Deterministic Optimisation of Jastrow Factors
Maria-Andreea Filip, Evelin M.C. Christlmaier, J. Philip Haupt, Daniel Kats, Pablo L\'opez R\'ios, Ali Alavi

TL;DR
This paper introduces a deterministic method for optimizing Jastrow factors in quantum chemistry, reducing noise and improving energy accuracy compared to traditional stochastic approaches.
Contribution
It presents a novel deterministic approach to optimize Jastrow factors by minimizing the variance of the transcorrelated energy, enhancing reproducibility and accuracy.
Findings
Achieves low-variance Slater-Jastrow wavefunctions comparable to VMC optimization.
Produces lower energies than variance-optimized VMC.
Applicable to first row atoms and molecules with improved results.
Abstract
Highly flexible Jastrow factors have found significant use in stochastic electronic structure methods such as variational Monte Carlo (VMC) and diffusion Monte Carlo, as well as in quantum chemical transcorrelated (TC) approaches, which have recently seen great success in generating highly accurate electronic energies using moderately sized basis sets. In particular for the latter, the intrinsic noise in the Jastrow factor due to its optimisation by VMC can pose a problem, especially when targeting weak (non-covalent) interactions. In this paper, we propose a deterministic alternative to VMC Jastrow optimisation, based on minimising the "variance of the TC reference energy" in a standard basis set. Analytic expressions for the derivatives of the TC Hamiltonian matrix elements are derived and implemented. This approach can be used to optimise the parameters in the Jastrow functions,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Chemical Physics Studies · Machine Learning in Materials Science · Advanced Physical and Chemical Molecular Interactions
