Optimal Lyapunov-based quantum control for quantum systems

dc.contributor.authorHou, Shao-Chen
dc.contributor.authorKhan, M. A
dc.contributor.authorYi, X. X.
dc.contributor.authorDong, Daoyi
dc.contributor.authorPetersen, Ian
dc.date.accessioned2018-11-29T22:54:36Z
dc.date.available2018-11-29T22:54:36Z
dc.date.issued2012
dc.date.updated2018-11-29T08:00:58Z
dc.description.abstractQuantum Lyapunov control was developed in order to transform a quantum system from arbitrary initial states to a target state. The idea is to find control fields that steer the Lyapunov function to zero as t → ∞, meanwhile the quantum system is driven to the target state. In order to shorten the time required to reach the target state, we propose two designs to optimize Lyapunov control in this paper. The first design makes the Lyapunov function decrease as fast as possible with a constraint on the total power of control fields, and the second design has the same purpose but with a constraint on each control field. Examples of a three-level system demonstrate that the evolution time for Lyapunov control can be significantly shortened, especially when high control fidelity is required. Besides, this optimal Lyapunov-based quantum control is robust against uncertainties in the free Hamiltonian and decoherence in the system compared to conventional Lyapunov control. We apply our optimal design to cool a nanomechanical resonator where a shorter cooling time is found with respect to the cooling time by the conventional Lyapunov design.
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn1050-2947
dc.identifier.urihttp://hdl.handle.net/1885/152851
dc.publisherAmerican Physical Society
dc.sourcePhysical Review A: Atomic, Molecular and Optical Physics
dc.titleOptimal Lyapunov-based quantum control for quantum systems
dc.typeJournal article
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.issue2
local.contributor.affiliationHou, Shao-Chen, Dalian University of Technology
local.contributor.affiliationKhan, M. A, Dalian University of Technology
local.contributor.affiliationYi, X. X., Northeast Normal University
local.contributor.affiliationDong, Daoyi, University of New South Wales
local.contributor.affiliationPetersen, Ian, College of Engineering and Computer Science, ANU
local.contributor.authoruidPetersen, Ian, u4036493
local.description.notesImported from ARIES
local.identifier.absfor090602 - Control Systems, Robotics and Automation
local.identifier.absseo970109 - Expanding Knowledge in Engineering
local.identifier.ariespublicationu5357342xPUB123
local.identifier.citationvolume86
local.identifier.doi10.1103/PhysRevA.86.022321
local.identifier.scopusID2-s2.0-84865499160
local.identifier.thomsonID000307717300002
local.type.statusPublished Version

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