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High-speed all-optical speckle decryption empowered by a physics-informed diffractive neural network 认领 引用
1
作者 Jiaan Gan Yong Yang +2 位作者 Siwei Zhu Shengjiang Chang Xiaocong Yuan 《Advanced Photonics Nexus》 CSCD 2026年第1期150-157,共8页
Speckle-based optical cryptosystems are promising technologies for information security.However,existing techniques mostly rely on digital decryption,resulting in computational delay and undermining the high-speed adv... Speckle-based optical cryptosystems are promising technologies for information security.However,existing techniques mostly rely on digital decryption,resulting in computational delay and undermining the high-speed advantage of optical encryption.Moreover,conventional neural networks are typically effective only on images from the same distribution as the training datasets,limiting their general applicability.In this paper,we propose an all-optical high-speed decryption scheme for real-time recovery of speckle-encoded ciphertexts.By constructing a physics-informed diffractive neural network that approximates the inverse transmission matrix of the scattering medium,secret images can be directly reconstructed from speckle fields without optoelectronic conversion or post-processing.The network is trained with only 2048 samples from the MNIST dataset.Its transfer learning capability is validated across three out-of-distribution datasets,with decrypted images achieving a Pearson correlation coefficient of 0.82 and a structural similarity index measure of 0.75,demonstrating excellent transfer learning capability.For the first time,to our knowledge,this scheme simultaneously overcomes the bottlenecks of decryption delay and limited network generalizability in conventional speckle-based cryptosystems,achieving real-time image decryption with strong transferability.It provides a new pathway for developing low-power,real-time,and broadly applicable optical encryption systems,demonstrating significant potential for applications in high-speed security optical communications. 展开更多
关键词 speckle all-optical decryption diffractive neural network transmission matrix transfer learning real time
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Quasi-periodic optical key-enabled hybrid cryptography:merging diffractive physics and deep learning for high-dimensional security 认领 引用
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作者 Yu Shao Haiqi Gao +6 位作者 Jiaming Liang Xuehui Wang Junren Wen Yuchuan Shao Yueguang Zhang Weidong Shen Chenying Yang 《Advanced Photonics Nexus》 CSCD 2026年第3期176-185,共10页
Optical encryption inherently provides strong security advantages,with hybrid optoelectronic systems offering additional degrees of freedom by integrating optical and algorithmic domains.However,existing optical encry... Optical encryption inherently provides strong security advantages,with hybrid optoelectronic systems offering additional degrees of freedom by integrating optical and algorithmic domains.However,existing optical encryption schemes heavily rely on electronic computation,limiting overall efficiency,and the physical keys are susceptible to damage,compromising both security and system stability.To overcome these challenges,we introduce the quasi-periodic optical key(Q-POK),which combines longrange order with short-range disorder,enabling enhanced security and robustness against damage within a single platform.By leveraging diffraction symmetry,our design enables optics-driven encryption,effectively shifting the optoelectronic balance toward photonic processing.Moreover,we innovatively apply deep learning to reconstruct the complex optical ciphertext field using only amplitude data and cryptographic keys,simultaneously achieving data compression and improved security.Within this framework,the key space includes continuously tunable parameters such as wavelength,propagation distance,phase modulation,and Q-POK geometry,significantly expanding cryptographic diversity.Our system also demonstrates robust cryptographic reliability by reducing inter-class distances by over 50% and tolerating up to 20% ciphertext loss.Our framework represents a generation of physically grounded,algorithmically enhanced optical cryptosystems—laying a foundational pathway for scalable,hardware-integrated information security paradigms. 展开更多
关键词 optical encryption diffraction deep learning cryptographic key hybrid optoelectronic architecture
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High-efficiency RGB achromatic liquid crystal diffractive optical elements 认领 引用 被引量：2
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作者 Yuqiang Ding Xiaojin Huang +2 位作者 Yongziyan Ma Yan Li Shin-Tson Wu 《Opto-Electronic Advances》 SCIE EI CAS CSCD 2025年第3期4-15,共12页
