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• W2896658035 abstract "Numerical linked-cluster expansions allow one to calculate finite-temperature properties of quantum lattice models directly in the thermodynamic limit through exact solutions of small clusters. However, full diagonalization is often the limiting factor for these calculations. Here, we show that a partial diagonalization of the largest clusters in the expansion using the Lanczos algorithm can be as useful as full diagonalization for the method while mitigating some of the time and memory issues. As a test case, we consider a frustrated Heisenberg model on the checkerboard lattice and find that our approach can lead to much more efficient calculations in a parallel environment." @default.
• W2896658035 created "2018-10-26" @default.
• W2896658035 creator A5044257744 @default.
• W2896658035 creator A5045729130 @default.
• W2896658035 date "2019-07-11" @default.
• W2896658035 modified "2023-09-24" @default.
• W2896658035 title "Lanczos-boosted numerical linked-cluster expansion for quantum lattice models" @default.
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• W2896658035 doi "https://doi.org/10.1103/physreve.100.013305" @default.
• W2896658035 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31499902" @default.
• W2896658035 hasPublicationYear "2019" @default.
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