Probing quantum devices with radio-frequency reflectometry by Vigneau, F, Fedele, F, Chatterjee, A, Reilly, D, Kuemmeth, F, Gonzalez-Zalba, MF, Laird, E, Ares, N

Identifying Pauli spin blockade using deep learning by Schuff, J, Lennon, DT, Geyer, S, Craig, DL, Fedele, F, Vigneau, F, Camenzind, LC, Kuhlmann, AV, Briggs, GAD, Zumbühl, DM, Sejdinovic, D, Ares, N

Quantum device fine-tuning using unsupervised embedding learning by van Esbroeck, NM, Lennon, DT, Moon, H, Nguyen, V, Vigneau, F, Camenzind, LC, Yu, L, Zumbühl, DM, Briggs, GAD, Sejdinovic, D, Ares, N

Ultrastrong coupling between electron tunneling and mechanical motion by Vigneau, F, Monsel, J, Tabanera, J, Aggarwal, K, Bresque, L, Fedele, F, Cerisola, F, Briggs, GAD, Anders, J, Parrondo, JMR, Auffèves, A, Ares, N

Deep reinforcement learning for efficient measurement of quantum devices by Nguyen, V, Orbell, SB, Lennon, DT, Moon, H, Vigneau, F, Camenzind, LC, Yu, L, Zumbuhl, DM, Briggs, GAD, Osborne, MA, Sejdinovic, D, Ares, N

Stability of long-sustained oscillations induced by electron tunneling by Tabanera-Bravo, J, Vigneau, F, Monsel, J, Aggarwal, K, Bresque, L, Fedele, F, Cerisola, F, Briggs, GAD, Anders, J, Auffèves, A, Parrondo, JMR, Ares, N

Bridging the reality gap in quantum devices with physics-aware machine learning by Craig, DL, Moon, H, Fedele, F, Lennon, DT, van Straaten, B, Vigneau, F, Camenzind, LC, Zumbühl, DM, Briggs, GAD, Osborne, MA, Sejdinovic, D, Ares, N

Machine learning enables completely automatic tuning of a quantum device faster than human experts by Moon, H, Lennon, DT, Kirkpatrick, J, van Esbroeck, NMV, Camenzind, LC, Yu, L, Vigneau, F, Zumbühl, DM, Briggs, GAD, Osborne, MA, Sejdinovic, D, Laird, EA, Ares, N

Sensitive radio-frequency read-out of quantum dots using an ultra-low-noise SQUID amplifier by Schupp, FJ, Vigneau, F, Wen, Y, Mavalankar, A, Griffiths, J, Jones, GAC, Farrer, I, Ritchie, DA, Smith, CG, Camenzind, LC, Yu, L, Zumbühl, DM, Briggs, GAD, Ares, N, Laird, EA

Cross-architecture tuning of silicon and SiGe-based quantum devices using machine learning by Severin, B, Lennon, DT, Camenzind, LC, Vigneau, F, Fedele, F, Jirovec, D, Ballabio, A, Chrastina, D, Isella, G, de Kruijf, M, Carballido, MJ, Svab, S, Kuhlmann, AV, Geyer, S, Froning, FNM, Moon, H, Osborne, MA, Sejdinovic, D, Katsaros, G, Zumbühl, DM, Briggs, GAD, Ares, N