1996
DOI: 10.1088/0305-4470/29/14/018
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The critical exponents of the two-dimensional Ising spin glass revisited: exact ground-state calculations and Monte Carlo simulations

Abstract: The critical exponents for T → 0 of the two-dimensional Ising spin glass model with Gaussian couplings are determined with the help of exact ground states for system sizes up to L = 50 and by a Monte Carlo study of a pseudo-ferromagnetic order parameter. We obtain: for the stiffness exponent y(= θ) = −0.281 ± 0.002, for the magnetic exponent δ = 1.48 ± 0.01 and for the chaos exponent ζ = 1.05 ± 0.05. From Monte Carlo simulations we get the thermal exponent ν = 3.6 ± 0.2. The scaling prediction y = −1/ν is fulf… Show more

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Cited by 109 publications
(166 citation statements)
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“…The straight line corresponds to the expected asymptotic power-law behavior with the exponent −x given in Eq. (8). To show more explicitly the quality of the collapse, the inset includes only the data points used in the fitting procedure and the polynomial fitting function (black curve).…”
Section: Order Parametermentioning
confidence: 99%
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“…The straight line corresponds to the expected asymptotic power-law behavior with the exponent −x given in Eq. (8). To show more explicitly the quality of the collapse, the inset includes only the data points used in the fitting procedure and the polynomial fitting function (black curve).…”
Section: Order Parametermentioning
confidence: 99%
“…Here the value of the exponent a ≈ 0.073 in the power law (L z+1/ν ) a is very close to half of the value of the exponent x in Eq. (8).…”
Section: Order Parametermentioning
confidence: 99%
“…Assuming that E a (L) and E b (L) can be determined exactly for each sample, then ∆E(L) is also known exactly for each sample and the errors in ∆E(L) We are forced to conclude that the accessible sizes L are limited by the necessity of finding essentially exact global energy minima of each of a number N of samples subject to certain, yet to be defined, BC. To our knowledge, there is no algorithm applicable to the systems of interest which will find exact minima in polynomial time, such as the branch and cut algorithm 32 for the 2D Ising spin glass or numerically exact combinatorial optimization algorithms 33 for gauge and vortex glass models in the infinite screening limit, so we have to live with the fact that our problem is NP complete and the required CPU time explodes as L increases. We use simulated annealing 34,35 to estimate the lowest energies, which seems considerably more efficient than simple quenching to T = 0, but we are unable to go beyond L = 7 in 3D and L = 10 in 2D.…”
Section: Strategymentioning
confidence: 99%
“…Both estimates suggest that θ E (0) is slightly more negative than the accurately measured θ DW = −0.28 ± 0.01. 29,30,31 x(T ) shows a shallow minimum at T ≈ 0.4, unrelated to any ordering temperature.…”
mentioning
confidence: 95%