4 papers
Classical shadows over symmetric spaces
Rebecca Chang, Maureen Krumtünger, Martin Larocca +1
Efficiently learning expectation values of unknown quantum states via classical shadows has become an important primitive in both theoretical and experimental aspects of quantum co…
Feature-level analysis and adversarial transfer in rotationally equivariant quantum machine learning
Maureen Krumtünger, Martin Sevior, Muhammad Usman
Group-equivariant quantum models are designed to exploit symmetry and can improve trainability, but it remains unclear how symmetry constraints shape their adversarial robustness.…
Reinforcement learning of quantum circuit architectures for molecular potential energy curves
Maureen Krumtünger, Alissa Wilms, Paul K. Faehrmann +4
Quantum chemistry and optimization are two of the most prominent applications of quantum computers. Variational quantum algorithms have been proposed for solving problems in these…
Quantum Internet Use Case Analysis for the Automotive Industry
K. L. van der Enden, R. Kirschner, M. Krumtünger +1
A future quantum internet brings promising applications related to security, privacy and enabling distributed quantum computing. Integration of these concepts into the future trend…