Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/114263
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Title: Quantum coherent and measurement feedback control based on atoms coupled with a semi-infinite waveguide
Authors: Ding, H 
Amini, NH
Zhang, G 
Gough, JE
Issue Date: 2025
Source: SIAM journal on control and optimization, 2025, v. 63, no. 1, p. S231-S257
Abstract: In this paper, we demonstrate the application of quantum feedback control in creating desired states for atomic and photonic systems utilizing a semi-infinite waveguide coupled with multiple two-level atoms. In this approach, an initially excited atom can emit one photon into the waveguide, and the photon can be reflected by either the terminal mirror of the waveguide or other atoms, establishing various feedback loops through the coherent interactions between the atom and photon. When there are no more than two excitations in the waveguide quantum electrodynamics (QED) system, the evolution of quantum states can be effectively elucidated through the lens of random graph theory. However, this process is influenced by the environment. We propose that the environment-induced dynamics in the coherent feedback loop can be eliminated by measurement-based feedback control or coherent drives. Consequently, in the atom-waveguide interactions in open quantum systems, measurement-based feedback has the potential to modulate the quantum steady states. Additionally, the homodyne detection noise during the measurement process can induce errors upon quantum states, which can be influenced by the coherent feedback parameter designs.
Keywords: Atom-waveguide interaction
Coherent feedback
Measurement feedback
Quantum feedback control
Publisher: Society for Industrial and Applied Mathematics
Journal: SIAM journal on control and optimization 
ISSN: 0363-0129
EISSN: 1095-7138
DOI: 10.1137/23M1590482
Rights: © 2025 Society for Industrial and Applied Mathematics
Copyright © by SIAM. Unauthorized reproduction of this article is prohibited.
First Published in SIAM Journal on Control and Optimization in Vol. 63, Iss. 1 (2025) published by the Society for Industrial and Applied Mathematics (SIAM)
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