Shu Zhu, Chutian Wang, Jianqing Huang, Pei Zhang, Jing Han, Edmund Y. Lam
{"title":"Neuromorphic encryption: combining speckle correlography and event data for enhanced security","authors":"Shu Zhu, Chutian Wang, Jianqing Huang, Pei Zhang, Jing Han, Edmund Y. Lam","doi":"10.1117/1.apn.3.5.056002","DOIUrl":"https://doi.org/10.1117/1.apn.3.5.056002","url":null,"abstract":". Leveraging an optical system for image encryption is a promising approach to information security since one can enjoy parallel, high-speed transmission, and low-power consumption encryption features. However, most existing optical encryption systems involve a critical issue that the dimension of the ciphertexts is the same as the plaintexts, which may result in a cracking process with identical plaintext-ciphertext forms. Inspired by recent advances in computational neuromorphic imaging (CNI) and speckle correlography, a neuromorphic encryption technique is proposed and demonstrated through proof-of-principle experiments. The original images can be optically encrypted into event-stream ciphertext with a high-level information conversion form. To the best of our knowledge, the proposed method is the first implementation for event-driven optical image encryption. Due to the high level of encryption data with the CNI paradigm and the simple optical setup with a complex inverse scattering process, our solution has great potential for practical security applications. This method gives impetus to the image encryption of the visual information and paves the way for the CNI-informed applications of speckle correlography.","PeriodicalId":223078,"journal":{"name":"Advanced Photonics Nexus","volume":" 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141828516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yunhao Xie, Zhao Yang, Mengyue Shi, Q. Zhuge, Weisheng Hu, L. Yi
{"title":"100 Gb/s coherent chaotic optical communication over 800 km fiber transmission via advanced digital signal processing","authors":"Yunhao Xie, Zhao Yang, Mengyue Shi, Q. Zhuge, Weisheng Hu, L. Yi","doi":"10.1117/1.apn.3.1.016003","DOIUrl":"https://doi.org/10.1117/1.apn.3.1.016003","url":null,"abstract":"","PeriodicalId":223078,"journal":{"name":"Advanced Photonics Nexus","volume":"9 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139172904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yifan Zhao, Jun Liu, Shuhui Li, Andong Wang, Long Zhu, Yan Luo, Shi Chen, Nan Zhou, Shuang Zheng, Jing Du, Jian Wang
{"title":"Secure optical interconnects using orbital angular momentum beams multiplexing/multicasting","authors":"Yifan Zhao, Jun Liu, Shuhui Li, Andong Wang, Long Zhu, Yan Luo, Shi Chen, Nan Zhou, Shuang Zheng, Jing Du, Jian Wang","doi":"10.1117/1.apn.3.1.016004","DOIUrl":"https://doi.org/10.1117/1.apn.3.1.016004","url":null,"abstract":"","PeriodicalId":223078,"journal":{"name":"Advanced Photonics Nexus","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138997928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Dissipative soliton breathing dynamics driven by desynchronization of orthogonal polarization states","authors":"Zhiwei Huang, Sergey Sergyev, Qing Wang, Hani Kbashi, Dmitrii Stoliarov, Qianqian Huang, Yuze Dai, Zhijun Yan, Chengbo Mou","doi":"10.1117/1.APN.2.6.066007","DOIUrl":"https://doi.org/10.1117/1.APN.2.6.066007","url":null,"abstract":"Abstract. Breathing solitons, i.e., dynamic dissipative solitons with oscillating pulse shape and energy caused by different mechanisms of spatiotemporal instabilities, have received considerable interest from the aspects of nonlinear science and potential applications. However, by far, the study of breathing solitons is still limited within the time scale of hundreds of cavity round trips, which ignores the slow dynamics. To fill this lacuna, we theoretically investigate a new type of vector dissipative soliton breathing regime and experimentally demonstrate this concept using mode-locked fiber lasers, which arise from the desynchronization of orthogonal states of polarization (SOPs) in the form of complex oscillations of the phase difference between the states. The dynamic evolution of polarization states of the vector breathings solitons takes the form of a trajectory connecting two quasi-equilibrium orthogonal SOPs on the surface of the Poincaré sphere. The dwelling time near each state is on the scale of a tenth of a thousand cavity round trip times that equals the breathing period, which is up to 2 orders of magnitude longer than that for common breathers. The obtained results can reveal concepts in nonlinear science and may unlock approaches to the flexible manipulation of laser waveforms toward various applications in spectroscopy and metrology.","PeriodicalId":223078,"journal":{"name":"Advanced Photonics Nexus","volume":"30 1","pages":"066007 - 066007"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139295768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kuo Zhang, Kun Liao, Haohang Cheng, Shuai Feng, Xiaoyong Hu
{"title":"Advanced all-optical classification using orbital-angular-momentum-encoded diffractive networks","authors":"Kuo Zhang, Kun Liao, Haohang Cheng, Shuai Feng, Xiaoyong Hu","doi":"10.1117/1.APN.2.6.066006","DOIUrl":"https://doi.org/10.1117/1.APN.2.6.066006","url":null,"abstract":"Abstract. As a successful case of combining deep learning with photonics, the research on optical machine learning has recently undergone rapid development. Among various optical classification frameworks, diffractive networks have been shown to have unique advantages in all-optical reasoning. As an important property of light, the orbital angular momentum (OAM) of light shows orthogonality and mode-infinity, which can enhance the ability of parallel classification in information processing. However, there have been few all-optical diffractive networks under the OAM mode encoding. Here, we report a strategy of OAM-encoded diffractive deep neural network (OAM-encoded D2NN) that encodes the spatial information of objects into the OAM spectrum of the diffracted light to perform all-optical object classification. We demonstrated three different OAM-encoded D2NNs to realize (1) single detector OAM-encoded D2NN for single task classification, (2) single detector OAM-encoded D2NN for multitask classification, and (3) multidetector OAM-encoded D2NN for repeatable multitask classification. We provide a feasible way to improve the performance of all-optical object classification and open up promising research directions for D2NN by proposing OAM-encoded D2NN.","PeriodicalId":223078,"journal":{"name":"Advanced Photonics Nexus","volume":"5 1","pages":"066006 - 066006"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139300344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}