Title
Analysis of missing and additional cell defects in sequential quantum-dot cellular automata
Abstract
The defect characterization of sequential devices and circuits, implemented by molecular quantum-dot cellular automata (QCA), is analyzed in this paper. A RS-type flip-flop is first introduced; this flip-flop takes into account the timing issues associated with the adiabatic switching of this technology and its requirements. It is then shown that a D-type flip-flop can be constructed with an embedded QCA wire which extends over multiple clocking zones. The logic-level characterization of both flip-flop devices is provided. A single additional and missing cell defect model is assumed for molecular implementation. For sequential circuits, defect characterization is pursued. It is shown that defects affect the functionality of basic QCA devices, resulting mostly in unwanted inversion and majority voter acting as a wire at logic level. In this paper, it is shown that a device-level characterization of the defects and faults can be consistently extended to a circuit-level analysis.
Year
DOI
Venue
2007
10.1016/j.vlsi.2006.08.001
Integration
Keywords
Field
DocType
sequential quantum-dot cellular automaton,missing cell defect model,molecular implementation,device-level characterization,rs-type flip-flop,embedded qca wire,logic-level characterization,defect characterization,basic qca device,flip-flop device,additional cell defect,d-type flip-flop,bistable,quantum dot cellular automata,logic circuit,sequential circuit,sequential circuits,quantum electronics,nanoelectronics,cellular automaton,emerging technology,molecular electronics,quantum dot,switching,defect,network analysis,implementation
Molecular electronics,Nanoelectronics,Cellular automaton,Logic gate,Sequential logic,Computer science,Quantum dot cellular automaton,Algorithm,Electronic engineering,Logic level,Network analysis
Journal
Volume
Issue
ISSN
40
4
Integration, the VLSI Journal
Citations 
PageRank 
References 
13
0.83
6
Authors
3
Name
Order
Citations
PageRank
J. Huang1322.57
M. Momenzadeh2806.74
F. Lombardi323224.13