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2015 | OriginalPaper | Chapter

Application of Advanced Diagonalization Methods to Quantum Spin Systems

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Abstract

In this work, the Block Davidson and the residual minimization-direct inversion in the iterative subspace (RMM-DIIS) algorithms are used to diagonalize the Hamilton matrices arising from antiferromagnetic spin-\(\frac{1}{2}\) Heisenberg models. The results show that both algorithms find reliably the lowest eigenvalues but the computational costs are smaller for the RMM-DIIS method. In addition to this, the authors show that the new Intel Xeon Phi coprocessor can be used efficiently for this type of problems.

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Metadata
Title
Application of Advanced Diagonalization Methods to Quantum Spin Systems
Authors
Jie Yu Wang
Ralf Meyer
Copyright Year
2015
DOI
https://doi.org/10.1007/978-3-319-12307-3_70

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