  We present a construction, rendered in Quipper, of a quantum algorithm which
probabilistically computes a classical function from n bits to n bits. The
construction is intended to be of interest primarily for the features of
Quipper it highlights. However, intrigued by the utility of quantum information
processing in the context of neural networks, we present the algorithm as a
simplest example of a particular quantum neural network which we first define.
As the definition is inspired by recent work of Fisher concerning possible
quantum substrates to cognition, we precede it with a short description of that
work.
