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This research introduces "multipole splats" as a robust numerical framework for inverting Kohn-Sham potentials within density functional theory, directly addressing long-standing issues like self-interaction and delocalization errors. By mapping these problems to stable Hamiltonian learning tasks, the study enables more accurate predictions of spectral properties and real-time dynamics in correlated quantum systems. This advancement represents a significant methodological step forward for computational chemistry and materials science relying on first-principles quantum simulations.
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Multipole splats for optimized and inverted effective potentials

arXiv3 min read

arXiv:2609.09280v1 Announce Type: cross Abstract: Approximate single-particle descriptions of correlated matter remain the principal source of actionable predictions in quantum science. In modern density functional theory (DFT), hybrid effective Hamiltonians are constructed to reproduce equilibrium densities and forces. However, their nonlocal and orbital-dependent potentials leave systematic errors in response properties and real-time dynamics. Local optimized effective potentials (OEP) or inverted Kohn-Sham (IKS) potentials would remove this limitation, but the numerical fragility in finite orbital bases has long prevented their wide adoption. We introduce multipole splats, a class of trial potentials that carry the correct asymptotic decay by construction. By showing that OEP and IKS map to variational and supervised variants of Hamiltonian learning, we recast both problems as stable nonlinear optimization formulated directly in standard orbital basis sets and applicable to any hybrid functional approximation. We show improvements to three canonical DFT failure modes. Firstly, by comparing approximate and near-exact inverted effective correlation potentials, we isolate the spatial signatures of self-interaction, delocalization, and static correlation errors. Secondly, we recover the Rydberg series without empirical asymptotic corrections, demonstrating access to precise spectral properties. Finally, we compute exact-exchange potentials for larger $\pi$-conjugated systems, establishing scaling capacity. Multipole splats extract new first-principles insights from established approximations and provide capacity for robust dataset generation for downstream processing and learning.

Abstract:Approximate single-particle descriptions of correlated matter remain the principal source of actionable predictions in quantum science. In modern density functional theory (DFT), hybrid effective Hamiltonians are constructed to reproduce equilibrium densities and forces. However, their nonlocal and orbital-dependent potentials leave systematic errors in response properties and real-time dynamics. Local optimized effective potentials (OEP) or inverted Kohn-Sham (IKS) potentials would remove this limitation, but the numerical fragility in finite orbital bases has long prevented their wide adoption. We introduce multipole splats, a class of trial potentials that carry the correct asymptotic decay by construction. By showing that OEP and IKS map to variational and supervised variants of Hamiltonian learning, we recast both problems as stable nonlinear optimization formulated directly in standard orbital basis sets and applicable to any hybrid functional approximation. We show improvements to three canonical DFT failure modes. Firstly, by comparing approximate and near-exact inverted effective correlation potentials, we isolate the spatial signatures of self-interaction, delocalization, and static correlation errors. Secondly, we recover the Rydberg series without empirical asymptotic corrections, demonstrating access to precise spectral properties. Finally, we compute exact-exchange potentials for larger $\pi$-conjugated systems, establishing scaling capacity. Multipole splats extract new first-principles insights from established approximations and provide capacity for robust dataset generation for downstream processing and learning.

Chemical Physics (physics.chem-ph); Computational Physics (physics.comp-ph); Quantum Physics (quant-ph)

arXiv:2609.09280 [physics.chem-ph]

(or arXiv:2609.09280v1 [physics.chem-ph] for this version)

https://doi.org/10.48550/arXiv.2609.09280 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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Full text under the publisher's open licence · 310 words

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