Robustness of optimal quantum annealing protocols

Abstract Noise in quantum computing devices poses a key challenge in their realization. In this paper, we study the robustness of optimal quantum annealing (QA) protocols against coherent control errors, which are multiplicative Hamiltonian errors causing detrimental effects on current quantum devices. We show that the norm of the Hamiltonian quantifies the robustness against these errors, motivating the introduction of an additional regularization term in the cost function. We analyze the optimality conditions of the resulting robust quantum optimal control problem based on Pontryagin’s maximum principle, showing that robust protocols admit larger smooth annealing sections. This suggests that QA admits improved robustness in comparison to bang-bang solutions such as the quantum approximate optimization algorithm. Finally, we perform numerical simulations to verify our analytical results and demonstrate the improved robustness of the proposed approach.

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Publication Details

Journal
New Journal of Physics
Published
2024-09-01
DOI
https://doi.org/10.1088/1367-2630/ad7b6b
Citations
2
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.69

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article

Robustness of optimal quantum annealing protocols

Niklas Funcke, Julian Berberich
2 citations
New Journal of Physics
Quantum Computing Algorithms and Architecture
0.69
article

Robustness of optimal quantum annealing protocols

Niklas Funcke, Julian Berberich
article en
2 citations

Abstract

Abstract Noise in quantum computing devices poses a key challenge in their realization. In this paper, we study the robustness of optimal quantum annealing (QA) protocols against coherent control errors, which are multiplicative Hamiltonian errors causing detrimental effects on current quantum devices. We show that the norm of the Hamiltonian quantifies the robustness against these errors, motivating the introduction of an additional regularization term in the cost function. We analyze the optimality conditions of the resulting robust quantum optimal control problem based on Pontryagin’s maximum principle, showing that robust protocols admit larger smooth annealing sections. This suggests that QA admits improved robustness in comparison to bang-bang solutions such as the quantum approximate optimization algorithm. Finally, we perform numerical simulations to verify our analytical results and demonstrate the improved robustness of the proposed approach.

New Journal of PhysicsVol. 26(9)
University of Stuttgart (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 24%
Quantum Computing Algorithms and Architecture
0.69
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