Deep Reinforcement Learning for Efficient Measurement of Quantum Devices

S. B. Orbell
S. B. Orbell
D. T. Lennon
D. T. Lennon
H. Moon
H. Moon
F. Vigneau
F. Vigneau
Cited by: 0|Views21

Abstract:

Deep reinforcement learning is an emerging machine learning approach which 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 proposes a novel approach to the efficient meas...More

Code:

Data:

Full Text
Bibtex
Your rating :
0

 

Tags
Comments