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arxiv: 1705.05578 · v2 · pith:AFLVLDOXnew · submitted 2017-05-16 · ❄️ cond-mat.str-el · cond-mat.mes-hall

Matrix product state techniques for two-dimensional systems at finite temperature

classification ❄️ cond-mat.str-el cond-mat.mes-hall
keywords statetemperaturesfindinglatticematrixmethodsnumericalpurification
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The density matrix renormalization group is one of the most powerful numerical methods for computing ground-state properties of two-dimensional (2D) quantum lattice systems. Here we show its finite-temperature extensions are also viable for 2D, using the following strategy: At high temperatures, we combine density-matrix purification and numerical linked-cluster expansions to extract static observables directly in the thermodynamic limit. At low temperatures inaccessible to purification, we use the minimally entangled typical thermal state (METTS) algorithm on cylinders. We consider the triangular Heisenberg antiferromagnet as a first application, finding excellent agreement with other state of the art methods. In addition, we present a METTS-based approach that successfully extracts critical temperatures, and apply it to a frustrated lattice model. On a technical level, we compare two different schemes for performing imaginary-time evolution of 2D clusters, finding that a Suzuki-Trotter decomposition with swap gates is currently the most accurate and efficient.

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