实验探测慢退火Ising模型中的动力学相变数据

主要面向量子信息基本问题的研究，受到国家重点研发计划项目2017YFA0304102支持，在我们的工作中，借助囚禁离子作为量子模拟器，在实验上研究了Ising模型慢淬火过程的动力学量子相变现象。实验结果显示，通过改变淬火速率，我们可以控制动力学量子相变是否发生。此外，我们还实验观察到了动力学拓扑序参数随演化时间振荡这一慢淬火过程中动力学量子相变的特有行为。数据量4.2MB。

This dataset is dedicated to research on fundamental issues in quantum information, and was supported by the National Key R&D Program of China under Grant No. 2017YFA0304102. In our work, trapped ions were employed as quantum simulators to experimentally investigate the dynamical quantum phase transitions during the slow quenching process of the Ising model. The experimental results demonstrate that the occurrence of dynamical quantum phase transitions can be controlled by adjusting the quenching rate. Additionally, we experimentally observed the oscillation of the dynamical topological order parameter with the evolution time, which is a characteristic behavior of dynamical quantum phase transitions in the slow quenching process. The total size of this dataset is 4.2 MB.

搜集汇总

背景与挑战

背景概述

该数据集通过囚禁离子量子模拟器，实验研究了Ising模型慢退火过程中的动力学量子相变现象。其关键发现包括：淬火速率可控制相变是否发生，并观察到了动力学拓扑序参数随演化时间振荡的特有行为。数据集由中国科学技术大学创建，属于物理学量子光学领域，数据量约为4MB，包含13个文件。