  We propose an implementation of quantum neural networks using an array of
quantum dots with dipole-dipole interactions. We demonstrate that this
implementation is both feasible and versatile by studying it within the
framework of GaAs based quantum dot qubits coupled to a reservoir of acoustic
phonons. Using numerically exact Feynman integral calculations, we have found
that the quantum coherence in our neural networks survive for over a hundred ps
even at liquid nitrogen temperatures (77 K), which is three orders of magnitude
higher than current implementations which are based on SQUID-based systems
operating at temperatures in the mK range.
