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检索条件"任意字段=Conference on Photon Processing in Microelectronics and Photonics V"

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A Programmable Qudit-based Quantum Processor

A Programmable Qudit-based Quantum Processor

引用

2023 conference on Lasers and Electro-Optics, CLEO 2023

作者： Chi, Yulin Huang, Jieshan Zhang, Zhanchuan Mao, Jun Zhou, Zinan Chen, Xiaojiong Zhai, Chonghao Bao, Jueming Dai, Tianxiang Yuan, Huihong Zhang, Ming Dai, Daoxin Tang, Bo Yang, Yan Li, Zhihua Ding, Yunhong Oxenløwe, Leif K. Thompson, Mark G. O'Brien, Jeremy L. Li, Yan Gong, Qihuang Wang, Jianwei State Key Laboratory for Mesoscopic Physics School of Physics Peking University Beijing100871 China Beijing Academy of Quantum Information Sciences Beijing100193 China State Key Laboratory for Modern Optical Instrumentation College of Optical Science and Engineering Ningbo Research Institute International Research Center for Advanced Photonics Zhejiang University Hangzhou310058 China Institute of Microelectronics Chinese Academy of Sciences Beijing100029 China Department of Photonics Engineering Technical University of Denmark Kgs. Lyngby2800 Denmark Technical University of Denmark Kgs. Lyngby2800 Denmark Quantum Engineering Technology Labs H. H. Wills Physics Laboratory Department of Electrical and Electronic Engineering University of Bristol BristolBS8 1FD United Kingdom Department of Physics The University of Western Australia Perth6009 Australia Frontiers Science Center for Nano-optoelectronics & Collaborative Innovation Center of Quantum Matter Peking University Beijing100871 China Collaborative Innovation Center of Extreme Optics Shanxi University Shanxi Taiyuan030006 China Peking University Yangtze Delta Institute of Optoelectronics Jiangsu Nantong226010 China

We designed, fabricated, and characterized a programmable qudit-based quantum processor on silicon. We implemented several quantum algorithms with qudits, showing the logarithmic speed-up, photon detection rate enhanc... 详细信息

ISBN: (纸本)9781957171258

关键词： Quantum optics

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AI-based Image processing Technique for Dielectrophoresis (DEP) in BioMEMs Applications 16

AI-based Image Processing Technique for Dielectrophoresis (D...

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16th IEEE International conference on Semiconductor Electronics (ICSE)

作者： Tee, Clarence Augustine T. H. Majlis, Burhanuddin Yeop Li, Sheng Yu, En Hao Buyong, Muhamad Ramdzan Song, Le Yeo, W. P. Zain, Ahmad Rifqi Md Zheng, Yelong Zhejiang Normal Univ Coll Phys & Elect Informat Engn Jinhua 321004 Zhejiang Peoples R China Univ Kebangsaan Malaysia Inst Microengn & Nanoelect IMEN Ukm Bangi 43600 Selangor Malaysia Zhejiang Inst Optoelect Jinhua 321004 Zhejiang Peoples R China Zhejiang Normal Univ Photon & Sensors Key Res Lab Jinhua 321004 Zhejiang Peoples R China Tianjin Univ State Key Lab Precis Measurement Technol & Instru Tianjin 300072 Peoples R China

ISBN: (纸本)9798350378313

The integration of artificial intelligence (AI) methodology in the flexible electronics, BioMEMs and Dielectrophoresis (DEP) system provides an accurate, comprehensive, simple and cost-effective approach especially in the real time cell sorting, target identification, monitoring, biological entities separation, analysis and postulation. Here, a novel approach integrating AI algorithms with DEP technology for BioMEMs system has been demonstrated in real-time bacteria identification via detecting, identifying simultaneously, lock-in monitoring bacterial movement trajectories, analyzing, measuring and calculating bacteria's velocities of different frequencies. The AI-based bacterial recognition system creates real-time, fast, accurate, unlimited bacteria lock-in monitoring with high accuracy. Furthermore, the bacteria can be tracked, monitored, and analyzed using big data analysis and Deep Learning (DL) in real-time via a visual control interface system, as part of the Internet of Things (IoT) and intelligent information sharing between BioMEMS sensors and IoT networks.

