Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control von Rabault, Jean, Kuchta, Miroslav, Jensen, Atle, Réglade, Ulysse, Cerardi, Nicolas

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Irreversible Qubit-Photon Coupling for the Detection of Itinerant Microwave Photons von Lescanne, Raphaël, Deléglise, Samuel, Albertinale, Emanuele, Réglade, Ulysse, Capelle, Thibault, Ivanov, Edouard, Jacqmin, Thibaut, Leghtas, Zaki, Flurin, Emmanuel

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Exploiting locality and translational invariance to design effective deep reinforcement learning control of the 1-dimensional unstable falling liquid film von Belus, Vincent, Rabault, Jean, Viquerat, Jonathan, Che, Zhizhao, Hachem, Elie, Reglade, Ulysse

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Harnessing two-photon dissipation for enhanced quantum measurement and control von Marquet, Antoine, Dupouy, Simon, Ulysse Réglade, Essig, Antoine, Cohen, Joachim, Albertinale, Emanuele, Bienfait, Audrey, Peronnin, Théau, Jezouin, Sébastien, Lescanne, Raphaël, Huard, Benjamin

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Quantum control of a cat-qubit with bit-flip times exceeding ten seconds von Ulysse Réglade, Bocquet, Adrien, Gautier, Ronan, Cohen, Joachim, Marquet, Antoine, Albertinale, Emanuele, Pankratova, Natalia, Mattis Hallén, Rautschke, Felix, Lev-Arcady Sellem, Rouchon, Pierre, Sarlette, Alain, Mirrahimi, Mazyar, Campagne-Ibarcq, Philippe, Lescanne, Raphaël, Jezouin, Sébastien, Zaki Leghtas

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Harnessing two-photon dissipation for enhanced quantum measurement and control von Marquet, A., Dupouy, S., Réglade, U., Essig, A., Cohen, J., Albertinale, E., Bienfait, A., Peronnin, T., Jezouin, S., Lescanne, R., Huard, B.

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Detecting itinerant microwave photons with engineered non-linear dissipation von Lescanne, Raphaël, Deléglise, Samuel, Albertinale, Emanuele, Ulysse Réglade, Capelle, Thibault, Ivanov, Edouard, Jacqmin, Thibaut, Zaki Leghtas, Flurin, Emmanuel

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Quantum control of a cat qubit with bit-flip times exceeding ten seconds von Réglade, U., Bocquet, A., Gautier, R., Cohen, J., Marquet, A., Albertinale, E., Pankratova, N., Hallén, M., Rautschke, F., Sellem, L.-A., Rouchon, P., Sarlette, A., Mirrahimi, M., Campagne-Ibarcq, P., Lescanne, R., Jezouin, S., Leghtas, Z.

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One Hundred Second Bit-Flip Time in a Two-Photon Dissipative Oscillator von Berdou, C., Murani, A., Réglade, U., Smith, W.C., Villiers, M., Palomo, J., Rosticher, M., Denis, A., Morfin, P., Delbecq, M., Kontos, T., Pankratova, N., Rautschke, F., Peronnin, T., Sellem, L.-A., Rouchon, P., Sarlette, A., Mirrahimi, M., Campagne-Ibarcq, P., Jezouin, S., Lescanne, R., Leghtas, Z.

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Artificial Neural Networks trained through Deep Reinforcement Learning discover control strategies for active flow control von Rabault, Jean, Kuchta, Miroslav, Jensen, Atle, Ulysse Reglade, Cerardi, Nicolas

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A geometrical summation method for the Riemann z\^eta function von Reglade, Ulysse

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Deep Reinforcement Learning achieves flow control of the 2D Karman Vortex Street von Rabault, Jean, Reglade, Ulysse, Cerardi, Nicolas, Kuchta, Miroslav, Jensen, Atle

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Exploiting locality and physical invariants to design effective Deep Reinforcement Learning control of the unstable falling liquid film von Belus, Vincent, Rabault, Jean, Viquerat, Jonathan, Che, Zhizhao, Hachem, Elie, Reglade, Ulysse

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Deep Reinforcement Learning achieves flow control of the 2D Karman Vortex Street von Rabault, Jean, Ulysse Reglade, Cerardi, Nicolas, Kuchta, Miroslav, Jensen, Atle

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