  Quantitative limit theorems for non-linear functionals on the Wiener space
are considered. Given the possibly infinite sequence of kernels of the chaos
decomposition of such a functional, an estimate for different probability
distances between the functional and a Gaussian random variable in terms of
contraction norms of these kernels is derived. The applicability of this result
is demonstrated by means of the Breuer-Major theorem, unfolding thereby a new
connection between the Hermite rank of the considered function and a chaotic
gap. Especially, power variations of the fractional Brownian motion and
processes belonging to the Cauchy class are studied.
