利用时空相关性中的几何不对称探测量子因果关系

IF 7.3 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Yu Meng, Zheng-Hao Liu, Zhikuan Zhao, Peng Yin, Yi-Tao Wang, Wei Liu, Zhi-Peng Li, Yuan-Ze Yang, Zhao-An Wang, Jin-Shi Xu, Shang Yu, Jian-Shun Tang, Chuan-Feng Li, Guang-Can Guo
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引用次数: 0

摘要

因果关系通过阐明相关性的内在机制,将对相关性的理解提升到一个更高的阶段。尽管统计学家已经明确了相关性之间可能存在的因果关系,但仅凭经典世界中观测到的相关性来推断因果结构是不可能的。量子相关性囊括了量子物理学中最具决定性的方面,为因果推论问题带来了新的转机--具有可观察到的特征的两点空间和时间量子相关性正好对应于两种最基本的因果结构。然而,量子相关性的直接因果解释只在非常有限的情况下才得以确立。在这里,我们探讨了量子相关性在多大程度上促进了因果推理。从理论上讲,我们发现两点保利相关性的可区分因果机制可以从单一值扩展到非对称区间,而且决定量子相关性的因果结构可以用简单的距离标准来解释。在实验中,我们在光学结构中设计并实现了一个多功能非轨道量子通道,以直接观测这种非对称区间。该装置无需任何主动干预即可实现量子因果推理,而这在经典领域是不可能实现的。我们的工作有助于确定量子变量之间的因果联系,并为描述量子力学中的因果关系和时空相关性提供了见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Probing quantum causality with geometric asymmetry in spatial-temporal correlations

Causation promotes the understanding of correlation to an advanced stage by elucidating its underlying mechanism. Although statisticians have specified the possible causal relations among correlations, inferring causal structures is impossible from only the observed correlations in the classical world. Quantum correlations encapsulating the most defining aspects of quantum physics have taken a new turn for the causal inference problem — the two-point spatial and temporal quantum correlations with observationally discernible characteristics correspond exactly to the two most basic causal structures. However, a direct causal interpretation for quantum correlations has only been established in very limited cases. Here, we explore to what extent quantum correlations promote causal inference. Theoretically, we have found that the distinguishable causal regime of two-point Pauli correlations can be expanded from a single value to an asymmetric interval, and the causal structures determining the quantum correlations can be interpreted by a simple distance criterion. Experimentally, we have devised and implemented a versatile non-unital quantum channel in an optical architecture to directly observe such an asymmetric interval. The setup enabled quantum causal inference without any requirement of active intervention, which is impossible in the classical realm. Our work facilitates the identification of causal links among quantum variables and provides insight into characterizing causation and spatial-temporal correlation in quantum mechanics.

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来源期刊
Science China Information Sciences
Science China Information Sciences COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
12.60
自引率
5.70%
发文量
224
审稿时长
8.3 months
期刊介绍: Science China Information Sciences is a dedicated journal that showcases high-quality, original research across various domains of information sciences. It encompasses Computer Science & Technologies, Control Science & Engineering, Information & Communication Engineering, Microelectronics & Solid-State Electronics, and Quantum Information, providing a platform for the dissemination of significant contributions in these fields.
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