
arXiv: 2310.14140
Abstract The Ising model is the simplest model for describing many-body effects in classical statistical mechanics. A duality analysis leads to its critical point under several assumptions. The Ising model has $Z_2$-symmetry. The basis of duality analysis is a nontrivial relationship between low- and high-temperature expansions. However, discrete Fourier transformation automatically determines the hidden relationship. The duality analysis can naturally extend to systems with various degrees of freedom, $Z_q$ symmetry, and random spin systems. Furthermore, we obtained the duality relation in a series of permutation models in the present study by considering the symmetric group $S_q$ and its Fourier transformation. The permutation model in a symmetric group is closely related to random quantum circuits and random tensor network models, which are frequently discussed in quantum computing. It also relates to the holographic principle, a property of string theories and quantum gravity. We provide a systematic approach using duality analysis to examine the phase transition in these models.
Equilibrium statistical mechanics, Quantum Physics, Statistical Mechanics (cond-mat.stat-mech), FOS: Physical sciences, Applications of statistical mechanics to specific types of physical systems, Disordered Systems and Neural Networks (cond-mat.dis-nn), Condensed Matter - Disordered Systems and Neural Networks, Unified, higher-dimensional and super field theories, Quantum Physics (quant-ph), Condensed Matter - Statistical Mechanics
Equilibrium statistical mechanics, Quantum Physics, Statistical Mechanics (cond-mat.stat-mech), FOS: Physical sciences, Applications of statistical mechanics to specific types of physical systems, Disordered Systems and Neural Networks (cond-mat.dis-nn), Condensed Matter - Disordered Systems and Neural Networks, Unified, higher-dimensional and super field theories, Quantum Physics (quant-ph), Condensed Matter - Statistical Mechanics
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