A 10-channel, 200 GHz channel spacing InP arrayed waveguide grating was designed, and the deep ridge waveguide design makes it polarization independent. Under the technologies of molecular beam epitaxy, lithography, a...A 10-channel, 200 GHz channel spacing InP arrayed waveguide grating was designed, and the deep ridge waveguide design makes it polarization independent. Under the technologies of molecular beam epitaxy, lithography, and induced coupler plasma etching, the chip was fabricated in our laboratory. The test results show that the insertion loss is about -8 dB, and the crosstalk is less than -17 dB.展开更多
Microring resonators,as essential components of photonic integrated circuits,offer compact size,wavelength selectivity,and strong resonance effects,making them invaluable in optical computing,on-chip interconnects,and...Microring resonators,as essential components of photonic integrated circuits,offer compact size,wavelength selectivity,and strong resonance effects,making them invaluable in optical computing,on-chip interconnects,and quantum photonics.The proposal of the pulley-type microring enhances the coupling strength,but also brings about issues such as mode mismatch and the excitation of higher-order modes.Here,a lithium niobate microring resonator coupled with a pulley bus waveguide based on modified Euler curves is proposed.This Euler-modified pulley bus minimizes mode mismatch at bending junctions,effectively suppressing higher-order mode excitation.The design achieves a high Q factor(exceeding 105)and strong coupling efficiency(83%)within a compact structure of 70μm radius.Due to its simple structure and ease of fabrication,the Euler-modified pulley-type microring holds practical value for applications requiring high-quality microring resonators.展开更多
Rising demands for bandwidth,speed,and energy efficiency are reshaping the landscape of computing beyond the limits of von Neumann electronics.Neuromorphic photonics—using light to emulate neural computation—offers ...Rising demands for bandwidth,speed,and energy efficiency are reshaping the landscape of computing beyond the limits of von Neumann electronics.Neuromorphic photonics—using light to emulate neural computation—offers ultrafast,massively parallel,and low-energy information processing,positioning integrated photonic neural networks(IPNNs)as promising hardware for next-generation artificial intelligence(AI).By combining the architectural efficiency of neuromorphic models with the physical advantages of integrated photonics,IPNNs enable high-speed and programmable linear operations during the in-plane optical transmission,while leaving room for compact and reconfigurable on-chip optical nonlinearities and memory functions.Firstly,we review the concepts and principles of key building blocks in IPNN,that are photonic synapses,neurons,and photonic memristors which offer optical memory and storage capabilities.And then,we summarize the representative IPNN architectures and their recent advances,including coherent,parallel,diffractive,and reservoir computing,for photonic neuromorphic computing with high throughput and high efficiency.Finally,we outline practical considerations—calibration and stability of large-scale networks,routes toward co-integration with electronics,diffractive–interferometric hybrid architectures,and programmable photonic architectures for general AI purposes.We highlight a forward outlook on enabling IPNN with low energy consumption,robust photonic operations,and efficient training strategies,aiming to guide the maturation of general-purpose,low-power photonic AI.展开更多
基金supported by the National High Technology Research and Development Program of China(No.2011AA010303)the National Natural Science Foundation of China(Nos.61090390,60837001,60877014,60776057)
文摘A 10-channel, 200 GHz channel spacing InP arrayed waveguide grating was designed, and the deep ridge waveguide design makes it polarization independent. Under the technologies of molecular beam epitaxy, lithography, and induced coupler plasma etching, the chip was fabricated in our laboratory. The test results show that the insertion loss is about -8 dB, and the crosstalk is less than -17 dB.
文摘为了评价PIC猪的胴体性状和肉质性状,试验屠宰了健康的PIC猪9头,测定了其胴体性状、肉质性状和肌肉成分等相关指标,并分析了各性状间的相关性。结果表明,宰前活重为123.78 kg的PIC猪,屠宰率为75.58%,瘦肉率为60.8%,平均背膘厚25.62 mm,眼肌面积45.95 cm 2,滴水损失2.14%,嫩度43.56N,肌内脂肪含量2.23%,总氨基酸含量20.3%,饱和脂肪酸含量41.54%,总不饱和脂肪酸含量58.44%。性状间相关性分析表明,PIC猪的宰前活重与屠宰率呈显著正相关(P<0.05),肌内脂肪与MUFA呈极显著正相关(P<0.01),与PUFA呈极显著负相关(P<0.01),与水分呈显著负相关(P<0.05)。肌内脂肪与水分间的相关系数为-0.718,二者间线性模型Y=-0.9985x+75.299,决定系数R^(2)为0.5153。
基金supported by the National Key Research and Development Program of China(Grant No.2024YFB2808300)the National Natural Science Foundation of China(Grant Nos.62293523,62288101,62305156,92463304,92463308,12304421,and 12341403)+2 种基金Zhangjiang Laboratory(Grant No.ZJSP21A001)Program of Jiangsu Natural Science Foundation(Grant Nos.BK20230770 and BK20232033)Guangdong Major Project of Basic and Applied Basic Re-search(Grant No.2020B0301030009).
文摘Microring resonators,as essential components of photonic integrated circuits,offer compact size,wavelength selectivity,and strong resonance effects,making them invaluable in optical computing,on-chip interconnects,and quantum photonics.The proposal of the pulley-type microring enhances the coupling strength,but also brings about issues such as mode mismatch and the excitation of higher-order modes.Here,a lithium niobate microring resonator coupled with a pulley bus waveguide based on modified Euler curves is proposed.This Euler-modified pulley bus minimizes mode mismatch at bending junctions,effectively suppressing higher-order mode excitation.The design achieves a high Q factor(exceeding 105)and strong coupling efficiency(83%)within a compact structure of 70μm radius.Due to its simple structure and ease of fabrication,the Euler-modified pulley-type microring holds practical value for applications requiring high-quality microring resonators.
基金supported by the Shanghai Municipal Science and Technology Major Project, the Science and Technology Commission of Shanghai Municipality (No. 21DZ1100500)the Shanghai Frontiers Science Center Program (2021-2025 No. 20)+2 种基金the National Key Research and Development Program of China (No. 2021YFB2802000)the National Natural Science Foundation of China (No. 61975123, No. 62305217),the National Natural Science Foundation of China (No. 52075504)the Shanghai Pujiang Programme
文摘Rising demands for bandwidth,speed,and energy efficiency are reshaping the landscape of computing beyond the limits of von Neumann electronics.Neuromorphic photonics—using light to emulate neural computation—offers ultrafast,massively parallel,and low-energy information processing,positioning integrated photonic neural networks(IPNNs)as promising hardware for next-generation artificial intelligence(AI).By combining the architectural efficiency of neuromorphic models with the physical advantages of integrated photonics,IPNNs enable high-speed and programmable linear operations during the in-plane optical transmission,while leaving room for compact and reconfigurable on-chip optical nonlinearities and memory functions.Firstly,we review the concepts and principles of key building blocks in IPNN,that are photonic synapses,neurons,and photonic memristors which offer optical memory and storage capabilities.And then,we summarize the representative IPNN architectures and their recent advances,including coherent,parallel,diffractive,and reservoir computing,for photonic neuromorphic computing with high throughput and high efficiency.Finally,we outline practical considerations—calibration and stability of large-scale networks,routes toward co-integration with electronics,diffractive–interferometric hybrid architectures,and programmable photonic architectures for general AI purposes.We highlight a forward outlook on enabling IPNN with low energy consumption,robust photonic operations,and efficient training strategies,aiming to guide the maturation of general-purpose,low-power photonic AI.
