Computational complexity of spin-glass three-dimensional (3D) Ising model
Zhidong Zhang

TL;DR
This paper proves that the computational complexity of the 3D spin-glass Ising model is inherently exponential, specifically O(2^mn), and cannot be simplified without losing essential information, indicating fundamental computational difficulty.
Contribution
It establishes a lower bound on the computational complexity of the 3D spin-glass Ising model, showing it cannot be reduced below exponential time.
Findings
The minimal core model has complexity O(2^mn).
Any simplification loses critical information.
Complexity cannot be reduced below exponential time.
Abstract
In this work, the computational complexity of a spin-glass three-dimensional (3D) Ising model (for the lattice size N = lmn, where l, m, n are the numbers of lattice points along three crystallographic directions) is studied. We prove that an absolute minimum core (AMC) model consisting of a spin-glass 2D Ising model interacting with its nearest neighboring plane, has its computational complexity O(2^mn). Any algorithms to make the model smaller (or simpler) than the AMC model will cut the basic element of the spin-glass 3D Ising model and lost many important information of the original model. Therefore, the computational complexity of the spin-glass 3D Ising model cannot be reduced to be less than O(2^mn) by any algorithms, which is in subexponential time, superpolynomial.
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Taxonomy
TopicsTheoretical and Computational Physics · Complex Network Analysis Techniques · Opinion Dynamics and Social Influence
