In this paper, we propose a general analysis framework for inexact power
iteration, which can be used to efficiently solve high dimensional eigenvalue
problems arising from quantum many-body problems. Under the proposed framework,
we establish the convergence theorems for several recently proposed randomized
algorithms, including the full configuration interaction quantum Monte Carlo
(FCIQMC) and the fast randomized iteration (FRI). The analysis is consistent
with numerical experiments for physical systems such as Hubbard model and small
chemical molecules. We also compare the algorithms both in convergence analysis
and numerical results