Neuromorphic Pattern Recognition Using SET Technology

Based on the nano-scale devices subsume a profound understanding of the complex dynamics of small arrays of quantum structures, we propose a novel approach to signal pattern analysis using an array of quantum dots (QD) operating at single electron tunneling (SET) state. Such arrays produce bistable and multi-stable robust behavior, which can be harnessed for unconventional, yet powerful computational concepts. Our methodology combines an ultra fast neuromorphic learning algorithm with photon-assisted tunneling in the QD array. The latter enables emulation of the plasticity of neural synapses