A Guided Differential Evolution Algorithm for Control Design of Quantum Gates

Shouliang Hu, Hailan Ma, Chunlin Chen

Abstract: Constructing high fidelity quantum gates is a key task in quantum information technology. Gradient-based methods (e.g., GRAPE) have been widely used for numerous implementations of quantum gate control tasks but are not practical for in-situ laboratory experiments. In this paper, for the design of optimal control fields for constructing quantum gates, we propose a Guided Differential Evolution (GDE) algorithm. Numerical results verify the effectiveness of the proposed GDE algorithm for the control design of quantum gates with short evolution time and few control pulses.