  An outstanding problem in quantum computing is the calculation of
entanglement, for which no closed-form algorithm exists. Here we solve that
problem, and demonstrate the utility of a quantum neural computer, by showing,
in simulation, that such a device can be trained to calculate the entanglement
of an input state, something neither an algorithmic quantum computer nor a
classical neural net can do.
