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arxiv: 1805.07406 · v1 · pith:3GZFKDKKnew · submitted 2018-05-18 · ❄️ cond-mat.mtrl-sci

An efficient hybrid orbital representation for quantum Monte Carlo calculations

classification ❄️ cond-mat.mtrl-sci
keywords memoryrepresentationb-splinesbasishybridquantumaccuracyatomic
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The scale and complexity of quantum system to which real-space quantum Monte Carlo (QMC) can be applied in part depends on the representation and memory usage of the trial wavefunction. B-splines, the computationally most efficient basis set, can have memory requirements exceeding the capacity of a single computational node. This situation has traditionally forced a difficult choice of either using slow internode communication or a potentially less accurate but smaller basis set such as Gaussians. Here, we introduce a hybrid representation of the single particle orbitals that combine a localized atomic basis set around atomic cores and B-splines in the interstitial regions to reduce the memory usage while retaining high speed of evaluation and either retaining or increasing overall accuracy. We present a benchmark calculation for NiO demonstrating a superior accuracy while using only one eighth the memory required for conventional B-splines. The hybrid orbital representation therefore expands the overall range of systems that can be practically studied with QMC.

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