Quantum cellular neural networks: A theoretical model.

Title: Quantum cellular neural networks: A theoretical model.
Identifier: AAI9959225
identifier: 9959225
Creator: Saylani, Najib.
Contributor: Adviser: Christina M. Zamfirescu
Date: 2000
Language: English
Publisher: City University of New York.
Subject: Computer Science
Abstract: We propose a new theoretical model of Artificial Neural Networks (ANN'S) based on well established ideas in the field of Cellular Automata (CA), the field of Quantum Mechanics (QM) in general, and the field of Quantum Electrodynamic (QED) in particular. The model uses a new architecture where neurons (nodes or units) are located within a 3-D cubic lattice. The connections between the nodes are well defined. The input to the model is a set of patterns encoded as waves packets propagating across the whole set of nodes. The propagation of those waves is analogous to the process of waves scattering across a set of potentials (here potentials exist at the level of each node). Storage and retrieval in this model is based on 3-D scattering. A node behaves as a quantum harmonic oscillator, a feature by which a propagating wave would leave a piece of information it encodes as a set of oscillations at the node level.
Type: dissertation
Source: PQT Legacy CUNY.xlsx
degree: Ph.D.