IEEE Photonics Technology Letters最新文献_第8页

Heterogeneously Integrated III-V/Silicon C-Band Tunable Lasers on 300-mm Silicon Photonic Wafers 在300毫米硅光子晶片上异质集成III-V/硅c波段可调谐激光器

IF 2.3 3区工程技术

IEEE Photonics Technology Letters Pub Date : 2025-06-23 DOI: 10.1109/LPT.2025.3581932

Guan-Lin Su;Ranjeet Kumar;Duanni Huang;David Gold;Richard Jones;Haisheng Rong

引用次数: 0

Transparent Carrier Phase Recovery Based on an Artificial Neural Network 基于人工神经网络的透明载波相位恢复

IF 2.5 3区工程技术

IEEE Photonics Technology Letters Pub Date : 2025-06-23 DOI: 10.1109/LPT.2025.3582338

Tobias Blatter;Chenrui Xu;Serge Kaufmann;Laurenz Kulmer;Yannik Horst;Juerg Leuthold

引用次数: 0

Broadband Absorption and Switchable Multiband Polarization Conversion via Graphene-VO2 Metasurface 基于石墨烯- vo2超表面的宽带吸收和可切换多波段偏振转换

IF 2.3 3区工程技术

IEEE Photonics Technology Letters Pub Date : 2025-06-19 DOI: 10.1109/LPT.2025.3581323

Shuo Zhang;Yazheng Hao;Guotai Liu;Rui Yang

引用次数: 0

Implementation of 105 m Dynamic Underwater Wireless Optical Communication in the Deep Sea 105米动态水下无线光通信在深海中的实现

IF 2.3 3区工程技术

IEEE Photonics Technology Letters Pub Date : 2025-06-18 DOI: 10.1109/LPT.2025.3580742

Tingwei Fan;Tianhua Zhou;Guyu Hu;Hanbin Gu

引用次数: 0

End-to-End Learning of Probabilistic Constellation Shaping Through Importance Sampling 基于重要性抽样的概率星座形成的端到端学习

IF 2.3 3区工程技术

IEEE Photonics Technology Letters Pub Date : 2025-06-18 DOI: 10.1109/LPT.2025.3580672

Shrinivas Chimmalgi;Laurent Schmalen;Vahid Aref

{"title":"End-to-End Learning of Probabilistic Constellation Shaping Through Importance Sampling","authors":"Shrinivas Chimmalgi;Laurent Schmalen;Vahid Aref","doi":"10.1109/LPT.2025.3580672","DOIUrl":"https://doi.org/10.1109/LPT.2025.3580672","url":null,"abstract":"Probabilistic constellation shaping enables easy rate adaption and has been proven to reduce the gap to Shannon capacity. Constellation point probabilities are optimized to maximize either the mutual information or the bit-wise mutual information. The optimization problem is however challenging even for simple channel models. While autoencoder-based machine learning has been applied successfully to solve this problem, it requires manual computation of additional terms for the gradient which is an error-prone task. In this work, we present novel loss functions for autoencoder-based learning of probabilistic constellation shaping for coded modulation systems using automatic differentiation and importance sampling. We show analytically that our proposed approach also uses exact gradients of the constellation point probabilities for the optimization. In simulations, our results closely match the results from (Aref and Chagnon, 2022) for the additive white Gaussian noise channel and a simplified model of the intensity-modulation direct-detection channel.","PeriodicalId":13065,"journal":{"name":"IEEE Photonics Technology Letters","volume":"37 18","pages":"1077-1080"},"PeriodicalIF":2.3,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11039765","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144519470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Neural Architecture Search Generated Phase Retrieval Net for Real-Time Off-Axis Quantitative Phase Imaging 神经结构搜索生成的实时离轴定量相位成像相位检索网络

IF 2.3 3区工程技术

IEEE Photonics Technology Letters Pub Date : 2025-06-18 DOI: 10.1109/LPT.2025.3581063

Xin Shu;Mengxuan Niu;Yi Zhang;Wei Luo;Renjie Zhou

{"title":"Neural Architecture Search Generated Phase Retrieval Net for Real-Time Off-Axis Quantitative Phase Imaging","authors":"Xin Shu;Mengxuan Niu;Yi Zhang;Wei Luo;Renjie Zhou","doi":"10.1109/LPT.2025.3581063","DOIUrl":"https://doi.org/10.1109/LPT.2025.3581063","url":null,"abstract":"In off-axis Quantitative Phase Imaging (QPI), artificial neural networks have been recently applied for phase retrieval with aberration compensation and phase unwrapping. However, the involved neural network architectures are largely unoptimized and inefficient with low inference speed, which hinders the realization of real-time imaging. Here, we propose a Neural Architecture Search (NAS) generated Phase Retrieval Net (NAS-PRNet) for accurate and fast phase retrieval. NAS-PRNet is an encoder-decoder style neural network, automatically found from a large neural network architecture search space through NAS. By modifying the differentiable NAS scheme from SparseMask, we learn the optimized skip connections through gradient descent. Specifically, we implement MobileNet-v2 as the encoder and define a synthesized loss that incorporates phase reconstruction loss and network sparsity loss. NAS-PRNet has achieved high-fidelity phase retrieval by achieving a peak Signal-to-Noise Ratio (PSNR) of 36.7 dB and a Structural SIMilarity (SSIM) of 86.6% as tested on interferograms of biological cells. Notably, NAS-PRNet achieves phase retrieval in only 31 ms, representing <inline-formula> <tex-math>$15times $ </tex-math></inline-formula> speedup over the most recent Mamba-UNet with only a slightly lower phase retrieval accuracy.","PeriodicalId":13065,"journal":{"name":"IEEE Photonics Technology Letters","volume":"37 18","pages":"1069-1072"},"PeriodicalIF":2.3,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11039840","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144519329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Symbol-Block Ciphering With CBC Mode for Secure Digital Coherent Optical Communication 安全数字相干光通信的CBC模式符号块加密

