Optimisation of quantum Monte Carlo wave function: steepest descent method
M. Ebrahim Foulaadvand, Mohammad Zarenia

TL;DR
This paper demonstrates that the steepest descent method effectively optimizes quantum Monte Carlo wave functions for various atoms, achieving results comparable to diffusion Monte Carlo and exact solutions.
Contribution
It introduces the application of the steepest descent method for wave function optimization in quantum Monte Carlo, with analytical derivatives and successful results for multiple atoms.
Findings
Steepest descent successfully minimizes wave functions.
Ground state energies agree with DMC and exact results.
Method applicable to multiple atomic systems.
Abstract
We have employed the steepest descent method to optimise the variational ground state quantum Monte Carlo wave function for He, Li, Be, B and C atoms. We have used both the direct energy minimisation and the variance minimisation approaches. Our calculations show that in spite of receiving insufficient attention, the steepest descent method can successfully minimise the wave function. All the derivatives of the trial wave function respect to spatial coordinates and variational parameters have been computed analytically. Our ground state energies are in a very good agreement with those obtained with diffusion quantum Monte Carlo method (DMC) and the exact results.
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.
