SKRYN: a fast semismooth-Krylov-Newton method for controlling Ising spin systems

DOI10.1016/j.cpc.2015.01.006zbMath1344.81011OpenAlexW1995186390MaRDI QIDQ311619

Gabriele Ciaramella, Alfio Borzì

Publication date: 13 September 2016

Published in: Computer Physics Communications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cpc.2015.01.006

zbMATH Keywords

optimality conditionsoptimal control theoryquantum systemspointwise control constraintsemismooth Newton scheme

Mathematics Subject Classification ID

Computational methods for problems pertaining to quantum theory (81-08) Software, source code, etc. for problems pertaining to quantum theory (81-04) Quantum dynamics and nonequilibrium statistical mechanics (general) (82C10) Open systems, reduced dynamics, master equations, decoherence (81S22) Quantum control (81Q93)

Related Items (3)

A LONE code for the sparse control of quantum systems ⋮ Nash equilibria and bargaining solutions of differential bilinear games ⋮ ReHaG

Uses Software

• Matlab
• SKRYN

Cites Work

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• \texttt{QUCON}: a fast Krylov-Newton code for dipole quantum control problems
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• Quantum optimal control using the adjoint method
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• Semismooth Newton Methods for Optimal Control of the Wave Equation with Control Constraints
• A Globalized Newton Method for the Accurate Solution of a Dipole Quantum Control Problem
• Computational techniques for a quantum control problem with H ¹ -cost
• Lie Theory for Quantum Control
• Semismooth Newton Methods for Operator Equations in Function Spaces
• The Primal-Dual Active Set Strategy as a Semismooth Newton Method
• On Magnus Integrators for Time-Dependent Schrödinger Equations
• Monotonic Parareal Control for Quantum Systems
• Galerkin Finite Element Methods for Parabolic Problems

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