Items where Author is "Laird, E. A."

2021

Mergenthaler, M. and Schupp, F. J. and Nersisyan, A. and Ares, N. and Baumgartner, A. and Schönenberger, C. and Briggs, G. A. D. and Leek, P. J. and Laird, E. A.. (2021) Radio-frequency characterization of a supercurrent transistor made from a carbon nanotube. Materials for Quantum Technology, 1. 035003.

2020

Moon, H. and Lennon, D. T. and Kirkpatrick, J. and van Esbroeck, N. M. and Camenzind, L. C. and Yu, Liuqi and Vigneau, F. and Zumbühl, D. M. and Briggs, G. A. D. and Osborne, M. A. and Sejdinovic, D. and Laird, E. A. and Ares, N.. (2020) Machine learning enables completely automatic tuning of a quantum device faster than human experts. Nature Communications, 11. p. 4161.

Schupp, F. J. and Vigneau, F. and Wen, Y. and Mavalankar, A. and Griffiths, J. and Jones, G. A. C. and Farrer, I. and Ritchie, D. A. and Smith, C. G. and Camenzind, L. C. and Yu, L. and Zumbühl, D. M. and Briggs, G. A. D. and Ares, N. and Laird, E. A.. (2020) Sensitive radiofrequency readout of quantum dots using an ultra-low-noise SQUID amplifier. Journal of Applied Physics, 127 (24). p. 244503.

2019

Lennon, D. T. and Moon, H. and Camenzind, L. C. and Yu, Liuqi and Zumb`uhl, D. M. and Briggs, G. A. D. and Osborne, M. A. and Laird, E. A. and Ares, N.. (2019) Efficiently measuring a quantum device using machine learning. npj Quantum Information, 5. p. 79.