A Stochastic Cluster Expansion for Electronic Correlation in Large Systems
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arXiv
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| Format: | Preprint |
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2026
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| author | Canestraight, Annabelle Dominic, Anthony J. Montoya-Castillo, Andres Veis, Libor Vlcek, Vojtech |
| author_facet | Canestraight, Annabelle Dominic, Anthony J. Montoya-Castillo, Andres Veis, Libor Vlcek, Vojtech |
| contents | Accurate many-body treatments of condensed-phase systems are challenging because correlated solvers such as full configuration interaction (FCI) and the density matrix renormalization group (DMRG) scale exponentially with system size. Downfolding and embedding approaches mitigate this cost but typically require prior selection of a correlated subspace, which can be difficult to determine in heterogeneous or extended systems. Here, we introduce a stochastic cluster expansion framework for efficiently recovering the total correlation energy of large systems with near-DMRG accuracy, without the need to select an active space a priori. By combining correlation contributions from randomly sampled environment orbitals with an exactly treated subspace of interest, the method reproduces total energies for non-reacting and reactive systems while drastically reducing computational cost. The approach also provides a quantitative diagnostic for molecule-solvent correlation, guiding principled embedding decisions. This framework enables systematically improvable many-body calculations in extended systems, opening the door to high-accuracy studies of chemical processes in condensed phase environments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_12254 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | A Stochastic Cluster Expansion for Electronic Correlation in Large Systems Canestraight, Annabelle Dominic, Anthony J. Montoya-Castillo, Andres Veis, Libor Vlcek, Vojtech Materials Science Chemical Physics Computational Physics Accurate many-body treatments of condensed-phase systems are challenging because correlated solvers such as full configuration interaction (FCI) and the density matrix renormalization group (DMRG) scale exponentially with system size. Downfolding and embedding approaches mitigate this cost but typically require prior selection of a correlated subspace, which can be difficult to determine in heterogeneous or extended systems. Here, we introduce a stochastic cluster expansion framework for efficiently recovering the total correlation energy of large systems with near-DMRG accuracy, without the need to select an active space a priori. By combining correlation contributions from randomly sampled environment orbitals with an exactly treated subspace of interest, the method reproduces total energies for non-reacting and reactive systems while drastically reducing computational cost. The approach also provides a quantitative diagnostic for molecule-solvent correlation, guiding principled embedding decisions. This framework enables systematically improvable many-body calculations in extended systems, opening the door to high-accuracy studies of chemical processes in condensed phase environments. |
| title | A Stochastic Cluster Expansion for Electronic Correlation in Large Systems |
| topic | Materials Science Chemical Physics Computational Physics |
| url | https://arxiv.org/abs/2602.12254 |