Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Journal of the Franklin Institute

Two-step robust control design of quantum gates via differential evolution

Shouliang Hu, Hailan Ma, Daoyi Dong, Chunlin Chen

Published Jun 20, 2022• 2 citations
Publisher
DOI
10.1016/j.jfranklin.2022.06.014

Related papers

Differential Evolution with Equally-Mixed Strategies for Robust Control of Open Quantum Systems

Hailan Ma, Chunlin Chen, Daoyi Dong

Robust control of open quantum systems from one state to another is much more difficult than closed quantum systems as a result of system-environment interactions. In this paper, we adopt the sampling-based learning control approach with the motivation of utilizing some artificial samples instead of unknown uncertainties to design an optimal control field against parameter fluctuations. To enhance the learning performance, we introduce an improved differential evolution (DE) algorithm with equally-mixed strategies in the training step of the control design for open quantum systems. Numerical results verify the effectiveness of the proposed equally-mixed strategies DE (EMSDE) algorithm regarding the control design for open quantum systems with uncertainties.

Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics•Oct 1, 2015•16 citations

Optimal Control and Circuit Synthesis of Quantum Gates

Hyeong-Jin Kim

•Jan 1, 2021•0 citations

Optimizing Robust Quantum Gates in Open Quantum Systems

Fach Physik

•Jan 1, 2015•8 citations

A Guided Differential Evolution Algorithm for Control Design of Quantum Gates

Shouliang Hu, Hailan Ma, Chunlin Chen

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.

Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics•Oct 17, 2021•1 citation

Holonomic quantum computation

Clara Wassner, Tommaso Guaita, Jens Eisert +1 more

Holonomic quantum computation exploits the geometric evolution of eigenspaces of a degenerate Hamiltonian to implement unitary evolution of computational states. In this work we introduce a framework for performing scalable quantum computation in atom experiments through a universal set of fully holonomic adiabatic gates. Through a detailed differential geometric analysis, we elucidate the geometric nature of these gates and their inherent robustness against classical control errors and other noise sources. The concepts that we introduce here are expected to be widely applicable to the understanding and design of error robustness in generic holonomic protocols. To underscore the practical feasibility of our approach, we contextualize our gate design within recent advancements in Rydberg-based quantum computing and simulation.

•Jan 1, 2026•0 citations

Sixth-order robust gates for quantum control (4 pages)

D. Mc Hugh, Jason Twamley

Physical Review A•Jan 1, 2005•2 citations
Robust control of open quantum systems from one state to another is much more difficult than closed quantum systems as a result of system-environment interactions. In this paper, we adopt the sampling-based learning control approach with the motivation of utilizing some artificial samples instead of unknown uncertainties to design an optimal control field against parameter fluctuations. To enhance the learning performance, we introduce an improved differential evolution (DE) algorithm with equally-mixed strategies in the training step of the control design for open quantum systems. Numerical results verify the effectiveness of the proposed equally-mixed strategies DE (EMSDE) algorithm regarding the control design for open quantum systems with uncertainties.
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.
Holonomic quantum computation exploits the geometric evolution of eigenspaces of a degenerate Hamiltonian to implement unitary evolution of computational states. In this work we introduce a framework for performing scalable quantum computation in atom experiments through a universal set of fully holonomic adiabatic gates. Through a detailed differential geometric analysis, we elucidate the geometric nature of these gates and their inherent robustness against classical control errors and other noise sources. The concepts that we introduce here are expected to be widely applicable to the understanding and design of error robustness in generic holonomic protocols. To underscore the practical feasibility of our approach, we contextualize our gate design within recent advancements in Rydberg-based quantum computing and simulation.