| Prog-QAOA: Framework for resource-efficient quantum optimization through classical programs B Bakó, A Glos, Ö Salehi, Z Zimborás Quantum 9, 1663, 2025 | 28* | 2025 |
| Hybrid quantum-classical autoencoders for end-to-end radio communication Z Tabi, B Bakó, DTR Nagy, P Vaderna, Z Kallus, P Hága, Z Zimborás 2022 IEEE/ACM 7th Symposium on Edge Computing (SEC), 468-473, 2022 | 10 | 2022 |
| Quantum-Classical Autoencoder Architectures for End-to-End Radio Communication ZI Tabi, B Bakó, DTR Nagy, P Vaderna, Z Kallus, P Hága, Z Zimborás IEEE Access, 2025 | 5 | 2025 |
| Problem-informed graphical quantum generative learning B Bakó, DTR Nagy, P Hága, Z Kallus, Z Zimborás arXiv preprint arXiv:2405.14072, 2024 | 5 | 2024 |
| Hybrid quantum-classical reinforcement learning in latent observation spaces DTR Nagy, C Czabán, B Bakó, P Hága, Z Kallus, Z Zimborás Quantum Machine Intelligence 7 (2), 88, 2025 | 4 | 2025 |
| Fermionic Born Machines: Classical training of quantum generative models based on Fermion Sampling B Bakó, Z Kolarovszki, Z Zimborás arXiv preprint arXiv:2511.13844, 2025 | 1 | 2025 |
| Exponential distillation of dominant eigenproperties B Bakó, T Araki, B Koczor arXiv preprint arXiv:2506.04380, 2025 | 1 | 2025 |
| Structured Models for Quantum Generative Learning B Bakó, Z Kolarovszki, Z Zimboras SMT 2025, 2025 | | 2025 |
| Space-Efficient Embedding of the Clique Cover Problem for Quantum Optimization B Bakó, DTR Nagy, P Hága, Z Kallus, Z Zimborás 2023 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2023 | | 2023 |
Zoltán ZimborásProfessor at University of Helsinki & Researcher at AlgorithmiqVerified email at helsinki.fi