关键词： AI-based fractional-order differential algorithm Dielectrophoresis (DEP) Image processing BioMEMs Artificial Intelligence-Deep Learning (AI-DL)

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Directionally unbiased nanophotonic waveguide multiports for integrated quantum photonics applications

Directionally unbiased nanophotonic waveguide multiports for...

引用

conference on Quantum Nanophotonic Materials, Devices, and Systems

作者： Manni, Anthony D. Schwarzei, Christopher R. Simone, David S. Ndao, Abdoulaye Sergienko, Alexander, v Boston Univ Dept Elect & Comp Engn 8 St Marys St Boston MA 02215 USA Boston Univ Photon Ctr 8 St Marys St Boston MA 02215 USA Stonehill Coll Dept Phys & Astron 320 Washington St Easton MA 02357 USA Univ Calif San Diego Dept Elect & Comp Engn Engineers Lane San Diego CA 92161 USA Boston Univ Dept Phys 590 Commonwealth Ave Boston MA 02215 USA

ISBN: (纸本)9781510679016;9781510679009

Directionally unbiased multiports are novel photonic components where each port could equally serve as an input and an output point for light. This new concept of linear-optical devices enables the design of next-generation classical and quantum photonic devices for applications in sensing, metrology, and information processing. Though some unbiased multiports have been realized as collections of free space optics, their implementation in a graph network is impractical due to their sensitivity to misalignment and the strict coherence requirements of their fundamental interference phenomena. Therefore, developing chip-integrated embodiments of interconnected, unbiased multiports will provide an experimental platform for novel quantum photonics devices. This includes enhanced-sensitivity interferometers for navigation, low-power optical modulators, quantum entanglement routing, and discrete-time Hamiltonian simulation. Here we investigate the design of nanoscale, directionally unbiased photonic integrated circuits (PICs), and show how symmetry can be utilized to reach a more optimal design.

关键词： directionally unbiased multiports Grover Coin quantum networking quantum optics quantum sensing photonic integrated circuits (PICs) topology optimization nanophotonics

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Neuromorphic photonics for Intelligent Signal processing

Neuromorphic Photonics for Intelligent Signal Processing

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Annual conference of the IEEE-photonics-Society (IPC)

作者： Huang, Chaoran de Lima, Thomas Ferreira Tait, Alexander N. Marquez, Bicky A. Shastri, Bhavin J. Prucnal, Paul R. Princeton Univ Princeton NJ 08542 USA Chinese Univ Hong Kong Hong Kong Peoples R China Queens Univ Kingston ON KL7 3N6 Canada

Neuromorphic photonic processors create a radically new hardware platform for intelligent signal processing by offering sub-nanosecond latency and high bandwidth with low energy. Here, we discuss the current developme... 详细信息

ISBN: (纸本)9781665416016

关键词： neuromorphic computing silicon photonics machine learning signal processing

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引用

48th IEEE European Solid State Circuits conference (ESSCIRC)

作者： Kramnik, D. Wang, I. Cabanillas, J. M. Fargas Ramesh, A. Buchbinder, S. Zarkos, P. Adamopoulos, C. Kumar, P. Popovic, M. A. Stojanovic, v. Univ Calif Berkeley Dept Elect Engn & Comp Sci Berkeley CA 94720 USA Boston Univ Dept Elect & Comp Engn Photon Ctr Boston MA 02215 USA Northwestern Univ Dept Elect & Comp Eng Evanston IL 60208 USA

ISBN: (数字)9781665484947

ISBN: (纸本)9781665484947

Integrated photonics provides scalability needed for useful photonic quantum information processing. Many optical resonators must be aligned to the same pump wavelength to produce sources of quantum-correlated photon pairs that drive such systems, but existing solutions rely on manual alignment or offline tuning based on external photodiodes and bulky off-chip electronics, limiting scalability. Here we demonstrate feedback control of four-wave mixing (stimulated and spontaneous) in a silicon microring using circuits integrated alongside photonics in a standard 45 nm CMOS foundry process. The carrier-sweepout-generated feedback signal enables in-situ operation in the photon-pair generation regime, which is a key building block enabling large-scale CMOS quantum-photonic systems-on-chip.

