3 papers
quant-ph2025
Experimental quantum reservoir computing with a circuit quantum electrodynamics system
Baptiste Carles, Julien Dudas, Léo Balembois +2
Quantum reservoir computing is a machine learning framework that offers ease of training compared to other quantum neural networks, as it does not rely on gradient-based optimizati…
quant-ph2024
Training the parametric interactions in an analog bosonic quantum neural network with Fock basis measurement
Julien Dudas, Baptiste Carles, Elie Gouzien +2
Quantum neural networks promise to extend the power of machine learning into the quantum domain, with potential applications ranging from automatic recognition of quantum states to…
quant-ph2022
Quantum reservoir neural network implementation on coherently coupled quantum oscillators
Julien Dudas, Baptiste Carles, Erwan Plouet +3
Quantum reservoir computing is a promising approach for quantum neural networks, capable of solving hard learning tasks on both classical and quantum input data. However, current a…