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- W2007397799 abstract "The Markov entropy decomposition (MED) is a recently-proposed, cluster-based simulation method for finite temperature quantum systems with arbitrary geometry. In this paper, we detail numerical algorithms for performing the required steps of the MED, principally solving a minimization problem with a preconditioned Newton's algorithm, as well as how to extract global susceptibilities and thermal responses. We demonstrate the power of the method with the spin-1/2 XXZ model on the 2D square lattice, including the extraction of critical points and details of each phase. Although the method shares some qualitative similarities with exact-diagonalization, we show the MED is both more accurate and significantly more flexible." @default.
- W2007397799 created "2016-06-24" @default.
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- W2007397799 date "2013-05-20" @default.
- W2007397799 modified "2023-10-16" @default.
- W2007397799 title "Algorithms for the Markov entropy decomposition" @default.
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- W2007397799 doi "https://doi.org/10.1103/physrevb.87.205126" @default.
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