  We investigate the applicability of Quasi-Monte Carlo methods to Euclidean
lattice systems for quantum mechanics in order to improve the asymptotic error
behavior of observables for such theories. In most cases the error of an
observable calculated by averaging over random observations generated from an
ordinary Markov chain Monte Carlo simulation behaves like N^{-1/2}, where N is
the number of observations. By means of Quasi-Monte Carlo methods it is
possible to improve this behavior for certain problems to N^{-1}, or even
further if the problems are regular enough. We adapted and applied this
approach to simple systems like the quantum harmonic and anharmonic oscillator
and verified an improved error scaling.
