Premium
Reconstruction of a Photonic Qubit State with Reinforcement Learning (Adv. Quantum Technol. 7‐8/2019)
Author(s) -
Yu Shang,
AlbarránArriagada Francisco,
Retamal Juan Carlos,
Wang YiTao,
Liu Wei,
Ke ZhiJin,
Meng Yu,
Li ZhiPeng,
Tang JianShun,
Solano Enrique,
Lamata Lucas,
Li ChuanFeng,
Guo GuangCan
Publication year - 2019
Publication title -
advanced quantum technologies
Language(s) - English
Resource type - Journals
ISSN - 2511-9044
DOI - 10.1002/qute.201970041
Subject(s) - reinforcement learning , photonics , qubit , quantum , reinforcement , photon , state (computer science) , quantum mechanics , computer science , quantum state , physics , artificial intelligence , algorithm , engineering , structural engineering
When quantum mechanics meets the machine learning techniques, enhanced protocols and opportunities can be expected. In article number 1800074, Shang Yu, Jian‐Shun Tang, Chuan‐Feng Li and co‐workers consider a reinforcement learning algorithm and apply it on the quantum photonics hardware for reconstructing an unknown quantum state with a limited amount of photon copies. This experiment successfully exhibits the advantages of the combination of optical quantum experiments and reinforcement learning.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom