Showing 1 - 5 results of 5 for search 'Zumbuhl, DM', query time: 0.02s
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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
Published 2020Journal article -
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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
Published 2021Journal article -
3
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
Published 2024Journal article -
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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
Published 2020Journal article -
5
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
Published 2020Journal article