Robustness of energy landscape control to dephasing

O'Neil, Sean P., Langbein, Frank C. ORCID: https://orcid.org/0000-0002-3379-0323, Jonckheere, Edmond and Shermer, S. 2023. Robustness of energy landscape control to dephasing. Research Directions: Quantum Technologies 1 , e13. 10.1017/qut.2023.6

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Abstract

As shown in previous work, in some cases closed quantum systems exhibit a non-conventional absence of trade-off between performance and robustness in the sense that controllers with the highest fidelity can also provide the best robustness to parameter uncertainty. As the dephasing induced by the interaction of the system with the environment guides the evolution to a more classically mixed state, it is worth investigating what effect the introduction of dephasing has on the relationship between performance and robustness. In this paper we analyze the robustness of the fidelity error, as measured by the logarithmic sensitivity function, to dephasing processes. We show that introduction of dephasing as a perturbation to the nominal unitary dynamics requires a modification of the log-sensitivity formulation used to measure robustness about an uncertain parameter with nonzero nominal value used in previous work. We consider controllers optimized for a number of target objectives ranging from fidelity under coherent evolution to fidelity under dephasing dynamics to determine the extent to which optimizing for a specific regime has desirable effects in terms of robustness. Our analysis is based on two independent computations of the log-sensitivity: a statistical Monte Carlo approach and an analytic calculation. We show that despite the different log-sensitivity calculations employed in this study, both demonstrate that the log-sensitivity of the fidelity error to dephasing results in a conventional trade-off between performance and robustness.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Computer Science & Informatics
Publisher:	Cambridge University Press
ISSN:	2752-9444
Date of First Compliant Deposit:	10 November 2023
Date of Acceptance:	1 November 2023
Last Modified:	14 Nov 2023 12:15
URI:	https://orca.cardiff.ac.uk/id/eprint/163823

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