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揭示矩阵产品状态的稳定器组
Guglielmo Lami1,2, Mario Collura1,3
1<a href="https://ror.org/004fze387">International School for Advanced Studies (SISSA)</a>, 34136 Trieste, Italy.
我们开发了一个新的经典算法,以有效地学习矩阵产物状态 (MPS) 的稳定器组. 这种方法准确地估计了稳定器零度,这是量子多体物理学的关键指标,即使对于高度纠的状态.
科学领域:
- 量子信息科学 量子信息科学
- 计算物理 计算物理
- 多体物理多体物理
背景情况:
- 矩阵产品状态 (MPS) 对于模拟一维量子系统至关重要.
- 了解稳定器组是描述量子态及其性质的关键.
- 现有的方法与高度纠的状态作斗争,限制了对非平衡量子物理学的研究.
研究的目的:
- 引入一种新的经典算法,以有效地确定给定的MPS的稳定器组.
- 为了提供一种准确估计稳定剂无效率的方法,一个显著的非稳定剂单调.
- 为了使量子多体物理学的系统研究,特别是在平衡之外.
主要方法:
- 该算法采用了理论上基于保利 (或贝尔) 基础的偏差抽样技术.
- 它产生了一组独立的稳定器发电机.
- 该方法是对受到随机克利福德单元动态的T-doped状态进行基准测试的.
主要成果:
- 该算法准确地估计了高度纠的MPS稳定器零度,其键尺寸高达 χ∼103.3.
- 它证明了O(χ3) 的有利时间复杂性.
- 这项工作提出了第一个有效的方法,以获得一个真正的魔法单调的MPS.
结论:
- 开发的经典算法提供了一种有效的方式来学习MPS的稳定器组.
- 它为对量子多体物理学进行更深入的研究铺平了道路,特别是在非平衡状态下.
- 这种方法推进了量子状态的表征和量子信息杂乱的研究.
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