Nowadays, methods and techniques of Deep Learning are being used in various scientific areas. In this paper, the applying of convolutional neural network was considered in frame of problems from statistical physics and computer simulation of magnetic ...
Perzhu Aleksandr +5 more
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