3 papers
quant-ph2026
Noise Resilience and Robust Convergence Guarantees for the Variational Quantum Eigensolver
Mirko Legnini, Julian Berberich
Variational Quantum Algorithms (VQAs) are a class of hybrid quantum-classical algorithms that leverage on classical optimization tools to find the optimal parameters for a paramete…
eess.SY2025
Model predictive quantum control: A modular approach for efficient and robust quantum optimal control
Eya Guizani, Julian Berberich
Model predictive control (MPC) is one of the most successful modern control methods. It relies on repeatedly solving a finite-horizon optimal control problem and applying the begin…
eess.SY2025
Robust feedback-based quantum optimization: analysis of coherent control errors
Mirko Legnini, Julian Berberich
The Feedback-based Algorithm for Quantum Optimization (FALQON) is a Lyapunov inspired quantum algorithm proposed to tackle combinatorial optimization problems. In this paper, we ex…