Deep reinforcement learning for efficient measurement of quantum devices

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...

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Bibliographic Details
Main Authors: 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
Language:English
Published: Nature Publishing Group 2021-06-01
Series:npj Quantum Information
Online Access:https://doi.org/10.1038/s41534-021-00434-x

Internet

https://doi.org/10.1038/s41534-021-00434-x

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