A Guided Differential Evolution Algorithm for Control Design of Quantum Gates

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 o...

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Bibliographic Details
Main Authors: Hu, Shouliang, Ma, Hailan, Chen, Chunlin
Format: Conference Proceeding
Language:English
Subjects:
Conferences
Control design
Logic gates
Optimal control
Pipelines
Quantum system
Task analysis
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Summary: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.
ISSN:2577-1655
DOI:10.1109/SMC52423.2021.9659044