  The role of interference and entanglement in quantum neural processing is
discussed. It is argued that on contrast to the quantum computing the problem
of the use of exponential resources as the payment for the absense of
entanglement does not exist for quantum neural processing. This is because of
corresponding systems, as any modern classical artificial neural systems, do
not realize functions precisely, but approximate them by training on small sets
of examples. It can permit to implement quantum neural systems optically,
because in this case there is no need in exponential resources of optical
devices (beam-splitters etc.). On the other hand, the role of entanglement in
quantum neural processing is still very important, because it actually
associates qubit states: this is necessary feature of quantum neural memory
models.
