On using genetic algorithms to optimize high frequency superconducting digital circuits for optimal yield

Fourie C.J. ; Perold W.J. (2002)

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 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.

Please refer to this item in SUNScholar by using the following persistent URL: http://hdl.handle.net/10019.1/8718
This item appears in the following collections: