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Bridging the reality gap in quantum devices with physics-aware machine
  learning

Bridging the reality gap in quantum devices with physics-aware machine learning

22 November 2021
D. L. Craig
H. Moon
F. Fedele
D. Lennon
B. V. Straaten
F. Vigneau
L. Camenzind
D. Zumbuhl
G. Briggs
Michael A. Osborne
D. Sejdinovic
N. Ares
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Papers citing "Bridging the reality gap in quantum devices with physics-aware machine learning"

5 / 5 papers shown
Title
Fully autonomous tuning of a spin qubit
Fully autonomous tuning of a spin qubit
Jonas Schuff
M. J. Carballido
Madeleine Kotzagiannidis
Juan Carlos Calvo
Marco Caselli
...
R. S. Eggli
Taras Patlatiuk
Nathan Korda
D. Zumbuhl
Natalia Ares
11
7
0
06 Feb 2024
Topological gap protocol based machine learning optimization of Majorana
  hybrid wires
Topological gap protocol based machine learning optimization of Majorana hybrid wires
M. Thamm
B. Rosenow
13
0
0
25 May 2023
Machine learning optimization of Majorana hybrid nanowires
Machine learning optimization of Majorana hybrid nanowires
M. Thamm
B. Rosenow
13
9
0
03 Aug 2022
Identifying Pauli spin blockade using deep learning
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
14
5
0
01 Feb 2022
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
185
3,267
0
09 Jun 2012
1