中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Entanglement Generation of Polar Molecules via Deep Reinforcement Learning

文献类型:期刊论文

作者Zhang, Zuo-Yuan; Sun, Zhaoxi; Duan, Tao; Ding, Yi-Kai; Huang, Xinning; Liu, Jin-Ming
刊名JOURNAL OF CHEMICAL THEORY AND COMPUTATION
出版日期2024-02-06
ISSN号1549-9618;1549-9626
DOI10.1021/acs.jctc.3c01214
产权排序3
英文摘要Polar molecules are a promising platform for achieving scalable quantum information processing because of their long-range electric dipole-dipole interactions. Here, we take the coupled ultracold CaF molecules in an external electric field with gradient as qubits and concentrate on the creation of intermolecular entanglement with the method of deep reinforcement learning (RL). After sufficient training episodes, the educated RL agents can discover optimal time-dependent control fields that steer the molecular systems from separate states to two-qubit and three-qubit entangled states with high fidelities. We analyze the fidelities and the negativities (characterizing entanglement) of the generated states as a function of training episodes. Moreover, we present the population dynamics of the molecular systems under the influence of control fields discovered by the agents. Compared with the schemes for creating molecular entangled states based on optimal control theory, some conditions (e.g., molecular spacing and electric field gradient) adopted in this work are more feasible in the experiment. Our results demonstrate the potential of machine learning to effectively solve quantum control problems in polar molecular systems.
语种英语
出版者AMER CHEMICAL SOC
WOS记录号WOS:001163364800001
源URL[http://ir.opt.ac.cn/handle/181661/97224]  
专题西安光学精密机械研究所_瞬态光学技术国家重点实验室
推荐引用方式
GB/T 7714
Zhang, Zuo-Yuan,Sun, Zhaoxi,Duan, Tao,et al. Entanglement Generation of Polar Molecules via Deep Reinforcement Learning[J]. JOURNAL OF CHEMICAL THEORY AND COMPUTATION,2024.
APA Zhang, Zuo-Yuan,Sun, Zhaoxi,Duan, Tao,Ding, Yi-Kai,Huang, Xinning,&Liu, Jin-Ming.(2024).Entanglement Generation of Polar Molecules via Deep Reinforcement Learning.JOURNAL OF CHEMICAL THEORY AND COMPUTATION.
MLA Zhang, Zuo-Yuan,et al."Entanglement Generation of Polar Molecules via Deep Reinforcement Learning".JOURNAL OF CHEMICAL THEORY AND COMPUTATION (2024).

入库方式: OAI收割

来源:西安光学精密机械研究所

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