Robust Quantum Control for Set-Membership Hamiltonian Uncertainty

Robert L. Kosut, Herschel Rabitz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We provide a brief review of a recently proposed approach to robust quantum control which rests on three theoretical foundations: the classic method of averaging, set-membership uncertainty modeling, and the known topological properties of the quantum control landscape. Application of the method of averaging directly results in a multi-criterion optimization problem consisting of the uncertainty-free fidelity competing with a generic robustness measure, the latter being a norm of a time-domain product of a function of the uncertainty-free system and the character of the uncertainty set. If this term is sufficiently small, then at most, only fourth order error effects can accrue. Lastly, the topological features promote a two-stage algorithm: in stage-1 the uncertainty-free fidelity is set to a high threshold, then in stage-2 the robustness measure is minimized while maintaing the threshold. Each stage-2 control update is found by solving a convex optimization problem.

Original languageEnglish (US)
Title of host publicationProceedings - 2023 IEEE International Conference on Quantum Computing and Engineering, QCE 2023
EditorsHausi Muller, Yuri Alexev, Andrea Delgado, Greg Byrd
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1304-1307
Number of pages4
ISBN (Electronic)9798350343236
DOIs
StatePublished - 2023
Event4th IEEE International Conference on Quantum Computing and Engineering, QCE 2023 - Bellevue, United States
Duration: Sep 17 2023Sep 22 2023

Publication series

NameProceedings - 2023 IEEE International Conference on Quantum Computing and Engineering, QCE 2023
Volume1

Conference

Conference4th IEEE International Conference on Quantum Computing and Engineering, QCE 2023
Country/TerritoryUnited States
CityBellevue
Period9/17/239/22/23

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Hardware and Architecture
  • Signal Processing
  • Electrical and Electronic Engineering
  • Computational Mathematics
  • Theoretical Computer Science
  • Atomic and Molecular Physics, and Optics
  • Computer Science (miscellaneous)

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