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quant-ph2025
Problem-informed Graphical Quantum Generative Learning
Bence Bakó, Dániel T. R. Nagy, Péter Hága +2
Leveraging the intrinsic probabilistic nature of quantum systems, generative quantum machine learning (QML) offers the potential to outperform classical learning models. Current ge…
quant-ph2025
Hybrid Quantum-Classical Reinforcement Learning in Latent Observation Spaces
Dániel T. R. Nagy, Csaba Czabán, Bence Bakó +3
Recent progress in quantum machine learning has sparked interest in using quantum methods to tackle classical control problems via quantum reinforcement learning. However, the clas…
quant-ph2024
Quantum-Classical Autoencoder Architectures for End-to-End Radio Communication
Zsolt I. Tabi, Bence Bakó, Dániel T. R. Nagy +4
This paper presents a comprehensive study on the possible hybrid quantum-classical autoencoder architectures for end-to-end radio communication against noisy channel conditions usi…