Liquid crystal Pacharatnam-Berry phase optical elements(PBOEs)have found promising applications in augmented reality and virtual reality because of their slim formfactor,lightweight,and high optical efficiency.However... Liquid crystal Pacharatnam-Berry phase optical elements(PBOEs)have found promising applications in augmented reality and virtual reality because of their slim formfactor,lightweight,and high optical efficiency.However,chromatic aberration remains a serious longstanding problem for diffractive optics,hindering their broader adoption.To overcome the chromatic aberrations for red,green and blue(RGB)light sources,in this paper,we propose a counterintuitive multi-twist structure to achieve narrowband PBOEs without crosstalk,which plays a vital role to eliminate the chromatic aberration.The performance of our designed and fabricated narrowband Pacharatnam-Berry lenses(PBLs)aligns well with our simulation results.Furthermore,in a feasibility demonstration experiment using a laser projector,our proposed PBL system indeed exhibits a diminished chromatic aberration as compared to a broadband PBL.Additionally,polarization raytracing is implemented to demonstrate the versatility of the multi-twist structure for designing any RGB wavelengths with high contrast ratios.This analysis explores the feasibility of using RGB laser lines and quantum dot light-emitting diodes.Overall,our approach enables high optical efficiency,low fabrication complexity,and high degree of design freedom to accommodate any liquid crystal material and RGB light sources,holding immense potential for widespread applications of achromatic PBOEs. 展开更多
关键词 achromatic diffractive optical elements Pacharatnam-Berry phase optical elements liquid crystal planar optics near-eye displays
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Compact planar-waveguide integrated diffractive optical neural network chip 认领 引用
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作者 Jianan Feng Chang Li +7 位作者 Dahai Yang Yang Liu Jianyang Hu Chen Chen Yiqun Wang Jie Lin Lei Wang Peng Jin 《Advanced Photonics Nexus》 CSCD 2025年第1期93-104,共12页
Diffractive optical neural networks(DONNs)have exhibited the advantages of parallelization,high speed,and low consumption.However,the existing DONNs based on free-space diffractive optical elements are bulky and unste... Diffractive optical neural networks(DONNs)have exhibited the advantages of parallelization,high speed,and low consumption.However,the existing DONNs based on free-space diffractive optical elements are bulky and unsteady.In this study,we propose a planar-waveguide integrated diffractive neural network chip architecture.The three diffractive layers are engraved on the same side of a quartz wafer.The three-layer chip is designed with 32-mm3 processing space and enables a computing speed of 3.1×109 Tera operations per second.The results show that the proposed chip achieves 73.4%experimental accuracy for the Modified National Institute of Standards and Technology database while showing the system’s robustness in a cycle test.The consistency of experiments is 88.6%,and the arithmetic mean standard deviation of the results is~4.7%.The proposed chip architecture can potentially revolutionize high-resolution optical processing tasks with high robustness. 展开更多
关键词 optical computing diffractive neural network planar waveguide high robustness.
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Complex-valued universal linear transformations and image encryption using spatially incoherent diffractive networks 认领 引用 被引量：10
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作者 Xilin Yang Md Sadman Sakib Rahman +2 位作者 Bijie Bai Jingxi Li Aydogan Ozcan 《Advanced Photonics Nexus》 2024年第1期76-85,共10页
As an optical processor,a diffractive deep neural network(D2NN)utilizes engineered diffractive surfaces designed through machine learning to perform all-optical information processing,completing its tasks at the speed... As an optical processor,a diffractive deep neural network(D2NN)utilizes engineered diffractive surfaces designed through machine learning to perform all-optical information processing,completing its tasks at the speed of light propagation through thin optical layers.With sufficient degrees of freedom,D2NNs can perform arbitrary complex-valued linear transformations using spatially coherent light.Similarly,D2NNs can also perform arbitrary linear intensity transformations with spatially incoherent illumination;however,under spatially incoherent light,these transformations are nonnegative,acting on diffraction-limited optical intensity patterns at the input field of view.Here,we expand the use of spatially incoherent D2NNs to complex-valued information processing for executing arbitrary complex-valued linear transformations using spatially incoherent light.Through simulations,we show that as the number of optimized diffractive features increases beyond a threshold dictated by the multiplication of the input and output space-bandwidth products,a spatially incoherent diffractive visual processor can approximate any complex-valued linear transformation and be used for all-optical image encryption using incoherent illumination.The findings are important for the all-optical processing of information under natural light using various forms of diffractive surface-based optical processors. 展开更多
