Group leaders optimization algorithm

Abstract

We present a new global optimization algorithm in which the influence of the leaders in social groups is used as an inspiration for the evolutionary technique which is designed into a group architecture. To demonstrate the efficiency of the method, a standard suite of single and multi-dimensional optimization functions along with the energies and the geometric structures of Lennard-Jones clusters are given as well as the application of the algorithm on quantum circuit design problems. We show that as an improvement over previous methods, the algorithm scales as N ^2.5 for the Lennard-Jones clusters of N-particles. In addition, an efficient circuit design is shown for a two-qubit Grover search algorithm which is a quantum algorithm providing quadratic speedup over the classical counterpart.

Keywords:

• optimization
• quantum circuits
• evolutionary algorithms
• Lennard-Jones clusters

Acknowledgements

We would like to thank the Army Research Office (ARO) and the NSF Center for Quantum Information and Computation for Chemistry, award number CHE-1037992, for financial support of this project.