Accelerated Newton-Raphson GRAPE methods for optimal control

A Hessian-based state-to-state optimal control method in Liouville space is presented to mitigate previously undesirable polynomial scaling of Hessian computation time. This method, an improvement to the state-of-the-art Newton-Raphson gradient ascent pulse engineering (GRAPE) method, is derived wit...

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Main Authors: David L. Goodwin, Mads Sloth Vinding
Format: Article
Language:English
Published: American Physical Society 2023-03-01
Series:Physical Review Research
Online Access:http://doi.org/10.1103/PhysRevResearch.5.L012042
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author David L. Goodwin
Mads Sloth Vinding
author_facet David L. Goodwin
Mads Sloth Vinding
author_sort David L. Goodwin
collection DOAJ
description A Hessian-based state-to-state optimal control method in Liouville space is presented to mitigate previously undesirable polynomial scaling of Hessian computation time. This method, an improvement to the state-of-the-art Newton-Raphson gradient ascent pulse engineering (GRAPE) method, is derived with respect to two exact time-propagator derivative calculation techniques, auxiliary matrix and efficient spin control using analytical Lie algebraic derivatives (ESCALADE) methods. We observed that compared to the best current implementation of the Newton-Raphson GRAPE method, for an ensemble of two-level systems, with realistic conditions, our auxiliary matrix and ESCALADE Hessians can be 4–200 and 70–600 times faster, respectively. Additionally, the Newton-Raphson GRAPE method using ESCALADE is presented in a Liouville space for higher-level systems and with the derivation of x-, y-, and z-control propagator derivatives, also extending the application of ESCALADE and the recent quantum optimal control by adaptive low-cost algorithm (QOALA) method for coupled systems.
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spelling doaj.art-0d4f6c98854b4ad8bf5149cee5d1a5a72024-04-12T17:29:29ZengAmerican Physical SocietyPhysical Review Research2643-15642023-03-0151L01204210.1103/PhysRevResearch.5.L012042Accelerated Newton-Raphson GRAPE methods for optimal controlDavid L. GoodwinMads Sloth VindingA Hessian-based state-to-state optimal control method in Liouville space is presented to mitigate previously undesirable polynomial scaling of Hessian computation time. This method, an improvement to the state-of-the-art Newton-Raphson gradient ascent pulse engineering (GRAPE) method, is derived with respect to two exact time-propagator derivative calculation techniques, auxiliary matrix and efficient spin control using analytical Lie algebraic derivatives (ESCALADE) methods. We observed that compared to the best current implementation of the Newton-Raphson GRAPE method, for an ensemble of two-level systems, with realistic conditions, our auxiliary matrix and ESCALADE Hessians can be 4–200 and 70–600 times faster, respectively. Additionally, the Newton-Raphson GRAPE method using ESCALADE is presented in a Liouville space for higher-level systems and with the derivation of x-, y-, and z-control propagator derivatives, also extending the application of ESCALADE and the recent quantum optimal control by adaptive low-cost algorithm (QOALA) method for coupled systems.http://doi.org/10.1103/PhysRevResearch.5.L012042
spellingShingle David L. Goodwin
Mads Sloth Vinding
Accelerated Newton-Raphson GRAPE methods for optimal control
Physical Review Research
title Accelerated Newton-Raphson GRAPE methods for optimal control
title_full Accelerated Newton-Raphson GRAPE methods for optimal control
title_fullStr Accelerated Newton-Raphson GRAPE methods for optimal control
title_full_unstemmed Accelerated Newton-Raphson GRAPE methods for optimal control
title_short Accelerated Newton-Raphson GRAPE methods for optimal control
title_sort accelerated newton raphson grape methods for optimal control
url http://doi.org/10.1103/PhysRevResearch.5.L012042
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