IF 2.3 3区工程技术

IEEE Photonics Technology Letters Pub Date : 2025-06-17 DOI: 10.1109/LPT.2025.3580417

Reika Suketomo;Keiji Shimada;Hodaka Amano;Takahiro Kodama

引用次数: 0

Machine Learning Enhanced Single Crystal Fiber Fabrication via Laser Heated Pedestal Growth 机器学习增强单晶光纤在激光加热基座生长中的制备

IF 2.3 3区工程技术

IEEE Photonics Technology Letters Pub Date : 2025-06-17 DOI: 10.1109/LPT.2025.3580586

Xibao Gao;Sichao Wang;Bo Liu;Xiao Liu;Shuai Qu;Chen Guan;Qinglan Wang

{"title":"Machine Learning Enhanced Single Crystal Fiber Fabrication via Laser Heated Pedestal Growth","authors":"Xibao Gao;Sichao Wang;Bo Liu;Xiao Liu;Shuai Qu;Chen Guan;Qinglan Wang","doi":"10.1109/LPT.2025.3580586","DOIUrl":"https://doi.org/10.1109/LPT.2025.3580586","url":null,"abstract":"This study introduces a machine learning (ML)-assisted framework for optimizing Proportional-Integral-Derivative (PID) coefficients, enabling stable, long-length single crystal fiber (SCF) fabrication via the Laser Heated Pedestal Growth (LHPG) technique. Compared with traditional curve-fitting methods, the proposed ML approach significantly enhances computational efficiency and achieves up to 20dB improvement in prediction accuracy, leading to notable improvements in SCF uniformity and achievable fiber length. The fabricated sapphire SCF demonstrates a length exceeding 3 m and an average diameter of <inline-formula> <tex-math>$150~mu $ </tex-math></inline-formula>m with fluctuations below <inline-formula> <tex-math>$pm 3~mu $ </tex-math></inline-formula>m, validating the effectiveness of the ML model. Additionally, fundamental guidelines for optimizing PID coefficients in LHPG systems are provided. These results offer valuable insights for high-quality SCF fabrication and are expected to facilitate the production of improved fibers suitable for harsh environment sensing applications.","PeriodicalId":13065,"journal":{"name":"IEEE Photonics Technology Letters","volume":"37 18","pages":"1017-1020"},"PeriodicalIF":2.3,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144481920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

kHz-Resolution Frequency Measurement Based on Selective High-Order Modes in a Micro-Resonator 基于微谐振腔中选择性高阶模式的khz分辨率频率测量

IF 2.3 3区工程技术

IEEE Photonics Technology Letters Pub Date : 2025-06-17 DOI: 10.1109/LPT.2025.3580637

Yuwei Jian;Wufei Zhou;Wenping Zhong;Jinxin Li;Ruiqi Zheng;Jingxu Chen;Lingzhi Li;Jiejun Zhang;Jianping Yao

{"title":"kHz-Resolution Frequency Measurement Based on Selective High-Order Modes in a Micro-Resonator","authors":"Yuwei Jian;Wufei Zhou;Wenping Zhong;Jinxin Li;Ruiqi Zheng;Jingxu Chen;Lingzhi Li;Jiejun Zhang;Jianping Yao","doi":"10.1109/LPT.2025.3580637","DOIUrl":"https://doi.org/10.1109/LPT.2025.3580637","url":null,"abstract":"We propose a photonic microwave frequency measurement system with kHz resolution for the instantaneous measurement of the Doppler frequency shift (DFS)of a moving object. By joint use of an optical frequency comb (OFC) generator implemented by cascading an intensity modulator (IM) and a phase modulator (PM) and a high-Q metal-coated micro-disk resonator (MDR), an ultra-sensitive amplitude comparison function (ACF) for frequency-to-power mapping is established, which enables ultra-high sensitivity frequency measurement. The proposed technique is experimentally demonstrated. A Doppler signal is applied to the two modulators to generate multiple sidebands corresponding to an optical comb. By aligning the ±3-rd order sidebands with the steep slopes of two adjacent notches of the metal-coated MDR, an ACF is obtained. A frequency measurement sensitivity of 2.28 dB/MHz is experimentally achieved. With a power measurement resolution of 0.01 dB, the frequency measurement resolution is 4.37 kHz, which is the highest ever reported based on photonic techniques. It enables Doppler frequency shift measurement for an object moving at speeds between 40.34 to 1384 m/s.","PeriodicalId":13065,"journal":{"name":"IEEE Photonics Technology Letters","volume":"37 18","pages":"1037-1040"},"PeriodicalIF":2.3,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144481890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Bidirectional 100G/150G Amplified Transmission With a QD-SOA for Future Passive Optical Networks 面向未来无源光网络的QD-SOA双向100G/150G放大传输

IF 2.3 3区工程技术

IEEE Photonics Technology Letters Pub Date : 2025-06-16 DOI: 10.1109/LPT.2025.3580280

Ahmed Galib Reza;Lakshmi Narayanan Venkatasubramani;Vladimir S. Mikhrin;Alexey Gubenko;Liam P. Barry

引用次数: 0