Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/5812
Title: Coherent feedback control of linear quantum optical systems via squeezing and phase shift
Authors: Zhang, G 
Lee, HWJ 
Huang, B
Zhang, H
Keywords: Quantum optics
Linear quadratic Gaussian control
Squeezing
Phase shift
Optimization
Heisenberg's uncertainty principle
Issue Date: 2012
Publisher: Society for Industrial and Applied Mathematics
Source: SIAM journal on control and optimization, 2012, v. 50, no. 4, p. 2130-2150 How to cite?
Journal: SIAM journal on control and optimization 
Abstract: The purpose of this paper is to present a theoretic and numerical study of utilizing squeezing and phase shift in coherent feedback control of linear quantum optical systems. A quadrature representation with built-in phase shifters is proposed for such systems. Fundamental structural characterizations of linear quantum optical systems are derived in terms of the new quadrature representation. These results reveal considerable insights into the issue of the physical realizability of such quantum systems. The problem of coherent quantum linear quadratic Gaussian (LQG) feedback control studied in H. I. Nurdin, M. R. James, and I. R. Petersen, Automatica, IFAC, 45 (2009), pp. 1837--1846; G. Zhang and M. R. James, IEEE Trans. Automat. Control, 56 (2011), pp. 1535--1550 is reinvestigated in depth. First, the optimization methods in these papers are extended to a multistep optimization algorithm which utilizes ideal squeezers. Second, a two-stage optimization approach is proposed on the basis of controller parametrization. Numerical studies show that closed-loop systems designed via the second approach may offer LQG control performance even better than that when the closed-loop systems are in the vacuum state. When ideal squeezers in a closed-loop system are replaced by (more realistic) degenerate parametric amplifiers, a sufficient condition is derived for the asymptotic stability of the resultant new closed-loop system; the issue of performance convergence is also discussed in the LQG control setting.
URI: http://hdl.handle.net/10397/5812
ISSN: 0363-0129
EISSN: 1095-7138
DOI: 10.1137/110823444
Rights: © 2012 Society for Industrial and Applied Mathematics
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