Abstract mVMC (many-variable Variational Monte Carlo) is an open-source software
package based on the variational Monte Carlo method applicable for a wide range of …

Quantum spin systems may offer the first opportunities for beyond-classical quantum
computations of scientific interest. While general quantum simulation algorithms likely …

Using a variational Monte Carlo method, we study the competition of strong electron-
electron and electron-phonon interactions in the ground state of the Holstein-Hubbard …

In this work, we introduce three algorithmic improvements to reduce the cost and improve
the scaling of orbital space variational Monte Carlo (VMC). First, we show that, by …

We use the variational quantum eigensolver (VQE) to simulate Kitaev spin models with and
without integrability-breaking perturbations, focusing in particular on the honeycomb and …

We consider wavefunctions built from antisymmetrized products of two‐electron
wavefunctions (geminals), which is arguably the simplest extension of the antisymmetrized …

We extend our low-scaling variational Monte Carlo (VMC) algorithm to optimize the
symmetry-projected Jastrow mean-field (SJMF) wave functions. These wave functions …

Although the linear method is one of the most robust algorithms for optimizing nonlinearly
parametrized wavefunctions in variational Monte Carlo, it suffers from a memory bottleneck …

Fanpy is a free and open‐source Python library for develo** and testing multideterminant
wavefunctions and related ab initio methods in electronic structure theory. The main use of …

A new computational method for finite-temperature properties of strongly correlated
electrons is proposed by extending the variational Monte Carlo method originally developed …