Properties that are necessarily formulated within pure (symmetric) expectation values are difficult to calculate for projector quantum Monte Carlo approaches, but are critical in order to compute many of the important observable properties of electronic systems. Here, we investigate an approach for the sampling of unbiased reduced density matrices within the full configuration interaction quantum Monte Carlo dynamic, which requires only small computational overheads. This is achieved via an independent replica population of walkers in the dynamic, sampled alongside the original population. The resulting reduced density matrices are free from systematic error (beyond those present via constraints on the dynamic itself) and can be used to com...
This thesis is concerned with the development of a Projector Quantum Monte Carlo method for non-lin...
Trial wave function based quantum Monte Carlo is a promising family of methods for the solution of q...
This thesis details four research projects related to zero temperature quantum Monte Carlo. Chapters...
Unbiased stochastic sampling of the one- and two-body reduced density matrices is achieved in full c...
We present a quantum Monte Carlo method capable of sampling the full density matrix of a many-partic...
We expand upon the recent semi-stochastic adaptation to full configuration interaction quantum Monte...
International audienceWe analyze the accuracy and sample complexity of variational Monte Carlo appro...
In this work, we present a method to build a first order reduced density matrix (1-RDM) of a molecul...
We investigate the use of different variational principles in quantum Monte Carlo, namely, energy an...
In this work, we present a method to build a first order reduced density matrix (1-RDM) of a molecul...
The density matrix quantum Monte Carlo (DMQMC) set of methods stochastically samples the exact $N$-b...
Over the past several decades, computational approaches to studying strongly-interacting systems hav...
In this thesis we investigate the recently developed Full Configuration Interaction Quantum Monte Ca...
After reviewing previously published techniques, a new algorithm is presented for optimising variabl...
The recently developed density matrix quantum Monte Carlo (DMQMC) algorithm stochastically samples t...
This thesis is concerned with the development of a Projector Quantum Monte Carlo method for non-lin...
Trial wave function based quantum Monte Carlo is a promising family of methods for the solution of q...
This thesis details four research projects related to zero temperature quantum Monte Carlo. Chapters...
Unbiased stochastic sampling of the one- and two-body reduced density matrices is achieved in full c...
We present a quantum Monte Carlo method capable of sampling the full density matrix of a many-partic...
We expand upon the recent semi-stochastic adaptation to full configuration interaction quantum Monte...
International audienceWe analyze the accuracy and sample complexity of variational Monte Carlo appro...
In this work, we present a method to build a first order reduced density matrix (1-RDM) of a molecul...
We investigate the use of different variational principles in quantum Monte Carlo, namely, energy an...
In this work, we present a method to build a first order reduced density matrix (1-RDM) of a molecul...
The density matrix quantum Monte Carlo (DMQMC) set of methods stochastically samples the exact $N$-b...
Over the past several decades, computational approaches to studying strongly-interacting systems hav...
In this thesis we investigate the recently developed Full Configuration Interaction Quantum Monte Ca...
After reviewing previously published techniques, a new algorithm is presented for optimising variabl...
The recently developed density matrix quantum Monte Carlo (DMQMC) algorithm stochastically samples t...
This thesis is concerned with the development of a Projector Quantum Monte Carlo method for non-lin...
Trial wave function based quantum Monte Carlo is a promising family of methods for the solution of q...
This thesis details four research projects related to zero temperature quantum Monte Carlo. Chapters...