English

Constraint optimization and $\mathcal{SU}(N)$ quantum control landscapes

Quantum Physics 2022-02-18 v2 Mathematical Physics math.MP Optimization and Control

Abstract

We develop the embedded gradient vector field method, introduced in [8] and [9], for the case of the special unitary group SU(N)\mathcal{SU}(N) regarded as a constraint submanifold of the unitary group U(N)\mathcal{U}(N). The optimization problem associated to the trace fidelity cost function defined on SU(N)\mathcal{SU}(N) that appears in the context of SU(N)\mathcal{SU}(N) quantum control landscapes is completely solved using the embedded gradient vector field method. We prove that for N5N\geq 5, the landscape is not SU(N)\mathcal{SU}(N)-trap free, there are always kinematic local extrema that are not global extrema.

Cite

@article{arxiv.2103.11132,
  title  = {Constraint optimization and $\mathcal{SU}(N)$ quantum control landscapes},
  author = {Petre Birtea and Ioan Casu and Dan Comanescu},
  journal= {arXiv preprint arXiv:2103.11132},
  year   = {2022}
}
R2 v1 2026-06-24T00:22:38.790Z