  We present a time-parallelization method that enables to accelerate the
computation of quantum optimal control algorithms. We show that this approach
is approximately fully efficient when based on a gradient method as
optimization solver: the computational time is approximately divided by the
number of available processors. The control of spin systems, molecular
orientation and Bose-Einstein condensates are used as illustrative examples to
highlight the wide range of application of this numerical scheme.
