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Testing Ising Models
Published 2021“…One of the key technical challenges we face along the way is bounding the variance of functions of the Ising model.…”
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Testing ising models
Published 2022“…One of the key technical challenges we face along the way is bounding the variance of functions of the Ising model.…”
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Ising model with stochastic resetting
Published 2020-08-01“…We study the nonequilibrium stationary state (NESS) of the Ising model driven away from thermal equilibrium at temperature T by a stochastic resetting protocol. …”
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The Information Service Evaluation (ISE) Model
Published 2014-06-01“…As a holistic and comprehensive approach, the ISE Model studies five dimensions that influence adoption, use, impact and diffusion of the information service: information service quality, information user, information acceptance, information environment and time. …”
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Quantum correlations in the Kerr Ising model
Published 2020-01-01Subjects: “…Ising model…”
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Grassmannization of the 3D Ising Model
Published 2019-06-01Subjects: “…Ising model…”
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Structure Learning of Antiferromagnetic Ising Models
Published 2016“…Indeed, focusing on ferromagnetic Ising models, Bento and Montanari showed that all known low-complexity algorithms fail to learn simple graphs when the interaction strength exceeds a number related to the correlation decay threshold. …”
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Information Storage in the Stochastic Ising Model
Published 2022“…The system dynamics follow the stochastic Ising model (SIM) over a 2-dimensional sqrt {{n}}times sqrt {{n}} grid. …”
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The miracle in the iron and the Ising model of the ferromagnet
Published 2011“…This paper is an attempt to present the basic ideas of the Ising model and its application to a wider audience.…”
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Approximating pairwise correlations in the Ising model
Published 2019“…In the Ising model, we consider the problem of estimating the covariance of the spins at two specified vertices. …”
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Genuine multipartite entanglement in the cluster-Ising model
Published 2014-01-01“…We evaluate and analyze the exact value of a measure for local genuine tripartite entanglement in the one-dimensional cluster-Ising model for spin- $\frac{1}{2}$ particles. This model is attractive since cluster states are considered to be relevant sources for applying quantum algorithms and the model is experimentally feasible. …”
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Learning the Ising model with generative neural networks
Published 2020-06-01“…To better understand the representational characteristics of RBMs and VAEs, we study their ability to capture physical features of the Ising model at different temperatures. This approach allows us to quantitatively assess learned representations by comparing sample features with corresponding theoretical predictions. …”
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