Quantum computing through the lens of control: A tutorial introduction
J Berberich, D Fink - IEEE Control Systems, 2024 - ieeexplore.ieee.org
Quantum computing is a fascinating interdisciplinary research field that promises to
revolutionize computing by efficiently solving previously intractable problems. Recent years …
revolutionize computing by efficiently solving previously intractable problems. Recent years …
On the relation between trainability and dequantization of variational quantum learning models
The quest for successful variational quantum machine learning (QML) relies on the design of
suitable parametrized quantum circuits (PQCs), as analogues to neural networks in classical …
suitable parametrized quantum circuits (PQCs), as analogues to neural networks in classical …
Robustness and Generalization in Quantum Reinforcement Learning via Lipschitz Regularization
Quantum machine learning leverages quantum computing to enhance accuracy and reduce
model complexity compared to classical approaches, promising significant advancements in …
model complexity compared to classical approaches, promising significant advancements in …
Bringing Quantum Systems under Control: A Tutorial Invitation to Quantum Computing and Its Relation to Bilinear Control Systems
J Berberich, RL Kosut… - arxiv preprint arxiv …, 2024 - arxiv.org
Quantum computing comes with the potential to push computational boundaries in various
domains including, eg, cryptography, simulation, optimization, and machine learning …
domains including, eg, cryptography, simulation, optimization, and machine learning …
A Comparative Analysis of Adversarial Robustness for Quantum and Classical Machine Learning Models
Quantum machine learning (QML) continues to be an area of tremendous interest from
research and industry. While QML models have been shown to be vulnerable to adversarial …
research and industry. While QML models have been shown to be vulnerable to adversarial …
QUACK: Quantum Aligned Centroid Kernel
K Tscharke, S Issel, P Debus - arxiv preprint arxiv:2405.00304, 2024 - arxiv.org
Quantum computing (QC) seems to show potential for application in machine learning (ML).
In particular quantum kernel methods (QKM) exhibit promising properties for use in …
In particular quantum kernel methods (QKM) exhibit promising properties for use in …