Robust feedback-based quantum optimization: analysis of coherent control errors

Fuente: arXiv
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Main Authors: Legnini, Mirko, Berberich, Julian
Format: Preprint
Published: 2025
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author Legnini, Mirko
Berberich, Julian
author_facet Legnini, Mirko
Berberich, Julian
contents The Feedback-based Algorithm for Quantum Optimization (FALQON) is a Lyapunov inspired quantum algorithm proposed to tackle combinatorial optimization problems. In this paper, we examine the robustness of FALQON against coherent control errors, a class of multiplicative errors that affect the control input. We show that the algorithm is asymptotically robust with respect to systematic errors, and we derive robustness bounds for independent errors. Finally, we propose a robust version of FALQON which minimizes a regularized Lyapunov function. Our theoretical results are supported through simulations.
format Preprint
id arxiv_https___arxiv_org_abs_2507_02532
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Robust feedback-based quantum optimization: analysis of coherent control errors
Legnini, Mirko
Berberich, Julian
Systems and Control
The Feedback-based Algorithm for Quantum Optimization (FALQON) is a Lyapunov inspired quantum algorithm proposed to tackle combinatorial optimization problems. In this paper, we examine the robustness of FALQON against coherent control errors, a class of multiplicative errors that affect the control input. We show that the algorithm is asymptotically robust with respect to systematic errors, and we derive robustness bounds for independent errors. Finally, we propose a robust version of FALQON which minimizes a regularized Lyapunov function. Our theoretical results are supported through simulations.
title Robust feedback-based quantum optimization: analysis of coherent control errors
topic Systems and Control
url https://arxiv.org/abs/2507.02532