核反应与神经网络量子状态的核反应
Elad Parnes1, Nir Barnea1, Giuseppe Carleo2
1The Hebrew University, Racah Institute of Physics, Jerusalem 91904, Israel.
Physical review letters
|February 6, 2026
概括
我们开发了一个新的计算框架,将神经网络和量子力学结合起来,以研究自我绑定的量子系统. 这种方法准确地预测了核光吸收横截面,提供了与实验数据的可靠比较.
科学领域:
- 量子多体物理学 量子多体物理学
- 计算物理 计算物理
- 核物理 核物理 核物理
背景情况:
- 研究量子系统的动态特性在计算上具有挑战性.
- 准确的理论预测需要强大的方法和不确定性量化.
- 光核的光吸收截面对于核结构研究很重要.
研究的目的:
- 为量子多体系统引入一种新的变量蒙特卡洛框架.
- 计算自结合系统的动态特性,特别是光吸收横截面.
- 用轻核验证框架并与现有基准进行比较.
主要方法:
- 将神经网络量子状态与洛伦茨积分转换技术相结合.
- 在连续希尔伯特空间中使用变量蒙特卡洛方法.
- 采用一个领先的无有效场理论 (EFT) 扩展用于核哈密尔顿.
主要成果:
- 对光核的光吸收截面进行准确的理论预测.
- 对于理论结果,可靠的不确定性量化.
- 证明一个简单的核哈密尔顿式提供可靠的光吸收预测.
结论:
- 开发的框架广泛适用于各种量子系统.
- 该方法为核光吸收提供了准确可靠的预测.
- 这项研究验证了特定的核哈密尔顿式对动态性质的使用.
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