Search results for "Optimal control"

showing 10 items of 209 documents

Discrete-valued-pulse optimal control algorithms: Application to spin systems

2015

International audience; This article is aimed at extending the framework of optimal control techniques to the situation where the control field values are restricted to a finite set. We propose generalizations of the standard GRAPE algorithm suited to this constraint. We test the validity and the efficiency of this approach for the inversion of an inhomogeneous ensemble of spin systems with different offset frequencies. It is shown that a remarkable efficiency can be achieved even for a very limited number of discrete values. Some applications in nuclear magnetic resonance are discussed.

Physics[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]Offset (computer science)3280QkInversion (meteorology)010402 general chemistryOptimal control3710Vz01 natural sciencesAtomic and Molecular Physics and Optics0104 chemical sciences7820Bh3280Qk 3710Vz 7820Bh0103 physical sciences[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]010306 general physicsAlgorithmFinite set
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Laser control in a bifurcating region

2006

We present a complete analysis of the laser control of a model molecular system using both optimal control theory and adiabatic techniques. This molecule has a particular potential energy surface with a bifurcating region connecting three potential wells which allows a variety of processes such as isomerization, tunnelling or implementation of quantum gates on one or two qubits. The parameters of the model have been chosen so as to reproduce the main features of H3CO which is a molecule-benchmark for such dynamics. We show the feasibility of different processes and we investigate their robustness against variations of laser field. We discuss the conditions under which each method of control…

Physics[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]Quantum Physics010304 chemical physicsField (physics)FOS: Physical sciencesOptimal control01 natural sciencesPotential energyAtomic and Molecular Physics and OpticsQuantum gate[ PHYS.PHYS.PHYS-AO-PH ] Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]Quantum mechanicsQubit0103 physical sciencesPotential energy surface[PHYS.PHYS.PHYS-CHEM-PH]Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph]010306 general physicsAdiabatic processQuantum Physics (quant-ph)ComputingMilieux_MISCELLANEOUSQuantum tunnelling
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Optimal control of an inhomogeneous spin ensemble coupled to a cavity

2018

We apply optimal control techniques to an inhomogeneous spin ensemble coupled to a cavity. A general procedure is proposed for designing the control strategies. We numerically show the extent to which optimal control fields robust against system uncertainties help enhancing the sensitivity of the detection process. The parameters of the numerical simulations are taken from recent Electron Spin Resonance experiments. The low and high cooperativity regimes are explored.

Physics[PHYS]Physics [physics]Quantum PhysicsProcess (computing)FOS: Physical sciencesCooperativity02 engineering and technology021001 nanoscience & nanotechnologyOptimal control01 natural scienceslaw.inventionlaw0103 physical sciencesSensitivity (control systems)Statistical physics010306 general physics0210 nano-technologyElectron paramagnetic resonanceQuantum Physics (quant-ph)Spin-½
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Optimal local control of coherent dynamics in custom-made nanostructures

2013

We apply quantum optimal control theory to establish a local voltage-control scheme that operates in conjunction with the numerically exact solution of the time-dependent Schr¨ odinger equation. The scheme is demonstrated for high-fidelity coherent control of electronic charge in semiconductor double quantum dots. We find tailored gate voltages in the viable gigahertz regime that drive the system to a desired charge configuration with >99% yield. The results could be immediately verified in experiments and would play an important role in applications towards solid-state quantum computing. During the past decade, advances in the fabrication of custom-made nanostructures have allowed the obse…

Physicsta114Field (physics)Charge (physics)Context (language use)Condensed Matter PhysicsOptimal control114 Physical sciencesElectronic Optical and Magnetic MaterialsQuantum dotCoherent controlQuantum mechanicsElectronic engineeringQuantum wellQuantum computerPhysical Review B
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New Results in Generalized Minimum Variance Control of Computer Networks

2014

In this paper new results in adaptive (generalized) minimum variance control of packet switching computer networks are presented. New solutions, corresponding to the new inverses of the nonsquare polynomial matrices, can be used for design of robust control of multivariable systems with different number of inputs and outputs. Application of polynomial matrix inverses with arbitrary degrees of freedom creates the possibilities to optimal control of computer networks in terms of usage their maximal bandwidth. Simulation examples made in Matlab environment show big potential of presented approach. DOI: http://dx.doi.org/10.5755/j01.itc.43.3.6268

PolynomialComputer sciencebusiness.industryMultivariable calculusDegrees of freedom (statistics)Optimal controlPolynomial matrixComputer Science ApplicationsMinimum-variance unbiased estimatorControl and Systems EngineeringElectrical and Electronic EngineeringRobust controlMATLABbusinesscomputercomputer.programming_languageComputer networkInformation Technology And Control
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Optimal Impulse Control Problems and Linear Programming

