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Massively parallel quantum chemical density matrix renormalization group method

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arxiv 2001.04890 v2 pith:LF6IEDEB submitted 2020-01-14 physics.chem-ph cond-mat.str-elquant-ph

classification physics.chem-phcond-mat.str-elquant-ph
keywords parallelcalculationschemicaldensitygroupmatrixqc-dmrgquantum
verification ladder T0 review T1 audit T2 compute T3 formal
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We present, to the best of our knowlegde, the first attempt to exploit the supercomputer platform for quantum chemical density matrix renormalization group (QC-DMRG) calculations. We have developed the parallel scheme based on the in-house MPI global memory library, which combines operator and symmetry sector parallelisms, and tested its performance on three different molecules, all typical candidates for QC-DMRG calculations. In case of the largest calculation, which is the nitrogenase FeMo cofactor cluster with the active space comprising 113 electrons in 76 orbitals and bond dimension equal to 6000, our parallel approach scales up to approximately 2000 CPU cores.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Learning Minimal Representations of Fermionic Ground States

    quant-ph 2025-12 conditional novelty 6.0 of 10

    Autoencoders trained on Hubbard ground-state measurement vectors show a sharp reconstruction threshold at L−1 latent dimensions, and the decoder can be used as a variational ansatz for energy minimization.

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