  The Iterative Quasi-Monte Carlo method, or iQMC, replaces standard quadrature
techniques used in deterministic linear solvers with Quasi-Monte Carlo
simulation for more accurate and efficient solutions to the neutron transport
equation. This work explores employing iQMC in the Monte-Carlo Dynamic Code
(MCDC) to solve k-eigenvalue problems for neutron transport with both the
standard power iteration and the generalized Davidson method, a Krylov Subspace
method. Results are verified with the 3-D, 2-group, Takeda-1 Benchmark problem.
