  In this paper, we estimate the variance of two coupled paths derived with the
Multilevel Monte Carlo method combined with the Euler Maruyama discretization
scheme for the simulation of McKean-Vlasov stochastic differential equations
with small noise. The result often translates into a more efficient method than
the standard Monte Carlo method combined with algorithms tailored to the small
noise setting.
