“…Not surprisingly, therefore, the traditional head-on approach to the problem, in which the time evolution of the system state is first solved and only afterwards, for each point in time, the state entanglement is estimated, yields limited results. The necessary resources this strategy demands, both computationally and experimentally, pile up very rapidly with the system size, strongly restricting its application [6][7][8][9][10][11][12][13][14][15]. In recent years, however, new insight on the subject was gained from exploiting symmetries of the entanglement measures used, which led to the formulation of an efficient dynamical equations for entanglement in composite systems in which a single one of its constituents is coupled to a noisy channel [2][3][4], and opened a path to further generalizations [16].…”