关键词 optical computing optical networks machine learning diffractive optical networks diffractive neural networks image encryption
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Diffractive Deep Neural Networks at Visible Wavelengths 认领 引用 被引量：38
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作者 Hang Chen Jianan Feng +4 位作者 Minwei Jiang Yiqun Wang Jie Lin Jiubin Tan Peng Jin 《Engineering》 SCIE EI CAS CSCD 2021年第10期1483-1491,共9页
Optical deep learning based on diffractive optical elements offers unique advantages for parallel processing,computational speed,and power efficiency.One landmark method is the diffractive deep neural network(D2 NN... Optical deep learning based on diffractive optical elements offers unique advantages for parallel processing,computational speed,and power efficiency.One landmark method is the diffractive deep neural network(D2 NN)based on three-dimensional printing technology operated in the terahertz spectral range.Since the terahertz bandwidth involves limited interparticle coupling and material losses,this paper extends D2 NN to visible wavelengths.A general theory including a revised formula is proposed to solve any contradictions between wavelength,neuron size,and fabrication limitations.A novel visible light D2 NN classifier is used to recognize unchanged targets(handwritten digits ranging from 0 to 9)and targets that have been changed(i.e.,targets that have been covered or altered)at a visible wavelength of 632.8 nm.The obtained experimental classification accuracy(84%)and numerical classification accuracy(91.57%)quantify the match between the theoretical design and fabricated system performance.The presented framework can be used to apply a D2 NN to various practical applications and design other new applications. 展开更多
关键词 Optical computation Optical neural networks Deep learning Optical machine learning Diffractive deep neural networks
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Diffractive multifocal intraocular lens implantation in patients with monofocal intraocular lens in the contralateral eye 认领 引用 被引量：8
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作者 Jae Yong Kim Yunhan Lee +4 位作者 Hun Jae Won Hyerin Jeong Jin Hyoung Park Myoung Joon Kim Hungwon Tchah 《International Journal of Ophthalmology(English edition)》 SCIE CAS 2020年第5期737-743,共7页
AIM:To evaluate clinical outcomes of unilateral implantation of a diffractive multifocal intraocular lens(IOL)in patients with contralateral monofocal IOL.METHODS:Twenty-two patients who already had implantation of a ... AIM:To evaluate clinical outcomes of unilateral implantation of a diffractive multifocal intraocular lens(IOL)in patients with contralateral monofocal IOL.METHODS:Twenty-two patients who already had implantation of a monofocal IOL in unilateral eye underwent implantation of a diffractive multifocal IOL in contralateral eye were enrolled.After 1,6,and 12 mo,uncorrected and distant corrected distant visual acuity(UCDVA and DCDVA),uncorrected and distant corrected intermediate-visual acuity(UCIVA and DCIVA),uncorrected and distant corrected near visual acuity(UCNVA and DCNVA),and contrast sensitivity were obtained.Halo/glare symptoms,spectacle dependence,and patient satisfaction were also evaluated.RESULTS:The mean age was 67.86±7.25 y and the average interval between two IOL implantations was 645.82±878.44 d.At 1 mo,binocular UCDVA was lower than 0.20 logMAR in 76%of patients(mean 0.12±0.13 logMAR),which increased to 90%by 6 and 12 mo.The binocular UCDVA was significantly better than the monocular results(P<0.05)at 1,6,and 12 mo.Additionally,UCNVA was lower than 0.40 logMAR in 82%of patients,increasing to 90%by 6 and 12 mo.Mean UCNVA in the multifocal IOL implanted eye was statistically significantly better than that in the monofocal IOL implanted eye(P<0.05)at 1,6,and 12 mo.About 5%of patients at 1 and 6 mo,reported"severe glare or halo".Patient satisfaction rates were 95%and 91%at 6 and 12 mo,respectively.CONCLUSION:Unilateral implantation of multifocal IOL in patients with a contralateral,monofocal IOL implantation results in high patient satisfaction rate,with low severe glare or halo rate during follow-up.It can represent a good option for patients who have previously had a monofocal IOL implantation regardless of two year interval duration between two IOL implantations. 展开更多
关键词 diffractive multifocal intraocular lens unilateral implantation near vision cataract surgery
