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Author Lim, Sung Kyu ♦ Ravichandran, Ramprasad ♦ Niemier, Mike
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2005
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Nanotechnology ♦ Partitioning ♦ Placement ♦ Quantum-dot cellular automata
Abstract Quantum-dot Cellular Automata (QCA) is a novel computing mechanism that can represent binary information based on spatial distribution of an electron charge configuration in chemical molecules. In this article, we present the first partitioning and placement algorithm for automatic QCA layout. We identify several objectives and constraints that will enhance the buildability of QCA circuits. The results are intended to: (1) define what is computationally interesting and could actually be built within a set of predefined constraints, (2) project what designs will be possible as additional constructs become realizable, and (3) provide a vehicle that we can use to compare QCA systems to silicon-based systems.
ISSN 15504832
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2005-03-01
Publisher Place New York
e-ISSN 15504840
Journal ACM Journal on Emerging Technologies in Computing Systems (JETC)
Volume Number 1
Issue Number 1
Page Count 23
Starting Page 50
Ending Page 72

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Source: ACM Digital Library