@inproceedings{a3f56dd6b44741f08ded0122f00b668f,
title = "Control-Enhanced Quantum Metrology Guided by Pontryagin's Minimum Principle",
abstract = "Quantum metrology utilizes quantum resources to enhance the precision of parameter estimation. A central objective is to maximize the Quantum Fisher information (QFI), which determines the ultimate estimation precision based on the Cram{\'e}r-Rao bound. In this work, we formulate QFI optimization as an optimal control problem and apply Pontryagin's Minimum Principle (PMP) to derive the optimal control protocol. We show that when the control amplitude is constrained below a certain threshold, the optimal solution reduces to a constant control. This strategy enables the QFI to scale quadratically with the total evolution time T, thereby improving estimation precision with longer probe durations.",
author = "Shouliang Hu and Hailan Ma and Yunyan Lee and Daoyi Dong and Petersen, \{Ian R.\}",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 64th IEEE Conference on Decision and Control, CDC 2025 ; Conference date: 09-12-2025 Through 12-12-2025",
year = "2025",
doi = "10.1109/CDC57313.2025.11312173",
language = "English",
series = "Proceedings of the IEEE Conference on Decision and Control",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "6724--6729",
booktitle = "2025 IEEE 64th Conference on Decision and Control, CDC 2025",
address = "United States",
}