Title :
Towards nanoelectronics: possible CNN implementations using nanoelectronic devices
Author_Institution :
Dept. of Electr. Eng., Notre Dame Univ., IN, USA
Abstract :
We discuss novel nanoelectronic architecture paradigms based on cells composed of coupled quantum-dots. Boolean logic functions may be implemented in specific arrays of cells representing binary information, the so-called quantum-dot cellular automata (QCA). Cells may also be viewed as carrying analog information and we outline a network-theoretic description of such quantum-dot nonlinear networks (Q-CNN). In addition, we discuss possible realizations of these structures in a variety of semiconductor systems, rings of metallic tunnel junctions, and candidates for molecular implementations
Keywords :
Boolean functions; cellular neural nets; molecular electronics; nanotechnology; quantum interference devices; semiconductor quantum dots; Boolean logic functions; Q-CNN; QCA; analog information; cellular neural nets; metallic tunnel junction rings; molecular implementations; nanoelectronic architecture paradigms; quantum-dot cellular automata; quantum-dot nonlinear networks; semiconductor systems; Cellular neural networks; Electrons; Fabrication; Integrated circuit interconnections; Nanoelectronics; Nanostructures; Quantum cellular automata; Quantum computing; Quantum dots; Silicon;
Conference_Titel :
Cellular Neural Networks and Their Applications Proceedings, 1998 Fifth IEEE International Workshop on
Conference_Location :
London
Print_ISBN :
0-7803-4867-2
DOI :
10.1109/CNNA.1998.685323
