Multi-Objective Mobile Damped Wave Algorithm (MOMDWA): A Novel Approach For Quantum System Control
This provides a valuable tool for quantum computing and other domains requiring precise, multi-objective control, but it is incremental as it extends an existing method.
The paper tackled complex quantum control problems by introducing the Multi-Objective Mobile Damped Wave Algorithm (MOMDWA), which enhanced quantum control efficiency and robustness by achieving high fidelity while minimizing energy use and ensuring smooth control pulses.
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.