近日,同济大学何涛团队研究了虚坡印亭动量:偏振拓扑和多功能光学操纵。相关论文发表在2026年3月17日出版的《国家科学评论》杂志上。
虚坡印亭动量(IPM)作为光的一种固有而神秘的属性,其普遍性几乎不亚于其实数对应物。然而,既往研究仅将其起源追溯至强度不对称性,并展示了其在利用倏逝波和结构光进行粒子操控中的应用潜力。从根本上看,IPM与偏振拓扑结构之间的相互作用尚未得到探索,这极大地限制了其潜在应用。
研究组观测到IPM中的高阶偏振拓扑荷(PTC),并将其功能拓展至多功能粒子操控领域。PTC源于矢量光束中线偏振的空间分布。当PTC等于1时,IPM可用于旋转粒子;值得注意的是,对于高阶PTC,则会出现旋转方向可控的旋转势阱阵列,能够捕获并旋转不同数量的粒子。研究组通过探究IPM与偏振分布之间的关联,揭示了对其更全面完整的理解,同时提出了一种利用偏振拓扑光学力的可靠方法,为生物物理和量子应用领域提供了重要潜力。
附:英文原文
Title: Imaginary poynting momentum: polarization topology and versatile optical manipulation
Author: Zhu, Yuchen, Shi, Yuzhi, He, Tao, Song, Qinghua, Chen, Weijin, Lai, Chengxing, Wei, Zeyong, Dun, Xiong, Wang, Zhanshan, Chan, C T, Qiu, Cheng-Wei, Cheng, Xinbin
Issue&Volume: 2026-03-17
Abstract: The imaginary Poynting momentum (IPM), as an intrinsic yet mysterious property of light, is nearly as ubiquitous as its real counterpart. However, prior research has only traced its origin to intensity asymmetry and showcased its capability in particle manipulation using evanescent waves and structured light. Fundamentally, the interplay between the IPM and polarization topology remains unexplored, significantly restricting its potential applications. Here, we observe the high-order polarization topological charges (PTCs) in the IPM and expand their capabilities in versatile particle manipulation. PTCs originate from spatial distributions of linear polarizations in vector beams. When the PTC equals 1, the IPM can be utilized to rotate particles. Distinctively, for higher-order PTCs, rotational potential-well arrays with controllable rotation directions emerge to trap and rotate various numbers of particles. This work uncovers a holistic and complete understanding of the IPM by investigating its link to the polarization distribution. It also suggests a credible way to harness polarization-topology optical forces, offering significant potential for biophysical and quantum applications.
DOI: 10.1093/nsr/nwag171
Source: https://dx.doi.org/10.1093/nsr/nwag171
National Science Review:《国家科学评论》,创刊于2014年。隶属于牛津学术数据库,最新IF:20.6
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