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Rainbow halos occur less following implantation of extended range of vision one-piece intraocular lenses vs diffractive bifocal intraocular lenses 认领 引用 被引量：6
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作者 Jae-hyung Kim Youngsub Eom +5 位作者 Seo Yeon Park Soo Youn Choi Ho Sik Hwang Jun-Heon Kim Jong Suk Song Hyo Myung Kim 《International Journal of Ophthalmology(English edition)》 SCIE CAS 2020年第6期913-919,共7页
AIM:To evaluate clinical outcomes following implantation of an extended range of vision intraocular lens(IOL),the ZXR00,and a diffractive multifocal IOL with+2.75 diopters(D)add power,the ZKB00.METHODS:Totally 30 pati... AIM:To evaluate clinical outcomes following implantation of an extended range of vision intraocular lens(IOL),the ZXR00,and a diffractive multifocal IOL with+2.75 diopters(D)add power,the ZKB00.METHODS:Totally 30 patients who underwent either bilateral implantation of the ZXR00 IOL with intended emmetropia(ZXR00 emmetropia group:20 eyes)and intended micromonovision(ZXR00 monovision group:20 eyes),or bilateral implantation of the ZKB00 IOL with intended emmetropia(ZKB00 group:20 eyes)were included in this study.Visual acuity at 4 m,80,and 40 cm;and the types of halos(misty,fine,and rainbow)were analyzed at one and three months after surgery.RESULTS:There were no significant differences in distance visual acuity among the three groups.The mean uncorrected intermediate visual acuity was better in the ZXR00 emmetropia and monovision groups(0.02 logMAR and 0.02 logMAR,respectively)than in the ZKB00 group(0.14 logMAR).The mean uncorrected near visual acuity was worse in the ZXR00 emmetropia group(0.26 logMAR)than in the ZXR00 monovision and ZKB00 groups(0.12 logMAR and 0.10 logMAR,respectively).There was an increased incidence of rainbow halos in the ZKB00 group vs in either ZXR00 group(P=0.033).CONCLUSION:Implantation of the ZXR00 IOL with intended micromonovision provide superior visual acuity than implantation of the ZXR00 IOL with intended emmetropia.The ZXR00 IOLs tend to show a lower incidence of rainbow halos than did the ZKB00 IOL. 展开更多
关键词 halos intraocular lens diffractive bifocal multifocal rainbow halos
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Compound diffractive telescope system:design,stray light analysis,and optical test 认领 引用 被引量：6
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作者 岳巾英 刘华 +4 位作者 卢振武 许文斌 张虎 张红鑫 刘英 《Chinese Physics B》 SCIE EI CAS 2010年第1期234-240,共7页
The compound diffractive telescope is a novel space optical system which combines the structure of compound eyes with diffractive optics and so it has a lighter weight, a wider field of view （FOV）, a lower cost as w... The compound diffractive telescope is a novel space optical system which combines the structure of compound eyes with diffractive optics and so it has a lighter weight, a wider field of view （FOV）, a lower cost as well as looser fabrication tolerance. In this paper, the design of a compound diffractive telescope composed of one primary lens and twenty-one eyepieces is introduced. Then the influence of diffraction orders on the performance of the system is analysed. A modified phase function model of diffractive optics is proposed to analyse the modulation transfer function （MTF） curves for 0° FOV, which provides a more accurate prediction of the performance of the system. In addition, an optimized mechanism is also proposed to suppress stray light. The star image and resolution tests show that the system can achieve diffraction limit imaging within ±2° of FOV and 4-4 mm of eccentricity. Finally, a series of pictures of an object are taken from different channels, and the splicing of pictures from adjacent FOVs is demonstrated. In summary, the designed system has been proved to have great potential applications. 展开更多
关键词 lens system design compound eyes structure diffractive lens stray light
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Realizing high photovoltaic efficiency with parallel multijunction solar cells based on spectrum-splitting and-concentrating diffractive optical element 认领 引用 被引量：5
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作者 王进泽 黄庆礼 +7 位作者 许信 全宝钢 罗建恒 张岩 叶佳声 李冬梅 孟庆波 杨国桢 《Chinese Physics B》 SCIE EI CAS CSCD 2015年第5期329-334,共6页
