Yield optimization of high frequency superconducting digital circuits with genetic algorithms

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dc.contributor.authorFourie C.J.
dc.contributor.authorPerold W.J.
dc.date.accessioned2011-05-15T16:00:42Z
dc.date.available2011-05-15T16:00:42Z
dc.date.issued2003
dc.description.abstractEven simple superconducting logic gates can contain tens of inductors, resistors and Josephson junctions. In order to increase the yield and reliability of such suboptimal circuits to acceptable levels, it is often needed to adjust all the element values. The search space is therefore very large, and genetic algorithms have been used with remarkable success to optimize such gates. Copyright © 2002 IEEE.
dc.description.versionConference Paper
dc.identifier.citationTransactions of the South African Institute of Electrical Engineers
dc.identifier.citation94
dc.identifier.citation2
dc.identifier.issn382221
dc.identifier.urihttp://hdl.handle.net/10019.1/11837
dc.subjectElectric inductors
dc.subjectGenetic algorithms
dc.subjectLogic gates
dc.subjectOptimization
dc.subjectProblem solving
dc.subjectResistors
dc.subjectSuperconducting devices
dc.subjectSwitching
dc.subjectComplementary output switching logic (COSL)
dc.subjectSuboptimal circuits
dc.subjectSuperconducting electronics
dc.subjectYield optimization
dc.subjectDigital circuits
dc.titleYield optimization of high frequency superconducting digital circuits with genetic algorithms
dc.typeConference Paper
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