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quant-ph2024
Understanding the effects of data encoding on quantum-classical convolutional neural networks
Maureen Monnet, Nermine Chaabani, Theodora-Augustina Dragan +2
Quantum machine learning was recently applied to various applications and leads to results that are comparable or, in certain instances, superior to classical methods, in particula…
quant-ph2024
Quantum Multi-Agent Reinforcement Learning for Aerial Ad-hoc Networks
Theodora-Augustina Drăgan, Akshat Tandon, Carsten Strobel +2
Quantum machine learning (QML) as combination of quantum computing with machine learning (ML) is a promising direction to explore, in particular due to the advances in realizing qu…