Fast Quantum Gate Control with Trajectory Optimization

Hu, S; Li, M; Chen, C; Dong, D

Fast Quantum Gate Control with Trajectory Optimization

Hu, S Li, M Chen, C Dong, D

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Publisher:: Elsevier
Publication Type:: Conference Proceeding
Citation:: IFAC-PapersOnLine, 2024, 58, (14), pp. 331-336
Issue Date:: 2024-07-01

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Field	Value	Language
dc.contributor.author	Hu, S
dc.contributor.author	Li, M
dc.contributor.author	Chen, C
dc.contributor.author	Dong, D https://orcid.org/0000-0002-7425-3559
dc.date.accessioned	2025-03-22T19:48:34Z
dc.date.available	2025-03-22T19:48:34Z
dc.date.issued	2024-07-01
dc.identifier.citation	IFAC-PapersOnLine, 2024, 58, (14), pp. 331-336
dc.identifier.issn	2405-8971
dc.identifier.issn	2405-8963
dc.identifier.uri	http://hdl.handle.net/10453/186123
dc.description.abstract	Fast quantum control helps reduce the influence of unavoided disturbances and hence plays a vital role in practical quantum technology and chemical reactions. Instead of optimizing the terminal cost like standard optimal quantum control methods, this paper formulates the problem as a trajectory optimization problem, and implements the sequential quadratic programming algorithm to search for short control fields. The core idea is to minimize the cumulative intermediate error to incentivize early achievement of the designed gate. The numerical result on the Toffoli gate demonstrates the effectiveness of the proposed method.
dc.language	en
dc.publisher	Elsevier
dc.relation.ispartof	IFAC-PapersOnLine
dc.relation.isbasedon	10.1016/j.ifacol.2024.08.358
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	4007 Control engineering, mechatronics and robotics
dc.subject.classification	4008 Electrical engineering
dc.title	Fast Quantum Gate Control with Trajectory Optimization
dc.type	Conference Proceeding
utslib.citation.volume	58
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	open_access	*
dc.rights.license	This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.date.updated	2025-03-22T19:48:32Z
pubs.issue	14
pubs.publication-status	Published
pubs.volume	58
utslib.citation.issue	14

Abstract:

Fast quantum control helps reduce the influence of unavoided disturbances and hence plays a vital role in practical quantum technology and chemical reactions. Instead of optimizing the terminal cost like standard optimal quantum control methods, this paper formulates the problem as a trajectory optimization problem, and implements the sequential quadratic programming algorithm to search for short control fields. The core idea is to minimize the cumulative intermediate error to incentivize early achievement of the designed gate. The numerical result on the Toffoli gate demonstrates the effectiveness of the proposed method.

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http://hdl.handle.net/10453/186123