Yield optimization of high frequency superconducting digital circuits with genetic algorithms

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 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.Conference Pape