2009

Optimal impulse control problems are, in general, difficult to solve. A current research goal is to isolate those problems that lead to tractable solutions. In this paper, we identify a special class of optimal impulse control problems which are easy to solve. Easy to solve means that solution algorithms are polynomial in time and therefore suitable to the on-line implementation in real-time problems. We do this by using a paradigm borrowed from the Operations Research field. As main result, we present a solution algorithm that converges to the exact solution in polynomial time. Our approach consists in approximating the optimal impulse control problem via a binary linear programming proble…

PolynomialMathematical optimizationUnimodular matrixComputational complexity theoryLinear programmingbusiness.industryImpulse control hybrid systems optimal controlLocal search (optimization)Relaxation (approximation)Optimal controlbusinessTime complexityMathematics
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Optimal Control of the Lotka-Volterra Equations with Applications

2022

In this article, the Lotka-Volterra model is analyzed to reduce the infection of a complex microbiote. The problem is set as an optimal control problem, where controls are associated to antibiotic or probiotic agents, or transplantations and bactericides. Candidates as minimizers are selected using the Maximum Principle and the closed loop optimal solution is discussed. In particular a 2d-model is constructed with 4 parameters to compute the optimal synthesis using homotopies on the parameters.

Population dynamicsMaximum Principle[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]Lotka-Volterra equations[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]Regular synthesisOptimal control
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Shortcut to Adiabaticity in the Lipkin-Meshkov-Glick Model

2015

We study transitionless quantum driving in an infinite-range many-body system described by the Lipkin-Meshkov-Glick model. Despite the correlation length being always infinite the closing of the gap at the critical point makes the driving Hamiltonian of increasing complexity also in this case. To this aim we develop a hybrid strategy combining shortcut to adiabaticity and optimal control that allows us to achieve remarkably good performance in suppressing the defect production across the phase transition.

Quantum phase transitionPhysicsPhase transitionQuantum PhysicsStatistical Mechanics (cond-mat.stat-mech)General Physics and AstronomyFOS: Physical sciencesNanotechnologyOptimal controlSettore FIS/03 - Fisica Della Materiashortcut to adiabaticity Lipkin-Meshkov-Glick Model many body hamiltoniansymbols.namesakesymbolsStatistical physicsHamiltonian (quantum mechanics)Quantum Physics (quant-ph)QuantumShortcut to adiabaticity in the Lipkin-Meshkov-Glick modelCondensed Matter - Statistical Mechanics
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Ultrafast critical ground state preparation via bang-bang protocols

2020

The fast and faithful preparation of the ground state of quantum systems is a challenging task but crucial for several applications in the realm of quantum-based technologies. Decoherence poses a limit to the maximum time-window allowed to an experiment to faithfully achieve such desired states. This is of particular significance in critical systems, where the vanishing energy gap challenges an adiabatic ground state preparation. We show that a bang-bang protocol, consisting of a time evolution under two different values of an externally tunable parameter, allows for a high-fidelity ground state preparation in evolution times no longer than those required by the application of standard opti…

Quantum phase transitionQuantum decoherenceGeneral Physics and AstronomyFOS: Physical sciencesPhysics and Astronomy(all)Topology01 natural sciences010305 fluids & plasmasquantum optimal protocols/dk/atira/pure/subjectarea/asjc/31000103 physical sciencesQuantum information010306 general physicsAdiabatic processQuantumPhysicsquantum phase transitionsQuantum PhysicsTime evolutionOptimal controlquantum control quantum optimal protocols quantum phase transitionsQuantum Gases (cond-mat.quant-gas)Ground statequantum controlQuantum Physics (quant-ph)Condensed Matter - Quantum Gases
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Existence and Relaxation Results for Second Order Multivalued Systems

2021

AbstractWe consider nonlinear systems driven by a general nonhomogeneous differential operator with various types of boundary conditions and with a reaction in which we have the combined effects of a maximal monotone term $A(x)$ A ( x ) and of a multivalued perturbation $F(t,x,y)$ F ( t , x , y ) which can be convex or nonconvex valued. We consider the cases where $D(A)\neq \mathbb{R}^{N}$ D ( A ) ≠ R N and $D(A)= \mathbb{R}^{N}$ D ( A ) = R N and prove existence and relaxation theorems. Applications to differential variational inequalities and control systems are discussed.

RelaxationPure mathematicsPartial differential equationApplied Mathematics010102 general mathematicsMaximal monotone mapOrder (ring theory)Differential operator01 natural sciencesOptimal control010101 applied mathematicsNonlinear systemMonotone polygonSettore MAT/05 - Analisi MatematicaContinuous and measurable selectionsVariational inequalityConvex and nonconvex problemsRelaxation (physics)Boundary value problem0101 mathematicsMathematicsActa Applicandae Mathematicae
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