Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/93308
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 |
Appears in Collections: | Journal/Magazine Article |
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Zhang_Improved_Quantum_Projection.pdf | Pre-Published version | 928.65 kB | Adobe PDF | View/Open |
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