Optimal Control of Spins by Analytical Lie Algebraic Derivatives

Mohammadali Foroozandeh, Pranav Singh

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Abstract

Computation of derivatives (gradient and Hessian) of a fidelity function is one of the most crucial steps in many optimization algorithms. Having access to accurate methods for computing these derivatives is even more desirable where the optimization process requires propagation of these computations over many steps, which is particularly important in optimal control of spin systems. Here we propose a novel numerical approach, ESCALADE (Efficient Spin Control using Analytical Lie Algebraic Derivatives), that offers the exact first and second derivatives of the fidelity function by taking advantage of the properties of the Lie group of 2 × 2 unitary matrices, SU(2), and its Lie algebra, the Lie algebra of skew-Hermitian matrices, su(2). A full mathematical treatment of the proposed method along with some numerical examples are presented.

Original languageEnglish
Article number109611
JournalAutomatica
Volume129
Early online date10 Apr 2021
DOIs
Publication statusPublished - 31 Jul 2021

Funding

MF thanks the Royal Society, UK for a University Research Fellowship and a University Research Fellow Enhancement Award (grant numbers URF\R1\180233 and RGF\EA\181018 ). PS thanks Trinity College Oxford for a Junior Research Fellowship and Mathematical Institute, Oxford, where most of this research was carried out.

FundersFunder number
Trinity College Oxford
Royal SocietyURF\R1\180233, RGF\EA\181018

    Keywords

    • Derivatives
    • ESCALADE
    • Lie algebra
    • Numerical algorithms
    • Optimal control

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Control and Systems Engineering

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