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Multi-Objective Mobile Damped Wave Algorithm (MOMDWA): A Novel Approach For Quantum System Control

6 February 2025
Juntao Yu
Jiaquan Yu
Dedai Wei
Xinye Sha
Shengwei Fu
Miuyu Qiu
Yurun Jin
Kaichen Ouyang
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Abstract

In this paper, we introduce a novel multi-objective optimization algorithm, the Multi-Objective Mobile Damped Wave Algorithm (MOMDWA), specifically designed to address complex quantum control problems. Our approach extends the capabilities of the original Mobile Damped Wave Algorithm (MDWA) by incorporating multiple objectives, enabling a more comprehensive optimization process. We applied MOMDWA to three quantum control scenarios, focusing on optimizing the balance between control fidelity, energy consumption, and control smoothness. The results demonstrate that MOMDWA significantly enhances quantum control efficiency and robustness, achieving high fidelity while minimizing energy use and ensuring smooth control pulses. This advancement offers a valuable tool for quantum computing and other domains requiring precise, multi-objective control.

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@article{yu2025_2502.05228,
  title={ Multi-Objective Mobile Damped Wave Algorithm (MOMDWA): A Novel Approach For Quantum System Control },
  author={ Juntao Yu and Jiaquan Yu and Dedai Wei and Xinye Sha and Shengwei Fu and Miuyu Qiu and Yurun Jin and Kaichen Ouyang },
  journal={arXiv preprint arXiv:2502.05228},
  year={ 2025 }
}
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