Deep reinforcement learning for efficient measurement of quantum devices

Abstract Deep reinforcement learning is an emerging machine-learning approach that can teach a computer to learn from their actions and rewards similar to the way humans learn from experience. It offers many advantages in automating decision processes to navigate large parameter spaces. This paper p...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: V. Nguyen, S. B. Orbell, D. T. Lennon, H. Moon, F. Vigneau, L. C. Camenzind, L. Yu, D. M. Zumbühl, G. A. D. Briggs, M. A. Osborne, D. Sejdinovic, N. Ares
Format: article
Langue:EN
Publié: Nature Portfolio 2021
Sujets:
Accès en ligne:https://doaj.org/article/e474432013bf4457b5b6d76522722bc9
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!