Created by W.Langdon from gp-bibliography.bib Revision:1.8051
The first contribution looks at integrating an existing classical method into the quantum model. This is done through the application of a Genetic Improvement algorithm. The second contribution looks at modeling the quantum compilation problem in a way compatible with a classical model. This is done through the generation of a Planning Domain Definition Language (PDDL) model. The third and final contribution looks at simplifying the building of a compilation stack. This is done by using a neural network to make decisions about what steps to add to the compilation stack.
The results of this show a set of automated methods that produce error rates competitive with the standard quantum compilation methods. In addition, these methods require much less expertise about specific quantum hardware or the quantum compilation stack and are built to be compatible with the current IBM Quantum Experience software stack.",
Genetic Programming entries for George O'Brien