Leo Sünkel

According to our database, Leo Sünkel authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The Questionable Influence of Entanglement in Quantum Optimisation Algorithms.

Tobias Rohe, Daniëlle Schuman, Jonas Nüßlein, Leo Sünkel, Jonas Stein, Claudia Linnhoff-Popien

CoRR, 2024

Towards Federated Learning on the Quantum Internet.

Leo Sünkel, Michael Kölle, Tobias Rohe, Thomas Gabor

Proceedings of the Computational Science - ICCS 2024, 2024

Quantum Federated Learning for Image Classification.

Leo Sünkel, Philipp Altmann, Michael Kölle, Thomas Gabor

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Exploring Unsupervised Anomaly Detection with Quantum Boltzmann Machines in Fraud Detection.

Jonas Stein, Daniëlle Schuman, Magdalena Benkard, Thomas Holger, Wanja Sajko, Michael Kölle, Jonas Nüßlein, Leo Sünkel, Olivier Salomon, Claudia Linnhoff-Popien

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures.

Michael Kölle, Jonas Maurer, Philipp Altmann, Leo Sünkel, Jonas Stein, Claudia Linnhoff-Popien

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

2023

Hybrid Quantum Machine Learning Assisted Classification of COVID-19 from Computed Tomography Scans.

Leo Sünkel, Darya Martyniuk, Julia J. Reichwald, Andrei Morariu, Raja Havish Seggoju, Philipp Altmann, Christoph Roch, Adrian Paschke

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Towards Transfer Learning for Large-Scale Image Classification Using Annealing-Based Quantum Boltzmann Machines.

Daniëlle Schuman, Leo Sünkel, Philipp Altmann, Jonas Stein, Christoph Roch, Thomas Gabor, Claudia Linnhoff-Popien

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

SEQUENT: Towards Traceable Quantum Machine Learning Using Sequential Quantum Enhanced Training.

Philipp Altmann, Leo Sünkel, Jonas Stein, Tobias Müller, Christoph Roch, Claudia Linnhoff-Popien

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

2020

The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline.

Thomas Gabor, Leo Sünkel, Fabian Ritz, Thomy Phan, Lenz Belzner, Christoph Roch, Sebastian Feld, Claudia Linnhoff-Popien

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020