DocumentCode :
2927953
Title :
On using genetic algorithms to optimize high frequency superconducting digital circuits for optimal yield
Author :
Fourie, CJ ; Perold, WJ
Author_Institution :
Stellenbosch Univ., South Africa
Volume :
2
fYear :
2002
fDate :
2-4 Oct. 2002
Firstpage :
505
Abstract :
Even simple superconducting logic gates can contain tens of inductors, resistors and Josephson junctions. In order to increase the yield and reliability of such 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.
Keywords :
circuit optimisation; genetic algorithms; logic gates; superconducting logic circuits; genetic algorithm; high-frequency superconducting digital circuit; reliability; superconducting logic gate; yield optimization; Digital circuits; Frequency; Genetic algorithms; Josephson junctions; Latches; Logic circuits; Logic gates; Pulse circuits; Superconducting logic circuits; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Africon Conference in Africa, 2002. IEEE AFRICON. 6th
Print_ISBN :
0-7803-7570-X
Type :
conf
DOI :
10.1109/AFRCON.2002.1159959
Filename :
1159959
Link To Document :
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