Based on the facts that multijunction solar cells can increase the efficiency and concentration can reduce the cost dramatically, a special design of parallel multijunction solar cells was presented. The design employ... Based on the facts that multijunction solar cells can increase the efficiency and concentration can reduce the cost dramatically, a special design of parallel multijunction solar cells was presented. The design employed a diffractive optical element （DOE） to split and concentrate the sunlight. A rainbow region and a zero-order diffraction region were generated on the output plane where solar cells with corresponding band gaps were placed. An analytical expression of the light intensity distribution on the output plane of the special DOE was deduced, and the limiting photovoltaic efficiency of such parallel multijunction solar ceils was obtained based on Shockley-Queisser＇s theory. An efficiency exceeding the Shockley--Queisser limit （33%） can be expected using multijunction solar cells consisting of separately fabricated subcells. The results provide an important alternative approach to realize high photovoltaic efficiency without the need for expensive epitaxial technology widely used in tandem solar cells, thus stimulating the research and application of high efficiency and low cost solar cells. 展开更多
关键词 diffractive optical element split concentration multijunction
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A single diffractive optical element implementing spectrum-splitting and beam-concentration functions simultaneously with high diffraction efficiency 认领 引用 被引量：5
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作者 叶佳声 王进泽 +3 位作者 黄庆礼 董碧珍 张岩 杨国桢 《Chinese Physics B》 SCIE EI CAS CSCD 2013年第3期44-49,共6页
In this paper,a novel method is proposed and employed to design a single diffractive optical element（DOE） for implementing spectrum-splitting and beam-concentration（SSBC） functions simultaneously.We develop an opt... In this paper,a novel method is proposed and employed to design a single diffractive optical element（DOE） for implementing spectrum-splitting and beam-concentration（SSBC） functions simultaneously.We develop an optimization algorithm,through which the SSBC DOE can be optimized within an arbitrary thickness range according to the limitations of modern photolithography technology.Theoretical simulation results reveal that the designed SSBC DOE has a high optical focusing efficiency.It is expected that the designed SSBC DOE should have practical applications in high-efficiency solar cell systems. 展开更多
关键词 diffractive optical element spectrum-splitting and beam-concentration functions thickness optimization algorithm solar cell systems
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Design optimization of highly efficient spectrum-splitting and beam-concentrating diffractive optical element for lateral multijunction solar cells 认领 引用 被引量：2
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作者 王进泽 叶佳声 +4 位作者 黄庆礼 许信 李冬梅 孟庆波 杨国桢 《Chinese Physics B》 SCIE EI CAS CSCD 2014年第4期319-323,共5页
Two improved algorithms are proposed to extend a diffractive optical element （DOE） to work under the broad spec- trum of sunlight. An optimum design has been found for the DOE, with a weighted average optical effici... Two improved algorithms are proposed to extend a diffractive optical element （DOE） to work under the broad spec- trum of sunlight. An optimum design has been found for the DOE, with a weighted average optical efficiency of about 6.8% better than that of the previous design. The optimization of designing high optical efficiency DOEs will pave the way for future designs of high-efficiency, low-cost lateral multijunction solar cells based on such a DOE. 展开更多
关键词 thickness optimization solar cell split concentration diffractive optical element
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Simultaneous sorting of arbitrary vector structured beams with spin-multiplexed diffractive metasurfaces 认领 引用 被引量：4
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作者 Xiaoxin Li Rui Feng +9 位作者 Fangkui Sun Yanxia Zhang Qi Jia Donghua Tang Bojian Shi Hang Li Yanyu Gao Wenya Gao Yongyin Cao Weiqiang Ding 《Advanced Photonics Nexus》 2024年第3期89-96,共8页
Vector structured beams(VSBs)offer infinite eigenstates and open up new possibilities for highcapacity optical and quantum communications by the multiplexing of the states.Therefore,the sorting and measuring of VSBs a... Vector structured beams(VSBs)offer infinite eigenstates and open up new possibilities for highcapacity optical and quantum communications by the multiplexing of the states.Therefore,the sorting and measuring of VSBs are extremely important.However,the efficient manipulations of a large number of VSBs have simultaneously remained challenging up to now,especially in integrated optical systems.Here,we propose a compact spin-multiplexed diffractive metasurface capable of continuously sorting and detecting arbitrary VSBs through spatial intensity separation.By introducing a diffractive optical neural network with cascaded metasurface systems,we demonstrate arbitrary VSBs sorters that can simultaneously identify Laguerre–Gaussian modes(l=−4 to 4,p=1 to 4),Hermitian–Gaussian modes(m=1 to 4,n=1 to 3),and Bessel–Gaussian modes(l=1 to 12).Such a sorter for arbitrary VSBs could revolutionize applications in integrated and high-dimensional optical communication systems. 展开更多
关键词 vector structured beams diffractive optical neural networks mode sorting polarization-multiplexed metasurfaces.
