.png){kind=icon}
返回
Wave function reconstruction based on complex weak values
.png){kind=icon}
OA
AI
DOI：10.1364/OE.552049.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The wave function is important for understanding and predicting the behavior of photons. Recent studies have shown that wave function can be reconstructed through weak measurement. But currently, the relationships of wave function, weak value, and probe are single and not complete. Here, we propose a wave function reconstruction method based on complex weak values and complex shift probes. Four relationships of them are built and the wave function can be reconstructed by position and momentum shift probes. The complex weak values can be obtained by adjusting the pre- and post-selection in weak measurement, while the complex shift probes originate from the complex nature of the Fresnel coefficient in total internal reflection. To demonstrate the feasibility of the proposed scheme, an experiment of phase distribution reconstruction is achieved by a real weak value and a momentum shift probe; the experimental results agree well with the theory and show a high contrast. Therefore, the wave function can be conveniently reconstructed by our scheme and the relationships between the wave function, weak values, and probes become more complete. This work provides a valuable reference for the application of weak measurement in image processing, quantitative phase imaging, and label-free biological imaging. (c) 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement
Keyword:
SPIN
LIGHT
COMPONENT
STATES
CANNOT
期刊
IF:
3.3
论文数:
6.1W
被引数:
14.3W
机构
引用论文
Hippocampal Contributions to the Large-Scale Episodic Memory Network Predict Vivid Visual MemoriesOAAI
OAAI分享收藏
分享收藏Role of beam propagation in Goos-Hanchen and Imbert-Fedorov shifts光束传播在goos-hanchen和imbert-fedorov位移中的作用.png)
OPTICS LETTERSOAAI
OPTICS LETTERSIF3.3
OAAI分享收藏Wireless sensor network lifetime maximization by optimal sensor deployment, activity scheduling, data routing and sink mobility通过优化传感器部署，活动调度，数据路由和sink移动性来最大化无线传感器网络的生命周期
PREAI
分享收藏
查看更多内容