Quantum Coherence Lab

Zumbühl Group

 

Published in New Journal of Physics: Fine-tuning with unsuperv. embedding learning

We demonstrate an algorithm capable of fi ne-tuning several device parameters at once. The algorithm acquires a measurement, scores it using a variational auto-encoder, and optimizes gate voltage via the score in real-time in an unsupervised fashion. New Journal of Physics 22, 095003 (Sept 22, 2020)