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A general phase retrieval algorithm based on a ptychographical iterative engine for coherent diffractive imaging 认领 引用 被引量：4
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作者 傅健 李鹏 《Chinese Physics B》 SCIE EI CAS CSCD 2013年第1期243-248,共6页
Coherent diffractive imaging （CDI） is a lensless imaging technique and can achieve a resolution beyond the Rayleigh or Abbe limit. The ptychographical iterative engine （PIE） is a CDI phase retrieval algorithm that... Coherent diffractive imaging （CDI） is a lensless imaging technique and can achieve a resolution beyond the Rayleigh or Abbe limit. The ptychographical iterative engine （PIE） is a CDI phase retrieval algorithm that uses multiple diffraction patterns obtained through the scan of a localized illumination on the specimen, which has been demonstrated successfully at optical and X-ray wavelengths. In this paper, a general PIE algorithm （gPIE） is presented and demonstrated with an He-Ne laser light diffraction dataset. This algorithm not only permits the removal of the accurate model of the illumination function in PIE, but also provides improved convergence speed and retrieval quality. 展开更多
关键词 phase retrieval algorithm coherent diffractive imaging ptychography
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Advanced all-optical classification using orbitalangular-momentum-encoded diffractive networks 认领 引用 被引量：8
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作者 Kuo Zhang Kun Liao +2 位作者 Haohang Cheng Shuai Feng Xiaoyong Hu 《Advanced Photonics Nexus》 2023年第6期51-64,共14页
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 hav... 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 OAMencoded D2NN. 展开更多
关键词 diffractive deep neural network deep learning orbital angular momentum multiplexing optical classification
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Decision-making and control with diffractive optical networks 认领 引用 被引量：1
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作者 Jumin Qiu Shuyuan Xiao +4 位作者 Lujun Huang Andrey Miroshnichenko Dejian Zhang Tingting Liu Tianbao Yu 《Advanced Photonics Nexus》 2024年第4期36-46,共11页
The ultimate goal of artificial intelligence(AI)is to mimic the human brain to perform decision-making and control directly from high-dimensional sensory input.Diffractive optical networks(DONs)provide a promising sol... The ultimate goal of artificial intelligence(AI)is to mimic the human brain to perform decision-making and control directly from high-dimensional sensory input.Diffractive optical networks(DONs)provide a promising solution for implementing AI with high speed and low power-consumption.Most reported DONs focus on tasks that do not involve environmental interaction,such as object recognition and image classification.By contrast,the networks capable of decision-making and control have not been developed.Here,we propose using deep reinforcement learning to implement DONs that imitate human-level decisionmaking and control capability.Such networks,which take advantage of a residual architecture,allow finding optimal control policies through interaction with the environment and can be readily implemented with existing optical devices.The superior performance is verified using three types of classic games:tic-tac-toe,Super Mario Bros.,and Car Racing.Finally,we present an experimental demonstration of playing tic-tac-toe using the network based on a spatial light modulator.Our work represents a solid step forward in advancing DONs,which promises a fundamental shift from simple recognition or classification tasks to the high-level sensory capability of AI.It may find exciting applications in autonomous driving,intelligent robots,and intelligent manufacturing. 展开更多
关键词 diffractive optical networks optical computing deep learning reinforcement learning
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Teacher-student learning of generative adversarial network-guided diffractive neural networks for visual tracking and imaging 认领 引用 被引量：1
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作者 Hang Su Yanping He +3 位作者 Baoli Li Haitao Luan Min Gu Xinyuan Fang 《Advanced Photonics Nexus》 2024年第6期87-97,共11页
Efficiently tracking and imaging interested moving targets is crucial across various applications,from autonomous systems to surveillance.However,persistent challenges remain in various fields,including environmental ... Efficiently tracking and imaging interested moving targets is crucial across various applications,from autonomous systems to surveillance.However,persistent challenges remain in various fields,including environmental intricacies,limitations in perceptual technologies,and privacy considerations.We present a teacher-student learning model,the generative adversarial network(GAN)-guided diffractive neural network(DNN),which performs visual tracking and imaging of the interested moving target.The GAN,as a teacher model,empowers efficient acquisition of the skill to differentiate the specific target of interest in the domains of visual tracking and imaging.The DNN-based student model learns to master the skill to differentiate the interested target from the GAN.The process of obtaining a GAN-guided DNN starts with capturing moving objects effectively using an event camera with high temporal resolution and low latency.Then,the generative power of GAN is utilized to generate data with position-tracking capability for the interested moving target,subsequently serving as labels to the training of the DNN.The DNN learns to image the target during training while retaining the target’s positional information.Our experimental demonstration highlights the efficacy of the GAN-guided DNN in visual tracking and imaging of the interested moving target.We expect the GAN-guided DNN can significantly enhance autonomous systems and surveillance. 展开更多
