  We analyze the Markovian and non-Markovian stochastic quantization methods
for a complex action quantum mechanical model analog to a Maxwell-Chern-Simons
eletrodynamics in Weyl gauge. We show through analytical methods convergence to
the correct equilibrium state for both methods. Introduction of a memory kernel
generates a non-Markovian process which has the effect of slowing down
oscillations that arise in the Langevin-time evolution toward equilibrium of
complex action problems. This feature of non-Markovian stochastic quantization
might be beneficial in large scale numerical simulations of complex action
field theories on a lattice.