关键词： Scalability Four-wave mixing Process control Information processing Foundries Silicon Feedback control

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Scalable Quantum Signal processing with Integrated photonics and Fiber-based Modules 23

Scalable Quantum Signal Processing with Integrated Photonics...

引用

23rd International conference on Transparent Optical Networks, ICTON 2023

作者： Montaut, Nicola Roztocki, Piotr Yu, Hao Sciara, Stefania Chemnitz, Mario Jestin, Yoann Maclellan, Benjamin Fischer, Bennet Kues, Michael Reimer, Christian Cortes, Luis Romero Wetzel, Benjamin Zhang, Yanbing Loranger, Sebastien Kashyap, Raman Cino, Alfonso Chu, Sai T. Little, Brent E. Moss, David J. Caspani, Lucia Munro, William J. Azaña, José Morandotti, Roberto Institut National de la Recherche Scientifique - Centre Énergie 1650 Boulevard Lionel-Boulet VarennesQCJ3X 1P7 Canada University of Electronic Science and Technology of China Institute of Fundamental and Frontier Sciences 610054 China University of Palermo Department of Energy Information Engineering and Mathematical Models Palermo Italy Ki3 Photonics Technologies Inc 2547 Rue Sicard MontrealH1V 2Y8 Canada Leibniz University Hannover Institute of Photonics Hannover Germany HyperLight Corporation 1 Bow Street CambridgeMA02138 United States Université de Limoges Xlim Research Institute CNRS UMR 7252 Limoges France Polytechnique Montreal Department of Engineering Physics QCH3C 3A7 Canada City University of Hong Kong Department of Physics 83 Tat Chee Avenue Hong Kong Hong Kong University of Chinese Academy of Sciences Beijing100049 China Swinburne University of Technology Optical Sciences Centre HawthornVIC Australia University of Strathclyde Institute of Photonics Department of Physics GlasgowG11RD United Kingdom NTT Basic Research Laboratories NTT Research Center for Theoretical Quantum Physics NTT Corporation 3-1 Morinosato-Wakamiya Kanagawa Atsugishi243-0198 Japan National Institute of Informatics 2-1-2 Hitotsubashi Chiyoda-ku Tokyo101-8430 Japan

ISBN: (纸本)9798350303032

Quantum photonic resources are critical for advanced applications such as quantum computation, communication, and information processing. Efficient generation and detection of quantum states, as well as reliable photon manipulation techniques, are essential for the development of practical quantum technologies. Integrated photonic platforms offer attractive solutions due to their stability, small device footprint, and improved power efficiencies. However, optical loss and environmental noise hinder their capability to transmit, measure, and detect quantum states with high accuracies. To tackle these limitations, we have developed robust solutions for quantum signal processing by leveraging infrastructures from telecommunications and integrated photonics. These approaches focus on the use of silicon-based photonic sources for entanglement generation in the time and frequency degrees of freedom, as well as chip- and fiber-based architectures for entanglement verification via quantum interference and tomography measurements. Our photonic schemes allow for high-dimensional entanglement processing, demonstrating their versatility in developing scalable and cost-efficient quantum signal processing platforms. © 2023 IEEE.

