Entanglement Generation of Polar Molecules via Deep Reinforcement Learning | |
Zhang, Zuo-Yuan1; Sun, Zhaoxi2; Duan, Tao3; Ding, Yi-Kai4; Huang, Xinning1; Liu, Jin-Ming4 | |
作者部门 | 瞬态光学研究室 |
发表期刊 | JOURNAL OF CHEMICAL THEORY AND COMPUTATION |
ISSN | 1549-9618;1549-9626 |
产权排序 | 3 |
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. |
DOI | 10.1021/acs.jctc.3c01214 |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:001163364800001 |
出版者 | AMER CHEMICAL SOC |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/97224 |
专题 | 瞬态光学研究室 |
通讯作者 | Zhang, Zuo-Yuan; Huang, Xinning; Liu, Jin-Ming |
作者单位 | 1.Yangzhou Univ, Sch Phys Sci & Technol, Yangzhou 225009, Peoples R China 2.Changping Lab, Beijing 102206, Peoples R China 3.Xian Inst Opt & Precis Mech CAS, State Key Lab Transient Opt & Photon, Xian 710119, Peoples R China 4.East China Normal Univ, Sch Phys & Elect Sci, State Key Lab Precis Spect, Shanghai 200241, Peoples R China |
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. |
APA | Zhang, Zuo-Yuan,Sun, Zhaoxi,Duan, Tao,Ding, Yi-Kai,Huang, Xinning,&Liu, Jin-Ming. |
MLA | Zhang, Zuo-Yuan,et al."Entanglement Generation of Polar Molecules via Deep Reinforcement Learning".JOURNAL OF CHEMICAL THEORY AND COMPUTATION |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Entanglement Generat(2121KB) | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 请求全文 |
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