通过利用人工智能和量子计算的力量来模拟多体开放量子系统
Lyuzhou Ye1, Yao Wang1, Xiao Zheng2,3
1Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, Anhui 230026, China.
The Journal of chemical physics
|March 24, 2025
概括
人工智能 (AI) 和量子计算 (QC) 提供了模拟复杂多体开放量子系统 (OQS) 的新方法. 这些方法在克服量子消散动力学理解的计算挑战方面表现有前途.
科学领域:
- 量子物理学 量子物理学 是一种量子物理学.
- 计算科学 计算科学
- 人工智能的人工智能
背景情况:
- 模拟多体开放量子系统 (OQS) 是由于复杂的量子相关性而要求计算的.
- 量子系统与它们的环境之间的相互作用,在模拟它们的动态方面带来了重大挑战.
研究的目的:
- 为模拟多体OQS动态提供新兴理论方法的概述.
- 要突出人工智能 (AI) 和量子计算 (QC) 在这个领域的应用.
- 讨论这些新方法的潜力,以解决现有的计算障碍.
主要方法:
- 在第二次量子化中引入消散子嵌入的量子主方程.
- 利用神经量子状态和量子电路来表示量子主方程.
- 应用AI和QC技术来模拟量子消散动力学.
主要成果:
- 在初步研究中展示了基于AI和QC的方法的有希望的性能.
- 验证消散子嵌入量子主方程适用于AI/QC表示的适用性.
- 在模拟多体OQS的量子消散动力学方面取得了早期成功.
结论:
- 基于AI和QC的方法在模拟多体OQS动态方面取得了重大进展.
- 这些技术为克服开放量子系统固有的计算复杂性提供了一条途径.
- 未来的发展对量子科学和技术的更广泛应用具有重大前景.
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