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Showing 1–3 of 3 results
Advanced filters: Author: Xiaodie Lin Clear advanced filters

  • Optimization lies at the core of both quantum physics and machine learning. By combining them, the authors introduce a method which uses classical generative models for variational optimization. This method is shown to provide fast training convergence and generate diverse, nearly optimal solutions for a wide range of quantum tasks.

    • Lingxia Zhang
    • Xiaodie Lin
    • Zizhu Wang
    ResearchOpen Access
    Communications Physics
    Volume: 8, P: 1-9

  • In two dimensions magnetic order without magnetic anisotropy is forbidden, making 2D magnetic systems a rich playground for interesting physics. Here, Xian et al. fabricate monolayers of CrTe2, and demonstrate antiferromagnetic ordering, with spin reorientation at finite magnetic fields.

    • Jing-Jing Xian
    • Cong Wang
    • Ying-Shuang Fu
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-9

  • Quantum metrology is one of the most promising applications of quantum science and technology, yet noise often constrains its precision and sensitivity. We propose enhanced virtual purification methods to address the significant noise accumulation and additional noise from the implementations, which demonstrate quantum advantage under specific scenarios.

    • Xiaodie Lin
    • Haidong Yuan
    ResearchOpen Access
    Communications Physics
    Volume: 8, P: 1-9