Quantum device fine-tuning using unsupervised embedding learning

van Esbroeck N. M.
van Esbroeck N. M.
Lennon D. T.
Lennon D. T.
Vigneau F.
Vigneau F.
Yu L.
Yu L.

NEW JOURNAL OF PHYSICS, pp. 0950032020.

Cited by: 0|Views30

Abstract:

Quantum devices with a large number of gate electrodes allow for precise control of device parameters. This capability is hard to fully exploit due to the complex dependence of these parameters on applied gate voltages. We experimentally demonstrate an algorithm capable of fine-tuning several device parameters at once. The algorithm acqui...More

Code:

Data:

Your rating :
0

 

Tags
Comments