  We suggest that the Quantum Honest Byzantine Agreement (QHBA) protocol [1]
essentially reduces consensus to coincidence. The volume of coincidence is the
parameter that drives a receiver to echo its input. A lack of coincidence
results in no output from a receiver. This is a similar mechanism therefore to
the learning mechanism in cognitive modular neural architectures like
Haikonen's architecture [2]. We introduce a simple feedback mechanism and
quantum neuron to realize a hybrid quantum / classical machine learning network
of simple nodes.
