We derive new quantum Monte Carlo (QMC) estimators for the electronic density at the position of a point nucleus using the zero-variance and zero-bias principles. The resulting estimators are highly efficient, and are significantly simpler to implement and use than alternative methods, as they contain no adjustable parameters. In addition, they can be used in both variational and diffusion QMC calculations. Our best estimator is used to calculate the most accurate available estimates of the total electron density at the nucleus for the first-row atoms Li-Ne, the Ar atom, and the diatomic molecules B2, N2, and F2
This thesis details four research projects related to zero temperature quantum Monte Carlo. Chapters...
We report all-electron and pseudopotential calculations of the ground-state energies of the neutral ...
Trial wave function based quantum Monte Carlo is a promising family of methods for the solution of q...
A simple and stable method for computing accurate expectation values of observable with Variational ...
The computational performance of two different variational quantum Monte Carlo estimators for both t...
This thesis is concerned with the development and application of quantum Monte Carlo (QMC) methods f...
Quantum Monte Carlo (QMC) methods can yield highly accurate energies for correlated quantum systems...
Quantum Monte Carlo (QMC) methods are among the most accurate for computing ground state properties ...
Properties that are necessarily formulated within pure (symmetric) expectation values are difficult ...
The work in this thesis is concerned with the application and development of quantum Monte Carlo (Q...
Density matrix theory is implemented in a variational quantum Monte Carlo computation of electronic ...
Two distinct types of Quantum Monte Carlo (QMC) calculations are applied to electronic structure pro...
We attempt to overcome one of the shortcomings in the Thomas-Fermi and related theories for atoms by...
Variational quantum Monte Carlo ground-state electron densities have first been obtained for N2 at i...
Quantum Monte Carlo (QMC) is one of the most promising methods for solving quantum many-body proble...
This thesis details four research projects related to zero temperature quantum Monte Carlo. Chapters...
We report all-electron and pseudopotential calculations of the ground-state energies of the neutral ...
Trial wave function based quantum Monte Carlo is a promising family of methods for the solution of q...
A simple and stable method for computing accurate expectation values of observable with Variational ...
The computational performance of two different variational quantum Monte Carlo estimators for both t...
This thesis is concerned with the development and application of quantum Monte Carlo (QMC) methods f...
Quantum Monte Carlo (QMC) methods can yield highly accurate energies for correlated quantum systems...
Quantum Monte Carlo (QMC) methods are among the most accurate for computing ground state properties ...
Properties that are necessarily formulated within pure (symmetric) expectation values are difficult ...
The work in this thesis is concerned with the application and development of quantum Monte Carlo (Q...
Density matrix theory is implemented in a variational quantum Monte Carlo computation of electronic ...
Two distinct types of Quantum Monte Carlo (QMC) calculations are applied to electronic structure pro...
We attempt to overcome one of the shortcomings in the Thomas-Fermi and related theories for atoms by...
Variational quantum Monte Carlo ground-state electron densities have first been obtained for N2 at i...
Quantum Monte Carlo (QMC) is one of the most promising methods for solving quantum many-body proble...
This thesis details four research projects related to zero temperature quantum Monte Carlo. Chapters...
We report all-electron and pseudopotential calculations of the ground-state energies of the neutral ...
Trial wave function based quantum Monte Carlo is a promising family of methods for the solution of q...