Recurrent Quantum Neural Network and its Applications

Abstract

Although the biological body consists of many individual parts or agents, our experience is holistic. We suggest that collective response behavior is a key feature in intelligence. A nonlinear Schrödinger wave equation is used to model collective response behavior. It is shown that such a paradigm can naturally make a model more intelligent. This aspect has been demonstrated through an application — intelligent filtering — where complex signals are denoised without any a priori knowledge about either signal or noise. Such a paradigm has also helped us to model eye-tracking behavior. Experimental observations such as saccadic and smooth-pursuit eye-movement behavior have been successfully predicted by this model.