关键词 visual tracking diffractive neural network generative adversarial network teacher-student learning event-based camera optical machine learning
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Analysis of the Diffractive Deep Inelastic Scattering Data with Running Coupling and Gluon Number Fluctuations 认领 引用
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作者 向文昌 胡志海 +2 位作者 刘万松 彭俊金 蔡绍洪 《Chinese Physics Letters》 SCIE EI CAS CSCD 2016年第8期33-37,共5页
We study the effects of running coupling and gluon number fluctuations in the latest diffractive deep inelastic scattering data. It is found that the description of the data is improved once the running coupling and g... We study the effects of running coupling and gluon number fluctuations in the latest diffractive deep inelastic scattering data. It is found that the description of the data is improved once the running coupling and gluon number fluctuations are included with x2/d.o.f. = 0.867, x2/d.o.f. = 0.923 and x2/d.o.f. = 0.878 for three different groups of experimental data. The values of diffusive coefficient subtracted from the fit are smaller than the ones obtained by considering only the gluon number fluctuations in our previous studies. The smaller values of the diffusive coefficient are in agreement with the theoretical predictions, where the gluon number fluctuations are suppressed by the running coupling which leads to smaller values of the diffusive coefficient. 展开更多
关键词 of QCD Analysis of the Diffractive Deep Inelastic Scattering Data with Running Coupling and Gluon Number Fluctuations in is that with
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Diffractive Interaction for Short Pulses in 2×2 System 认领 引用
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作者 袁明生 《Journal of Shanghai Jiaotong university(Science)》 EI 2008年第4期499-508,共10页
This paper studies the asymptotic behavior of the diffractive interaction of pulses with two linear phases of length ε ≤ 1 in 2 × 2 semilinear strictly hyperbolic system with constant coefficiients. By a formal... This paper studies the asymptotic behavior of the diffractive interaction of pulses with two linear phases of length ε ≤ 1 in 2 × 2 semilinear strictly hyperbolic system with constant coefficiients. By a formal analysis, it derives problems of profiles in the expansion of the pulse like solution with respect to the length s, and obtains that the leading profile satisfies a nonlinear Schrodinger type system. The problems of profiles are solved, and the formal expansion is justified. It is observed that there is interaction between two phases starting at the third order profiles. 展开更多
关键词 short pulses diffractive interaction 2 × 2 system
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Simple and universal method in designs of high-efficiency diffractive optical elements for spectrum separation and beam concentration 认领 引用 被引量：2
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作者 徐文琪 林冬风 +8 位作者 许信 叶佳声 王新柯 冯胜飞 孙文峰 韩鹏 张岩 孟庆波 杨国桢 《Chinese Physics B》 SCIE EI CAS CSCD 2017年第7期89-95,共7页
Diffractive optical elements（DOEs） with spectrum separation and beam concentration（SSBC） functions have important applications in solar cell systems. With the SSBC DOEs, the sunlight radiation is divided into seve... Diffractive optical elements（DOEs） with spectrum separation and beam concentration（SSBC） functions have important applications in solar cell systems. With the SSBC DOEs, the sunlight radiation is divided into several wave bands so as to be effectively absorbed by photovoltaic materials with different band gaps. A new method is proposed for designing high-efficiency SSBC DOEs, which is physically simple, numerically fast, and universally applicable. The SSBC DOEs are designed by the new design method, and their performances are analyzed by the Fresnel diffraction integral method.The new design method takes two advantages over the previous design method. Firstly, the optical focusing efficiency is heightened by up to 10%. Secondly, focal positions of all the designed wavelengths can be designated arbitrarily and independently. It is believed that the designed SSBC DOEs should have practical applications to solar cell systems. 展开更多
关键词 diffractive optical element spectrum separation and beam concentration optical focusing efficiency solar cell system
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