Quantum Optimal Control Problems with a Sparsity Cost Functional
DOI10.1080/01630563.2016.1184166zbMath1404.81085OpenAlexW2346461242MaRDI QIDQ2829596
Alfio Borzì, Gabriele Ciaramella
Publication date: 8 November 2016
Published in: Numerical Functional Analysis and Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/01630563.2016.1184166
Nonsmooth analysis (49J52) Control of mechanical systems (70Q05) PDEs in connection with quantum mechanics (35Q40) Existence theories for optimal control problems involving ordinary differential equations (49J15) Numerical methods for initial value problems involving ordinary differential equations (65L05) Applications of quantum theory to specific physical systems (81V99) Optimality conditions for problems involving ordinary differential equations (49K15)
Related Items (8)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- \texttt{QUCON}: a fast Krylov-Newton code for dipole quantum control problems
- Elliptic optimal control problems with \(L^1\)-control cost and applications for the placement of control devices
- A nonsmooth version of Newton's method
- A LONE code for the sparse control of quantum systems
- Multi-input Schrödinger equation: controllability, tracking, and application to the quantum angular momentum
- Directional Sparsity in Optimal Control of Partial Differential Equations
- A Globalized Newton Method for the Accurate Solution of a Dipole Quantum Control Problem
- A duality-based approach to elliptic control problems in non-reflexive Banach spaces
- Computational Optimization of Systems Governed by Partial Differential Equations
- Insensitive Functionals, Inconsistent Gradients, Spurious Minima, and Regularized Functionals in Flow Optimization Problems
- Quantum Control With Piecewise Constant Control Functions
- Convergence and regularization results for optimal control problems with sparsity functional
- Newton Methods for the Optimal Control of Closed Quantum Spin Systems
- Linear-quadratic control problems withL1-control cost
- Computational techniques for a quantum control problem with H 1 -cost
- Optimization and nonsmooth analysis
- Semismooth Newton Methods for Operator Equations in Function Spaces
- Optimality Conditions and Error Analysis of Semilinear Elliptic Control Problems with $L^1$ Cost Functional
- A method for solving exact-controllability problems governed by closed quantum spin systems
- Monotonic Parareal Control for Quantum Systems
- Newton-Type Methods for Optimization and Variational Problems
This page was built for publication: Quantum Optimal Control Problems with a Sparsity Cost Functional