Differentiated Determinant Graphs Enable Large-Scale Multideterminant Auxiliary-Field Quantum Monte Carlo
Abstract
Multideterminant trial wave functions can reduce phaseless bias in auxiliary-field quantum Monte Carlo (AFQMC), but the repeated evaluation of their overlap, force bias, and local energy restricts systematic trial improvement. In this work, we organize particle--hole excitation determinants as a shared arithmetic directed acyclic graph of canonical minors. A coefficient-weighted reverse pass and batched directional passes evaluate the complete estimator without determinant-resolved cofactor tens...
Description / Details
Multideterminant trial wave functions can reduce phaseless bias in auxiliary-field quantum Monte Carlo (AFQMC), but the repeated evaluation of their overlap, force bias, and local energy restricts systematic trial improvement. In this work, we organize particle--hole excitation determinants as a shared arithmetic directed acyclic graph of canonical minors. A coefficient-weighted reverse pass and batched directional passes evaluate the complete estimator without determinant-resolved cofactor tensors while preserving the sparse -- coefficient coupling exactly. Controlled complex-valued tests verify the complete kernel to machine precision and show orders-of-magnitude acceleration over direct determinant summation. In molecular calculations, the observed cost remains sublinear through million-configuration selected-CI trials and the same estimator remains usable at one hundred million configurations, where the eventual exact coefficient-contraction boundary becomes visible. For Cr, an orbital-optimized CAS(12e,42o) trial in a double- basis yields a potential-energy curve (PEC) and spectroscopic constants in close agreement with experiment. Differentiated determinant graphs therefore convert very large correlated trials from a formal accuracy hierarchy into a practical route for systematic AFQMC studies of strongly correlated molecules.
Source: arXiv:2610.29851v1 - http://arxiv.org/abs/2610.29851v1 PDF: https://arxiv.org/pdf/2610.29851v1 Original Link: http://arxiv.org/abs/2610.29851v1
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Oct 22, 2026
Chemistry
Chemistry
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