Anisotropic etching of graphite and graphene in a remote hydrogen plasma by D. Hug, S. Zihlmann, M. K. Rehmann, Y. B. Kalyoncu, T. N. Camenzind, L. Marot, K. Watanabe, T. Taniguchi, D. M. Zumbühl

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Evolution of the quantum Hall bulk spectrum into chiral edge states by T. Patlatiuk, C. P. Scheller, D. Hill, Y. Tserkovnyak, G. Barak, A. Yacoby, L. N. Pfeiffer, K. W. West, D. M. Zumbühl

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Quantum device fine-tuning using unsupervised embedding learning by N M van Esbroeck, D T Lennon, H Moon, V Nguyen, F Vigneau, L C Camenzind, L Yu, D M Zumbühl, G A D Briggs, D Sejdinovic, N Ares

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Deep reinforcement learning for efficient measurement of quantum devices by V. Nguyen, S. B. Orbell, D. T. Lennon, H. Moon, F. Vigneau, L. C. Camenzind, L. Yu, D. M. Zumbühl, G. A. D. Briggs, M. A. Osborne, D. Sejdinovic, N. Ares

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Bridging the Reality Gap in Quantum Devices with Physics-Aware Machine Learning by D. L. Craig, H. Moon, F. Fedele, D. T. Lennon, B. van Straaten, F. Vigneau, L. C. Camenzind, D. M. Zumbühl, G. A. D. Briggs, M. A. Osborne, D. Sejdinovic, N. Ares

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Strong spin-orbit interaction and g-factor renormalization of hole spins in Ge/Si nanowire quantum dots by F. N. M. Froning, M. J. Rančić, B. Hetényi, S. Bosco, M. K. Rehmann, A. Li, E. P. A. M. Bakkers, F. A. Zwanenburg, D. Loss, D. M. Zumbühl, F. R. Braakman

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Machine learning enables completely automatic tuning of a quantum device faster than human experts by H. Moon, D. T. Lennon, J. Kirkpatrick, N. M. van Esbroeck, L. C. Camenzind, Liuqi Yu, F. Vigneau, D. M. Zumbühl, G. A. D. Briggs, M. A. Osborne, D. Sejdinovic, E. A. Laird, N. Ares

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