  We propose a method for eliminating the truncation error associated with any
subspace diagonalization calculation. The new method, called stochastic error
correction, uses Monte Carlo sampling to compute the contribution of the
remaining basis vectors not included in the initial diagonalization. The method
is part of a new approach to computational quantum physics which combines both
diagonalization and Monte Carlo techniques.
