  Open Quantum Random Walks, as developed in \cite{APSS}, are a quantum
generalization of Markov chains on finite graphs or on lattices. These random
walks are typically quantum in their behavior, step by step, but they seem to
show up a rather classical asymptotic behavior, as opposed to the quantum
random walks usually considered in Quantum Information Theory (such as the
well-known Hadamard random walk). Typically, in the case of Open Quantum Random
Walks on lattices, their distribution seems to always converge to a Gaussian
distribution or a mixture of Gaussian distributions. In the case of nearest
neighbors homogeneous Open Quantum Random Walks on $\ZZ^d$ we prove such a
Central Limit Theorem, in the case where only one Gaussian distribution appears
in the limit. Through the quantum trajectory point of view on quantum master
equations, we transform the problem into studying a certain functional of a
Markov chain on $\ZZ^d$ times the Banach space of quantum states. The main
difficulty is that we know nothing about the invariant measures of this Markov
chain, even their existence. Surprisingly enough, we are able to produce a
Central Limit Theorem with explicit drift and explicit covariance matrix. The
interesting point which appears with our construction and result is that it
applies actually to a wider setup: it provides a Central Limit Theorem for the
sequence of recordings of the quantum trajectories associated to any completely
positive map. This is what we show and develop as an application of our result.
  In a second step we are able to extend our Central Limit Theorem to the case
of several asymptotic Gaussians, in the case where the operator coefficients of
the quantum walk are block-diagonal in a common basis.
