Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/93308
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Title: An improved quantum projection filter
Authors: Gao, Q
Zhang, G 
Petersen, IR
Issue Date: Feb-2020
Source: Automatica, Feb. 2020, v. 112, 108716
Abstract: This work extends the previous quantum projection filtering scheme in Gao et al. (2019), by adding an optimality analysis result. A reformulation of the quantum projection filter is derived by minimizing the truncated Stratonovich stochastic Taylor expansion of the difference between the true quantum trajectory and its approximation on a lower-dimensional submanifold through quantum information geometric techniques. Simulation results for a qubit example demonstrate better approximation performance for the new quantum projection filter.
Keywords: Quantum filters
Quantum information geometry
Quantum projection filters
Stratonovich stochastic Taylor expansions
Publisher: Pergamon Press
Journal: Automatica 
ISSN: 0005-1098
DOI: 10.1016/j.automatica.2019.108716
Rights: © 2019 Elsevier Ltd. All rights reserved.
© 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
The following publication Gao, Q., Zhang, G., & Petersen, I. R. (2020). An improved quantum projection filter. Automatica, 112, 108716 is available at https://doi.org/10.1016/j.automatica.2019.108716
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