Real-time parameter estimation for two-qubit systems based on hybrid control

Tian, Y; Lu, X; Kuang, S; Dong, D

Real-time parameter estimation for two-qubit systems based on hybrid control

Tian, Y Lu, X Kuang, S Dong, D

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Publisher:: AMER PHYSICAL SOC
Publication Type:: Journal Article
Citation:: Physical Review A, 2024, 109, (6)
Issue Date:: 2024-06-01

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Field	Value	Language
dc.contributor.author	Tian, Y
dc.contributor.author	Lu, X
dc.contributor.author	Kuang, S
dc.contributor.author	Dong, D https://orcid.org/0000-0002-7425-3559
dc.date.accessioned	2025-03-10T02:22:13Z
dc.date.available	2024-06-05
dc.date.available	2025-03-10T02:22:13Z
dc.date.issued	2024-06-01
dc.identifier.citation	Physical Review A, 2024, 109, (6)
dc.identifier.issn	2469-9926
dc.identifier.issn	2469-9934
dc.identifier.uri	http://hdl.handle.net/10453/185611
dc.description.abstract	In this paper, we consider the real-time parameter estimation problem for a ZZ-coupled system composed of two qubits in the presence of spontaneous emission. To enhance the estimation precision of the coupling coefficient, we first propose two different control strategies, where the first one is feedback control based on quantum-jump detection, and the second one is hybrid control combining Markovian feedback and Hamiltonian control. The simulation results show that compared with free evolution, both control strategies can improve parameter precision and extend system coherence time. Then, on the basis of the two control strategies, we propose a practical single-parameter quantum recovery protocol, which includes the preparation of an optimal initial probe state, the active control and optimization of a system evolution process, the design of an adaptive measurement scheme, and the parameter estimation algorithm based on Bayesian estimation theory. In particular, by employing a batch-style adaptive measurement scheme, the parameter recovery is conducted and the effectiveness of the two control strategies is verified.
dc.language	English
dc.publisher	AMER PHYSICAL SOC
dc.relation.ispartof	Physical Review A
dc.relation.isbasedon	10.1103/PhysRevA.109.062222
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	34 Chemical sciences
dc.subject.classification	49 Mathematical sciences
dc.subject.classification	51 Physical sciences
dc.title	Real-time parameter estimation for two-qubit systems based on hybrid control
dc.type	Journal Article
utslib.citation.volume	109
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
dc.date.updated	2025-03-10T02:22:11Z
pubs.issue	6
pubs.publication-status	Published
pubs.volume	109
utslib.citation.issue	6

Abstract:

In this paper, we consider the real-time parameter estimation problem for a ZZ-coupled system composed of two qubits in the presence of spontaneous emission. To enhance the estimation precision of the coupling coefficient, we first propose two different control strategies, where the first one is feedback control based on quantum-jump detection, and the second one is hybrid control combining Markovian feedback and Hamiltonian control. The simulation results show that compared with free evolution, both control strategies can improve parameter precision and extend system coherence time. Then, on the basis of the two control strategies, we propose a practical single-parameter quantum recovery protocol, which includes the preparation of an optimal initial probe state, the active control and optimization of a system evolution process, the design of an adaptive measurement scheme, and the parameter estimation algorithm based on Bayesian estimation theory. In particular, by employing a batch-style adaptive measurement scheme, the parameter recovery is conducted and the effectiveness of the two control strategies is verified.

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http://hdl.handle.net/10453/185611