张量网络有效地代表了量子多体状态的施密特分解
Peng-Fei Zhou1, Ying Lu1, Jia-Hao Wang1
1Center for Quantum Physics and Intelligent Sciences, Department of Physics, Capital Normal University, Beijing 10048, China.
Physical review letters
|July 28, 2023
概括
我们介绍了施密特张量网络状态 (施密特TNS) 以进行高效的量子状态分析. 这种方法与系统大小线性扩展,使复杂量子系统的全态采样和分析更快.
科学领域:
- 量子多体物理学 量子多体物理学
- 量子信息科学 量子信息科学
- 计算物理 计算物理
背景情况:
- 在量子多体状态中描述纠在计算上具有挑战性,这是由于系统大小 (N) 的指数复杂性缩放.
- 对纠结构的有效访问,特别是施密特分解,对于理解和模拟复杂的量子系统至关重要.
研究的目的:
- 开发一种有效的方法来表示量子多体状态的施密特分解.
- 将施密特张量网络状态 (施密特TNS) 引入用于与系统大小对线性复杂性进行缩放.
- 为了实现有限和无限量子系统的高效全态采样和分析.
主要方法:
- 使用张量网络 (TN) 表示施密特系数 (纠频谱) 和转换.
- 将施密特系数编码为正确定义矩阵积分状态 (MPS).
- 使用局部单元张量来形成转换的TN,并对无限系统强加转换不变性.
主要成果:
- 通过模拟一个丧的准一维旋转模型来证明施密特TNS的有效性.
- 表明编码施密特系数的MPS表现出弱纠,即使对于高度纠的状态.
- 为施密特分解表示实现了与系统大小的线性复杂度缩放.
结论:
- 施密特TNS提供了量子状态纠的高效表示,克服了指数复杂性.
- 施密特系数的MPS的弱纠证明了该方法的效率.
- 这种方法承诺在量子多体系统中实现全态采样任务的指数级加快.
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