2 citations · 3 across the 3 of their papers we have counts for
3 papers
Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning
David Winderl, Nicola Franco, Jeanette Miriam Lorenz
With the rapid advancement of Quantum Machine Learning (QML), the critical need to enhance security measures against adversarial attacks and protect QML models becomes increasingly…
Quantum Neural Networks under Depolarization Noise: Exploring White-Box Attacks and Defenses
David Winderl, Nicola Franco, Jeanette Miriam Lorenz
Leveraging the unique properties of quantum mechanics, Quantum Machine Learning (QML) promises computational breakthroughs and enriched perspectives where traditional systems reach…
A Comparative Study On Solving Optimization Problems With Exponentially Fewer Qubits
David Winderl, Nicola Franco, Jeanette Miriam Lorenz
Variational Quantum optimization algorithms, such as the Variational Quantum Eigensolver (VQE) or the Quantum Approximate Optimization Algorithm (QAOA), are among the most studied…