@inproceedings{9091e99702b345a3a4e96de69a174c06,
title = "Gradient-Based Optimization for Linear Quantum Systems",
abstract = "This paper presents a gradient-based optimization approach to solve optimal control problems in linear quantum systems. Utilizing an algebraic Lyapunov equation, we derive the partial derivatives of the cost function with respect to the steady-state covariance matrix. Furthermore, we formulate the gradient for the cost function when applied to a coherent quantum Linear Quadratic Gaussian (LQG) control problem. Through numerical simulations, we verify that our method effectively solves the LQG control problem.",
author = "Yunyan Lee and Petersen, \{Ian R.\} and Daoyi Dong",
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 = "2026",
month = jan,
day = "12",
doi = "10.1109/CDC57313.2025.11312520",
language = "English",
isbn = "979-8-3315-2628-3",
series = "Proceedings of the IEEE Conference on Decision and Control",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "6679--6684",
booktitle = "2025 IEEE 64th Conference on Decision and Control, CDC 2025",
address = "United States",
}