We suggest and implement a new Monte Carlo strategy for correlated models involving fermions strongly coupled to classical degrees of freedom, with accurate handling of quenched disorder as well. Current methods iteratively diagonalise the full Hamiltonian for a system of N sites with computation time τ N ∼N 4. This limits achievable sizes to N ∼100. In our method the energy cost of a Monte Carlo update is computed from the Hamiltonian of a cluster, of size N c, constructed around the reference site, and embedded in the larger system. As MC steps sweep over the system, the cluster Hamiltonian also moves, being reconstructed at each site where an update is attempted. In this method τ N,Nc ∼NN c 3 . Our results are obviously exact when N c=N,...
We examine methods to improve the major numerical difficulties in lattice field theory. Traditional ...
Among the wide range of their potential uses, Markov Chain Monte Carlo algorithms are an essential t...
We show that Monte Carlo sampling of the Feynman diagrammatic series (DiagMC) can be used for tackli...
We suggest and implement a new Monte Carlo strategy for correlated models involving fermions strongl...
We propose a modified coupled cluster Monte Carlo algorithm that stochastically samples connected te...
We propose a modified coupled cluster Monte Carlo algorithm that stochastically samples connected te...
The Hubbard model is the simplest many body Hamiltonian which describes the key elements of interact...
We consider a new formulation of the stochastic coupled cluster method in terms of the similarity tr...
This thesis will describe efforts to enhance our ability to simulate the 2D Hubbard model. Chapter ...
International audienceA novel Monte Carlo flat histogram algorithm is proposed to get the classical ...
We recently introduced the dynamical cluster approximation (DCA), a technique that includes short-ra...
<p>We consider a new formulation of the stochastic coupled cluster method in terms of the similarity...
A general scheme for devising efficient cluster dynamics proposed in a previous paper [Phys. Rev. Le...
Imperfections in correlated materials can alter their ground state as well as finite-temperature pro...
Recent research shows that the partition function for a class of models involving fermions can be wr...
We examine methods to improve the major numerical difficulties in lattice field theory. Traditional ...
Among the wide range of their potential uses, Markov Chain Monte Carlo algorithms are an essential t...
We show that Monte Carlo sampling of the Feynman diagrammatic series (DiagMC) can be used for tackli...
We suggest and implement a new Monte Carlo strategy for correlated models involving fermions strongl...
We propose a modified coupled cluster Monte Carlo algorithm that stochastically samples connected te...
We propose a modified coupled cluster Monte Carlo algorithm that stochastically samples connected te...
The Hubbard model is the simplest many body Hamiltonian which describes the key elements of interact...
We consider a new formulation of the stochastic coupled cluster method in terms of the similarity tr...
This thesis will describe efforts to enhance our ability to simulate the 2D Hubbard model. Chapter ...
International audienceA novel Monte Carlo flat histogram algorithm is proposed to get the classical ...
We recently introduced the dynamical cluster approximation (DCA), a technique that includes short-ra...
<p>We consider a new formulation of the stochastic coupled cluster method in terms of the similarity...
A general scheme for devising efficient cluster dynamics proposed in a previous paper [Phys. Rev. Le...
Imperfections in correlated materials can alter their ground state as well as finite-temperature pro...
Recent research shows that the partition function for a class of models involving fermions can be wr...
We examine methods to improve the major numerical difficulties in lattice field theory. Traditional ...
Among the wide range of their potential uses, Markov Chain Monte Carlo algorithms are an essential t...
We show that Monte Carlo sampling of the Feynman diagrammatic series (DiagMC) can be used for tackli...