北京雁栖湖应用数学研究院 北京雁栖湖应用数学研究院

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关于我们
院长致辞
理事会
协作机构
参观来访
人员
管理层
科研人员
博士后
来访学者
行政团队
学术研究
研究团队
公开课
讨论班
招生招聘
教研人员
博士后
学生
会议
学术会议
工作坊
论坛
学院生活
住宿
交通
配套设施
周边旅游
新闻
新闻动态
通知公告
资料下载
清华大学 "求真书院"
清华大学丘成桐数学科学中心
清华三亚国际数学论坛
上海数学与交叉学科研究院
BIMSA > YMSC-BIMSA量子信息讨论班 Formulating Generalized Causal Theories from Independence Conditions
Formulating Generalized Causal Theories from Independence Conditions
组织者
程嵩 , 丁大威 , 刘锦鹏 , 刘正伟 , 刘子文
演讲者
张行健
时间
2024年11月22日 16:00 至 17:30
地点
Shuangqing-B627
线上
Zoom 230 432 7880 (BIMSA)
摘要
Understanding causal relationships is an everlasting theme of scientific research. To interpret correlations between observed variables, a natural thought suggests causal explanations. In classical causal theories, all the variables, including both observed and latent ones, are modelled as random variables. However, as shown by the renowned Bell’s theorem, the classical formulation is incomplete when the latent variables enjoy a quantum nature. In this talk, I will present a new causal model formulated solely from the concept of independence. At a high level, we treat every causal structure as a low-dimensional projection from a high-dimensional Bell-type structure, where valid correlations among observed variables are projected from correlations in the Bell-type structure subjected to the independence conditions. We prove this formulation comprises all the predictions in generalized probabilistic theories. From a mathematical perspective, it reproduces the nested Markov model, an algebraically complete causal model defined by all the equality constraints within a causal structure. Moreover, we show inequality constraints may emerge from the projection of the equality constraints of independence. Nevertheless, we also present causal structures where “physical operations” pose stringently additional inequality constraints. Considering the undebatable role of independence in physics and algebra, we suggest the new model supersets any physically motivated causal theory. If time allows, I will also discuss applications of the new model in causal inference and the discovery of non-classical causal structures.

http://arxiv.org/abs/2411.11614
北京雁栖湖应用数学研究院
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