This paper deals with the optimization of trial states for the computation of dominant eigenvalues of operators and very large matrices. In addition to preliminary results for the energy spectrum of van der Waals clusters, we review results of the application of this method to the computation of relaxation times of independent relaxation modes at the Ising critical point in two dimensions
Solving the Schrodinger equation and finding excited states for quantum mechanical many-body systems...
Over the past several decades, computational approaches to studying strongly-interacting systems hav...
We show that the standard Lanczos algorithm can be efficiently implemented statistically and self-co...
A quantum Monte Carlo method is introduced to optimize excited state trial wave functions. The metho...
This review covers applications of quantum Monte Carlo methods to quantum mechanical problems in the...
A quantum Monte Carlo method is introduced to optimize excited-state trial wave functions. The metho...
Conventional Quantum Monte Carlo methods, routinely used to compute properties of many-body quantum ...
Solving the Schrödinger equation and finding excited states for quantum mechanical many-body systems...
The Quantum Monte Carlo computation of the van der Waals cluster vibrational states involves heavy-d...
Conventional Quantum Monte Carlo methods, routinely used to compute properties of many-body quantum ...
We introduce a semistochastic implementation of the power method to compute, for very large matrices...
The problem of obtaining the smallest and the largest generalised eigenvalues using quasi Monte Carl...
We consider the task of spectral estimation of local quantum Hamiltonians. The spectral estimation i...
Featuring detailed explanations of the major algorithms used in quantum Monte Carlo simulations, thi...
We present a classical Monte Carlo (MC) scheme which efficiently estimates an imaginary-time, decayi...
Solving the Schrodinger equation and finding excited states for quantum mechanical many-body systems...
Over the past several decades, computational approaches to studying strongly-interacting systems hav...
We show that the standard Lanczos algorithm can be efficiently implemented statistically and self-co...
A quantum Monte Carlo method is introduced to optimize excited state trial wave functions. The metho...
This review covers applications of quantum Monte Carlo methods to quantum mechanical problems in the...
A quantum Monte Carlo method is introduced to optimize excited-state trial wave functions. The metho...
Conventional Quantum Monte Carlo methods, routinely used to compute properties of many-body quantum ...
Solving the Schrödinger equation and finding excited states for quantum mechanical many-body systems...
The Quantum Monte Carlo computation of the van der Waals cluster vibrational states involves heavy-d...
Conventional Quantum Monte Carlo methods, routinely used to compute properties of many-body quantum ...
We introduce a semistochastic implementation of the power method to compute, for very large matrices...
The problem of obtaining the smallest and the largest generalised eigenvalues using quasi Monte Carl...
We consider the task of spectral estimation of local quantum Hamiltonians. The spectral estimation i...
Featuring detailed explanations of the major algorithms used in quantum Monte Carlo simulations, thi...
We present a classical Monte Carlo (MC) scheme which efficiently estimates an imaginary-time, decayi...
Solving the Schrodinger equation and finding excited states for quantum mechanical many-body systems...
Over the past several decades, computational approaches to studying strongly-interacting systems hav...
We show that the standard Lanczos algorithm can be efficiently implemented statistically and self-co...