The calculation of excited state properties with quantum Monte Carlo
- 15 November 1988
- journal article
- Published by AIP Publishing in The Journal of Chemical Physics
- Vol. 89 (10) , 6316-6328
- https://doi.org/10.1063/1.455398
Abstract
A new Monte Carlo method for computing excited state properties of quantum systems is introduced. It is a generalization of the transient estimate method used for fermion Green’s function Monte Carlo and of subspace projection methods used for computing eigenstates of matrices. The time dependent autocorrelation function of a vector of trial functions is calculated for a random walk generated by the imaginary‐time Schrödinger equation and estimates of energy levels are determined by the eigenvalues of the matrix of correlation functions. This method is especially useful for treating states with the same symmetry as it automatically keeps higher states orthogonal to lower states. The estimated energy converges to the exact eigenvalue with a rate which decreases with increasing excitation energy, thus limiting the method to relatively low‐lying states. The method is zero variance in the sense that as better trial functions are introduced, the statistical error decreases to zero. The method has a nontrivial bias which is analyzed. As an illustration, the eigenvalues of a double well are computed.Keywords
This publication has 16 references indexed in Scilit:
- Optimized trial wave functions for quantum Monte Carlo calculationsPhysical Review Letters, 1988
- Ground state of solid hydrogen at high pressuresPhysical Review B, 1987
- Direct analysis of chemical relaxation signals by a method based on the combination of Laplace transform and Padé approximantsComputers & Chemistry, 1987
- The statistical error of green's function Monte CarloJournal of Statistical Physics, 1986
- Variational calculations of resonant states in 4HeNuclear Physics A, 1984
- Dynamic correlation functions in quantum systems: A Monte Carlo algorithmPhysical Review B, 1983
- Ground State of the Electron Gas by a Stochastic MethodPhysical Review Letters, 1980
- Symmetric decomposition of a positive definite matrixNumerische Mathematik, 1965
- A sampling method for determining the lowest eigenvalue and the principal eigenfunction of Schrodingers equationJournal of Research of the National Bureau of Standards, 1950
- Successive Approximations by the Rayleigh-Ritz Variation MethodPhysical Review B, 1933