Wavefront shaping has revolutionized the control of light propagation through scattering media, transforming disordered speckles into highly focused optical spots. This breakthrough depends on the accurate and efficient retrieval of scattering matrices, which promises to unlock new possibilities in optical imaging, communication, and sensing. However, a major challenge persists: retrieving scattering matrices from direct intensity measurements, often hindered by the lack of effective prior knowledge or regularization constraints. In this study, we introduce the Gaussian-regularized adaptive statistical prior fast iterative shrinkage-thresholding algorithm (GRASP-FISTA), a novel method designed to overcome this challenge in phase retrieval for scattering media. By exploiting the statistical properties of scattering matrix elements—specifically their circular Gaussian distribution—we impose a robust statistical prior that enhances retrieval accuracy. Integrated with the Plug-and-Play FISTA framework, known for its rapid convergence, GRASP-FISTA offers an efficient and reliable solution to phase retrieval. Experimental validation on multimode fibers, ground glass, and chicken breast tissue demonstrates that GRASP-FISTA reduces iteration counts by 2–3 times, increases robustness against Gaussian noise, and improves reconstruction accuracy. By incorporating statistical constraints into gradient-descent-based methods, GRASP-FISTA significantly broadens the scope of phase retrieval, paving the way for new applications across diverse scattering processes.
{"title":"Retrieving Scattering Matrices With Gaussian Regularized Adaptive Statistical Prior","authors":"Zhengyang Wang, Daixuan Wu, Yuecheng Shen, Jiawei Luo, Jiajun Liang, Jiaming Liang, Zhiling Zhang, Dalong Qi, Yunhua Yao, Lianzhong Deng, Zhenrong Sun, Shian Zhang","doi":"10.1002/lpor.202500120","DOIUrl":"https://doi.org/10.1002/lpor.202500120","url":null,"abstract":"Wavefront shaping has revolutionized the control of light propagation through scattering media, transforming disordered speckles into highly focused optical spots. This breakthrough depends on the accurate and efficient retrieval of scattering matrices, which promises to unlock new possibilities in optical imaging, communication, and sensing. However, a major challenge persists: retrieving scattering matrices from direct intensity measurements, often hindered by the lack of effective prior knowledge or regularization constraints. In this study, we introduce the Gaussian-regularized adaptive statistical prior fast iterative shrinkage-thresholding algorithm (GRASP-FISTA), a novel method designed to overcome this challenge in phase retrieval for scattering media. By exploiting the statistical properties of scattering matrix elements—specifically their circular Gaussian distribution—we impose a robust statistical prior that enhances retrieval accuracy. Integrated with the Plug-and-Play FISTA framework, known for its rapid convergence, GRASP-FISTA offers an efficient and reliable solution to phase retrieval. Experimental validation on multimode fibers, ground glass, and chicken breast tissue demonstrates that GRASP-FISTA reduces iteration counts by 2–3 times, increases robustness against Gaussian noise, and improves reconstruction accuracy. By incorporating statistical constraints into gradient-descent-based methods, GRASP-FISTA significantly broadens the scope of phase retrieval, paving the way for new applications across diverse scattering processes.","PeriodicalId":204,"journal":{"name":"Laser & Photonics Reviews","volume":"8 1","pages":""},"PeriodicalIF":11.0,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143435704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shared entanglement can significantly amplify classical correlations between systems interacting over a limited quantum channel. A natural avenue is to use entanglement of the same dimension as the channel because this allows for unitary encodings, which preserve global coherence until a measurement is performed. Contrasting this, a distributed task based on a qubit channel is demonstrated, for which irreversible encoding operations can outperform any possible coherence-preserving protocol. This corresponds to using high-dimensional entanglement and encoding information by compressing one of the subsystems into a qubit. Demonstrating this phenomenon requires the preparation of a 4D maximally entangled state, the compression of two qubits into one and joint qubit-ququart entangled measurements, with all modules executed at near-optimal fidelity. A proof-of-principle experiment is reported that achieves the advantage by realizing separate systems in distinct and independently controlled paths of a single photon. This result demonstrates the relevance of high-dimensional entanglement and non-unitary operations for enhancing the communication capabilities of standard qubit transmissions.
{"title":"Compression of Entanglement Improves Quantum Communication","authors":"Yu Guo, Hao Tang, Jef Pauwels, Emmanuel Zambrini Cruzeiro, Xiao-Min Hu, Bi-Heng Liu, Yun-Feng Huang, Chuan-Feng Li, Guang-Can Guo, Armin Tavakoli","doi":"10.1002/lpor.202401110","DOIUrl":"https://doi.org/10.1002/lpor.202401110","url":null,"abstract":"Shared entanglement can significantly amplify classical correlations between systems interacting over a limited quantum channel. A natural avenue is to use entanglement of the same dimension as the channel because this allows for unitary encodings, which preserve global coherence until a measurement is performed. Contrasting this, a distributed task based on a qubit channel is demonstrated, for which irreversible encoding operations can outperform any possible coherence-preserving protocol. This corresponds to using high-dimensional entanglement and encoding information by compressing one of the subsystems into a qubit. Demonstrating this phenomenon requires the preparation of a 4D maximally entangled state, the compression of two qubits into one and joint qubit-ququart entangled measurements, with all modules executed at near-optimal fidelity. A proof-of-principle experiment is reported that achieves the advantage by realizing separate systems in distinct and independently controlled paths of a single photon. This result demonstrates the relevance of high-dimensional entanglement and non-unitary operations for enhancing the communication capabilities of standard qubit transmissions.","PeriodicalId":204,"journal":{"name":"Laser & Photonics Reviews","volume":"15 1","pages":""},"PeriodicalIF":11.0,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143417797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yuting Xu, Zhen Chai, Xiaoqin Meng, Yan Xu, Jie Sun, Peng Zhou
Discrete optical system in optically pumped magnetometers (OPMs) presents a significant challenge to their integration into high-spatial-resolution magnetic field detection. Here, the electron spin polarization of <span data-altimg="/cms/asset/79044573-f1b7-4a00-aba0-15fa58fcc3d0/lpor202402292-math-0001.png"></span><math altimg="urn:x-wiley:18638880:media:lpor202402292:lpor202402292-math-0001" display="inline" location="graphic/lpor202402292-math-0001.png">