  We review the method of stochastic error correction which eliminates the
truncation error associated with any subspace diagonalization. Monte Carlo
sampling is used 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.
