arXivDaily arXiv每日学术速递 周一至周五更新
北美退伍军人节（Veterans Day），12 日无更新
arXiv 2601.06265quant-ph
收藏

潜在分裂作为因果探测

Latent splitting as a causal probe

International Institute of Physics, Federal University of Rio Grande do Norte（国际物理研究所，北里奥格兰德联邦大学）；Departamento de Física Teórica e Experimental, Federal University of Rio Grande do Norte（理论与实验物理系，北里奥格兰德联邦大学）；Perimeter Institute for Theoretical Physics（理论物理珀蒂默研究所）；Institute for Quantum Computing, University of Waterloo（量子计算研究所，滑铁卢大学）；Inria Paris-Saclay（巴黎萨克雷法国国家信息与自动化研究所）；CPHT, LIX, Ecole polytechnique, Institut Polytechnique de Paris（CPHT, LIX, 巴黎综合理工学院，巴黎理工学院）；Università degli Studi di Pavia, Dipartimento di Fisica, QUIT Group（帕维亚大学，物理系，QUIT小组）；School of Science and Technology, Federal University of Rio Grande do Norte（科学与工程学院，北里奥格兰德联邦大学）

Santiago Zamora, Pedro Lauand, Isadora Veeren, Davide Poderini, Rafael Chaves

备注：
14 pages, 7 figures
阅读 PDF
arXiv 页面 ↗HTML 原文 ↗

AI总结：

本文提出潜在分裂方法，用于在量子网络中通过结合观测和干预数据检测非经典性，解决了传统干预失效的问题。

摘要：

贝尔框架对因果网络的推广带来了新的基础见解和应用，包括使用干预来增强在通信场景中非经典性的检测。然而，当所有可观测变量都是空间状分离时，这些干预却变得无信息。为了解决这一限制，我们引入了潜在分裂程序，这是对量子网络中干预的一种推广，在其中对潜在量子系统进行受控操作。我们证明，潜在分裂通过结合观测和干预数据来检测非经典性，即使传统干预失败。聚焦于三角网络，我们推导出新的分析见证者，能够稳健地认证非经典性，包括针对最小二元变量场景的非线性不等式以及先前提出实验的非经典区域扩展。

英文摘要：

Generalizations of Bell's framework to causal networks have yielded new foundational insights and applications, including the use of interventions to enhance the detection of nonclassicality in scenarios with communication. Such interventions, however, become uninformative when all observable variables are space-like separated. To address this limitation, we introduce the latent splitting procedure, a generalization of interventions to quantum networks in which controlled manipulations are applied to latent quantum systems. We show that latent splitting enables the detection of nonclassicality by combining observational and interventional data even when conventional interventions fail. Focusing on the triangle network, we derive new analytical witnesses that robustly certify nonclassicality, including nonlinear inequalities for minimal binary-variable scenarios and extensions of the nonclassical region of previously proposed experiments.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。

↑