Constraint optimization and SU(N) quantum control landscapes
From MaRDI portal
Publication:5049712
DOI10.1088/1751-8121/ac5189zbMath1505.81054arXiv2103.11132OpenAlexW3138349668MaRDI QIDQ5049712
Petre Birtea, Ioan Caşu, Dan Comănescu
Publication date: 11 November 2022
Published in: Journal of Physics A: Mathematical and Theoretical (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2103.11132
Cites Work
- Unnamed Item
- Coherent control of a qubit is trap-free
- Geometrical dissipation for dynamical systems
- Hessian operators on constraint manifolds
- Adaptive regularization with cubics on manifolds
- A brief introduction to manifold optimization
- Newton algorithm on constraint manifolds and the 5-electron Thomson problem
- Riemannian Preconditioning
- A CLOSER LOOK AT QUANTUM CONTROL LANDSCAPES AND THEIR IMPLICATION FOR CONTROL OPTIMIZATION
- Projection-like Retractions on Matrix Manifolds
- Control landscape for ultrafast manipulation by a qubit
- Characterization of the Critical Sets of Quantum Unitary Control Landscapes
- GRADIENT FLOWS FOR OPTIMIZATION IN QUANTUM INFORMATION AND QUANTUM DYNAMICS: FOUNDATIONS AND APPLICATIONS
- The Geometry of Algorithms with Orthogonality Constraints
- Steepest Descent Algorithms for Optimization Under Unitary Matrix Constraint
- Comment on ‘Control landscapes are almost always trap free: a geometric assessment’
- Common foundations of optimal control across the sciences: evidence of a free lunch
- Controllability of quantum mechanical systems by root space decomposition of su(N)
- A Comprehensive Introduction to Sub-Riemannian Geometry
- Control landscapes are almost always trap free: a geometric assessment
- Optimization algorithms exploiting unitary constraints
- A Study on Neural Learning on Manifold Foliations: The Case of the Lie Group SU(3)
This page was built for publication: Constraint optimization and SU(N) quantum control landscapes