English(EN) Causality Sum Rules in Conventional Scattering Matrices

人工智能与物理学家共同开发散射矩阵新因果框架

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-12 04:00

已开发出一种新的理论框架，可以直接在常规散射矩阵中表达因果和规求和规则，无需辅助变量。该方法利用每个通道的最早到达延迟来定义延迟矩阵，该矩阵保持实频无源并恢复因果时间原点。该框架最初由人工智能系统“求是引擎”探索，随后由人类研究人员完善，它恢复了现有的求和规则，并将因果界限扩展到插入损耗和延迟带宽权衡等可测量量。 AI

影响这项研究展示了一种混合人工智能-人类方法来进行科学发现，有可能加速未来在物理学和其他领域的突破。

排序理由该集群包含一篇详细介绍人工智能辅助下的物理学新理论框架的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]

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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Ning Han, Rui Zhao, Shuxing Yang, Mingzhu Li, Hongsheng Chen, Yihao Yang · 2026-08-12 04:00

因果关系求和规则在传统散射矩阵中的应用

arXiv:2608.10427v1 Announce Type: cross Abstract: Scattering matrices are the standard experimental and computational description of photonic and electromagnetic devices. Passivity is explicit in the conventional incoming-outgoing matrix, whereas causality sum rules are usually f…

本文如何被排名

报道来源 [1]

因果关系求和规则在传统散射矩阵中的应用

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