  We prove non-asymptotic error bounds for Sequential MCMC methods in the case
of multimodal target distributions. Our bounds depend in an explicit way on
upper bounds on relative densities, on constants associated with local mixing
properties of the MCMC dynamics, namely, local spectral gaps and local
hyperboundedness, and on the amount of probability mass shifted between
effectively disconnected components of the state space.
