QMCPACK: an open source ab initio quantum Monte Carlo package for the electronic structure of atoms, molecules and solids

J Kim, AD Baczewski, TD Beaudet… - Journal of Physics …, 2018 - iopscience.iop.org
QMCPACK is an open source quantum Monte Carlo package for ab initio electronic
structure calculations. It supports calculations of metallic and insulating solids, molecules …

A promising intersection of excited‐state‐specific methods from quantum chemistry and quantum Monte Carlo

L Otis, E Neuscamman - Wiley Interdisciplinary Reviews …, 2023 - Wiley Online Library
We present a discussion of recent progress in excited‐state‐specific quantum chemistry and
quantum Monte Carlo alongside a demonstration of how a combination of methods from …

Ground-state properties of the hydrogen chain: dimerization, insulator-to-metal transition, and magnetic phases

M Motta, C Genovese, F Ma, ZH Cui, R Sawaya… - Physical Review X, 2020 - APS
Accurate and predictive computations of the quantum-mechanical behavior of many
interacting electrons in realistic atomic environments are critical for the theoretical design of …

The shape of full configuration interaction to come

JJ Eriksen - The Journal of Physical Chemistry Letters, 2020 - ACS Publications
We present a Perspective on what the future holds for full configuration interaction (FCI)
theory, with an emphasis on conceptual rather than technical details. Upon revisiting the …

Optimization of large determinant expansions in quantum Monte Carlo

A Ammar, E Giner, A Scemama - Journal of Chemical Theory and …, 2022 - ACS Publications
We present a new method for the optimization of large configuration interaction (CI)
expansions in the quantum Monte Carlo (QMC) framework. The central idea here is to …

Quantum algorithms for the variational optimization of correlated electronic states with stochastic reconfiguration and the linear method

M Motta, KJ Sung, J Shee - The Journal of Physical Chemistry A, 2024 - ACS Publications
Solving the electronic Schrodinger equation for strongly correlated ground states is a long-
standing challenge. We present quantum algorithms for the variational optimization of wave …

A Kaczmarz-inspired approach to accelerate the optimization of neural network wavefunctions

G Goldshlager, N Abrahamsen, L Lin - arXiv preprint arXiv:2401.10190, 2024 - arxiv.org
Neural network wavefunctions optimized using the variational Monte Carlo method have
been shown to produce highly accurate results for the electronic structure of atoms and …

Excited state specific multi-Slater Jastrow wave functions

SD Pineda Flores, E Neuscamman - The Journal of Physical …, 2019 - ACS Publications
We combine recent advances in excited state variational principles, fast multi-Slater Jastrow
methods and selective configuration interaction, to create multi-Slater Jastrow wave function …

Tracking excited states in wave function optimization using density matrices and variational principles

LN Tran, JAR Shea… - Journal of chemical theory …, 2019 - ACS Publications
We present a method for finding individual excited states' energy stationary points in
complete active space self-consistent field theory that is compatible with standard …

A hybrid approach to excited-state-specific variational Monte Carlo and doubly excited states

L Otis, IM Craig, E Neuscamman - The Journal of Chemical Physics, 2020 - pubs.aip.org
We extend our hybrid linear-method/accelerated-descent variational Monte Carlo
optimization approach to excited states and investigate its efficacy in double excitations. In …