Development of exponentially scaling methods has seen great progress in tackling larger systems than previously thought possible. One such technique, full configuration interaction quantum Monte Carlo, is a useful algorithm that allows exact diagonalization through stochastically sampling determinants. The method derives its utility from the information in the matrix elements of the Hamiltonian, along with a stochastic projected wave function, to find the important parts of Hilbert space. However, the stochastic representation of the wave function is not required to search Hilbert space efficiently, and here we describe a highly efficient deterministic method that can achieve chemical accuracy for a wide range of systems, including the diff...
We investigate the performance of a class of compact and systematically improvable Jastrow-Slater wa...
We present a new approach to calculate excited states with the full configuration interaction quantu...
Quantum Monte Carlo (QMC) is one of the most promising methods for solving quantum many-body proble...
Development of exponentially scaling methods has seen great progress in tackling larger systems than...
In this thesis we investigate the recently developed Full Configuration Interaction Quantum Monte Ca...
International audienceWe present a new method for the optimization of large configuration interactio...
In the last decade, stochastic versions of quantum chemistry methods such as coupled cluster Monte C...
In this dissertation, I present my original research in the development of algorithms for computing ...
This thesis details four research projects related to zero temperature quantum Monte Carlo. Chapters...
The recently proposed stochastic diagonalization method is applied to the ab initio quantum chemistr...
We expand upon the recent semi-stochastic adaptation to full configuration interaction quantum Monte...
We present a stable and systematically improvable quantum Monte Carlo (QMC) approach to calculating ...
With the development of peta-scale computers and exa-scale only a few years away, the quantum Monte ...
Quantum Monte Carlo (QMC) methods have been found to give excellent results when applied to chemical...
A new selected configuration interaction (CI) method was proposed for the potential energy surfaces ...
We investigate the performance of a class of compact and systematically improvable Jastrow-Slater wa...
We present a new approach to calculate excited states with the full configuration interaction quantu...
Quantum Monte Carlo (QMC) is one of the most promising methods for solving quantum many-body proble...
Development of exponentially scaling methods has seen great progress in tackling larger systems than...
In this thesis we investigate the recently developed Full Configuration Interaction Quantum Monte Ca...
International audienceWe present a new method for the optimization of large configuration interactio...
In the last decade, stochastic versions of quantum chemistry methods such as coupled cluster Monte C...
In this dissertation, I present my original research in the development of algorithms for computing ...
This thesis details four research projects related to zero temperature quantum Monte Carlo. Chapters...
The recently proposed stochastic diagonalization method is applied to the ab initio quantum chemistr...
We expand upon the recent semi-stochastic adaptation to full configuration interaction quantum Monte...
We present a stable and systematically improvable quantum Monte Carlo (QMC) approach to calculating ...
With the development of peta-scale computers and exa-scale only a few years away, the quantum Monte ...
Quantum Monte Carlo (QMC) methods have been found to give excellent results when applied to chemical...
A new selected configuration interaction (CI) method was proposed for the potential energy surfaces ...
We investigate the performance of a class of compact and systematically improvable Jastrow-Slater wa...
We present a new approach to calculate excited states with the full configuration interaction quantu...
Quantum Monte Carlo (QMC) is one of the most promising methods for solving quantum many-body proble...