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Robust Feedback-Based Quantum Optimization: Analysis of Coherent Control Errors
Mirko Legnini, Julian Berberich·June 25, 2025·DOI: 10.1109/qCCL65142.2025.11158422
Computer ScienceEngineering
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Abstract
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.