Leo Snkel
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
5
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ICAART | Quantum King-Ring Domination in Chess: A QAOA Approach. | Gerhard Stenzel, Michael Klle, Tobias Rohe, Julian Hager, Leo Snkel, Maximilian Zorn, Claudia Linnhoff-Popien |
| 2026 | ICAART | Reinforcement Learning for Parameterized Quantum State Preparation: A Comparative Study. | Gerhard Stenzel, Michael Klle, Tobias Rohe, Leo Snkel, Julian Hager, Claudia Linnhoff-Popien |
| 2026 | ICAART | Illustration of Barren Plateaus in Quantum Computing. | Gerhard Stenzel, Tobias Rohe, Michael Klle, Leo Snkel, Jonas Stein, Claudia Linnhoff-Popien |
| 2025 | GECCO | Evaluating Mutation Techniques in Genetic-Algorithm-Based Quantum Circuit Synthesis. | Michael Klle, Tom Bintener, Maximilian Zorn, Gerhard Stenzel, Leo Snkel, Thomas Gabor, Claudia Linnhoff-Popien |
| 2025 | GECCO | Quantum Circuit Construction and Optimization through Hybrid Evolutionary Algorithms. | Leo Snkel, Philipp Altmann, Michael Klle, Gerhard Stenzel, Thomas Gabor, Claudia Linnhoff-Popien |
| 2025 | ICAART | Reducing QUBO Density by Factoring out Semi-Symmetries. | Jonas Nlein, Leo Snkel, Jonas Stein, Tobias Rohe, Danille Schuman, Sebastian Feld, Corey O'Meara, Giorgio Cortiana, Claudia Linnhoff-Popien |
| 2025 | ICAART | Optimization of Link Configuration for Satellite Communication Using Reinforcement Learning. | Tobias Rohe, Michael Klle, Jan Matheis, Rdiger Hpfl, Leo Snkel, Claudia Linnhoff-Popien |
| 2025 | QCE | Solving Graph Problems Using Permutation-Invariant Quantum Machine Learning. | Maximilian Balthasar Mansky, Tobias Rohe, Gerhard Stenzel, Leo Snkel, Alejandro Bravo de la Serna, Santiago Londoo Castillo, Gautham Sathish, Dimitra Nikolaidou, Dmytro Bondarenko, Linus Menzel, Claudia Linnhoff-Popien |
| 2025 | QCE | Time-Aware Qubit Assignment and Circuit Optimization for Distributed Quantum Computing. | Leo Snkel, Jonas Stein, Maximilian Zorn, Thomas Gabor, Claudia Linnhoff-Popien |
| 2024 | ICAART | Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures. | Michael Klle, Jonas Maurer, Philipp Altmann, Leo Snkel, Jonas Stein, Claudia Linnhoff-Popien |
| 2024 | ICAART | Exploring Unsupervised Anomaly Detection with Quantum Boltzmann Machines in Fraud Detection. | Jonas Stein, Danille Schuman, Magdalena Benkard, Thomas Holger, Wanja Sajko, Michael Klle, Jonas Nlein, Leo Snkel, Olivier Salomon, Claudia Linnhoff-Popien |
| 2024 | ICAART | Quantum Transfer Learning: The Impact of Classical Preprocessing. | Michael Klle, Jonas Maurer, Philipp Altmann, Leo Snkel, Jonas Stein, Julian Hager, Sebastian Zielinski, Claudia Linnhoff-Popien |
| 2024 | ICAART | Quantum Federated Learning for Image Classification. | Leo Snkel, Philipp Altmann, Michael Klle, Thomas Gabor |
| 2024 | ICCS | Towards Federated Learning on the Quantum Internet. | Leo Snkel, Michael Klle, Tobias Rohe, Thomas Gabor |
| 2024 | QCE | The Questionable Influence of Entanglement in Quantum Optimisation Algorithms. | Tobias Rohe, Danille Schuman, Jonas Nlein, Leo Snkel, Jonas Stein, Claudia Linnhoff-Popien |
| 2024 | QCE | On the Quantum Impact in Hybrid Classical-Quantum Transfer Learning. | Leo Snkel, Philipp Altmann, Michael Klle, Thomas Gabor |
| 2024 | QCE | Applying an Evolutionary Algorithm to Minimize Teleportation Costs in Distributed Quantum Computing. | Leo Snkel, Manik Dawar, Thomas Gabor |
| 2023 | ICAART | SEQUENT: Towards Traceable Quantum Machine Learning Using Sequential Quantum Enhanced Training. | Philipp Altmann, Leo Snkel, Jonas Stein, Tobias Mller, Christoph Roch, Claudia Linnhoff-Popien |
| 2023 | QCE | Towards Transfer Learning for Large-Scale Image Classification Using Annealing-Based Quantum Boltzmann Machines. | Danille Schuman, Leo Snkel, Philipp Altmann, Jonas Stein, Christoph Roch, Thomas Gabor, Claudia Linnhoff-Popien |
| 2023 | QCE | Hybrid Quantum Machine Learning Assisted Classification of COVID-19 from Computed Tomography Scans. | Leo Snkel, Darya Martyniuk, Julia J. Reichwald, Andrei Morariu, Raja Havish Seggoju, Philipp Altmann, Christoph Roch, Adrian Paschke |
| 2020 | ICSE | The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline. | Thomas Gabor, Leo Snkel, Fabian Ritz, Thomy Phan, Lenz Belzner, Christoph Roch, Sebastian Feld, Claudia Linnhoff-Popien |