Quantum device fine-tuning using unsupervised embedding learning

Quantum device fine-tuning using unsupervised embedding learning

13 January 2020

D. Sejdinovic

Papers citing "Quantum device fine-tuning using unsupervised embedding learning"

4 / 4 papers shown

Title
Identifying Pauli spin blockade using deep learning Jonas Schuff D. Lennon S. Geyer D. L. Craig F. Fedele ... A. Kuhlmann G. Briggs D. Zumbuhl Dino Sejdinovic N. Ares 30 5 0 01 Feb 2022
Ray-based framework for state identification in quantum dot devices Justyna P. Zwolak T. McJunkin Sandesh S. Kalantre S. Neyens E. MacQuarrie M. A. Eriksson Jacob M. Taylor 17 18 0 23 Feb 2021
Deep Reinforcement Learning for Efficient Measurement of Quantum Devices Vu-Linh Nguyen S. B. Orbell D. Lennon H. Moon F. Vigneau ... D. Zumbuhl G. Briggs Michael A. Osborne D. Sejdinovic N. Ares 30 39 0 30 Sep 2020
Machine learning enables completely automatic tuning of a quantum device faster than human experts H. Moon D. Lennon J. Kirkpatrick N. V. Esbroeck L. Camenzind ... G. Briggs Michael A. Osborne D. Sejdinovic E. Laird N. Ares 16 70 0 08 Jan 2020