Yield optimization of high frequency superconducting digital circuits with genetic algorithms

Fourie C.J. ; Perold W.J. (2003)

Conference Paper

Even 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.

Please refer to this item in SUNScholar by using the following persistent URL: http://hdl.handle.net/10019.1/11837
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