19 citations · 58 across the 8 of their papers we have counts for
4 papers · 1 filter
Bringing Quantum Systems under Control: A Tutorial Invitation to Quantum Computing and Its Relation to Bilinear Control Systems
Julian Berberich, Robert L. Kosut, Thomas Schulte-Herbrüggen
Quantum computing comes with the potential to push computational boundaries in various domains including, e.g., cryptography, simulation, optimization, and machine learning. Exploi…
Robustness and Generalization in Quantum Reinforcement Learning via Lipschitz Regularization
Nico Meyer, Julian Berberich, Christopher Mutschler +1
Quantum machine learning leverages quantum computing to enhance accuracy and reduce model complexity compared to classical approaches, promising significant advancements in various…
Robustness of optimal quantum annealing protocols
Niklas Funcke, Julian Berberich
Noise in quantum computing devices poses a key challenge in their realization. In this paper, we study the robustness of optimal quantum annealing protocols against coherent contro…
Using quantum computers in control: interval matrix properties
Jan Schneider, Julian Berberich
Quantum computing provides a powerful framework for tackling computational problems that are classically intractable. The goal of this paper is to explore the use of quantum comput…