关键词： Degrees of freedom (mechanics)

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A 2-D Noise Model for CMOS Single photon Avalanche Diodes

A 2-D Noise Model for CMOS Single Photon Avalanche Diodes

引用

IEEE Electron Devices Technology and Manufacturing conference (EDTM)

作者： Xuanyu Qian Wei Jiang M. Jamal Deen Microelectronics Thrust Hong Kong University of Science and Technology Guangzhou China Department of Electrical and Computer Engineering McMaster University Canada Department of Biomedical Engineering McMaster University Canada

ISBN: (数字)9798331504168

ISBN: (纸本)9798331504175

Recent advances have enabled single-photon avalanche diodes (SPADs) to be fully integrated with CMOS signal conditioning and processing circuits, paving the way for compact and efficient imaging applications. However, a significant challenge remains: the absence of accurate models for optimizing the SPAD design prior to fabrication. In this paper, we present a comprehensive noise model and compare simulation results with experimental measurements. Our findings highlight the effectiveness and the necessity of robust SPAD modeling for design optimization as a critical step before fabrication.

关键词： Semiconductor device modeling Fabrication Accuracy Simulation Noise Circuits Noise measurement Integrated circuit modeling Single-photon avalanche diodes photonics

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Neuromorphic Image processing with a vCSEL Neuron

Neuromorphic Image Processing with a VCSEL Neuron

引用

Annual conference of the IEEE-photonics-Society (IPC)

作者： Robertson, Joshua Alanis, Juan Di Caterina, Gaetano Kirkland, Paul Hejda, Matej Hurtado, Antonio Bueno, Julian Univ Strathclyde Inst Photon Dept Phys Glasgow Lanark Scotland Univ Strathclyde Dept Elect & Elect Engn Glasgow Lanark Scotland

photonic spiking vCSEL-neurons are used for high-speed neuromorphic image processing. We demonstrate that a vCSEL-Neuron system using sequential kernel operators successfully reveals all edge-features from 5000 comple... 详细信息

ISBN: (纸本)9781665416016

关键词： vCSELs Neuromorphic photonics Image processing Laser Dynamics

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Commoditizing the uncommoditized: Chip-scale LiDAR 22

Commoditizing the uncommoditized: Chip-scale LiDAR

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conference on Optical Interconnects XXII at SPIE OPTO conference

作者： Shin, Dongjae Hwang, Inoh Lee, Eunkyung Shin, Changgyun Lee, Jisan Byun, Hyunil Shim, Dongshik Jang, Bongyong Lee, Changbum Son, Kyunghyun Otsuka, Tatsuhiro Choo, Hyuck Ha, Kyoungho Samsung Adv Inst Technol Photon Device Lab Suwon 16678 South Korea

ISBN: (纸本)9781510648869;9781510648852

The commoditization of photonics would be possible only with the development of photonic integrated circuits and appropriate volume applications that require them. As such an application, a light detection and ranging(LiDAR) sensor has recently been in strong demand from various applications including autonomous driving. In terms of technology, as silicon photonics enters an industrial phase and begins to utilize the existing CMOS infrastructure, photonic integrated circuits are also expected to enter a virtuous cycle of volume and cost. This work outlines the current status of LiDAR research using the silicon photonics platform in Samsung. Based on the III/v-on-Si technology, Samsung's platform enables the development of chip-scale LiDAR that integrates all photonic devices such as wavelength-tunable laser, semiconductor optical amplifier, and custom optical phased array. With the LiDAR chip in the core, a palm-top LiDAR module prototype including control and signal processing circuits is also presented. Then, initial application-level attempts in autonomous driving are presented in the hope of pathfinding towards the LiDAR commoditization, and more broadly, commoditization of photonics.

关键词： LiDAR Optical phased array Silicon photonics photonic integrated circuit

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Material characterisation of LPCvD SiN and understanding loss behavior

Material characterisation of LPCVD SiN and understanding los...

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2023 conference on Lasers and Electro-Optics Europe and European Quantum Electronics conference, CLEO/Europe-EQEC 2023

作者： Cummins, Cian Pan, Biwei Roelkens, Gunther Dahlem, Marcus Saseendran, Sandeep S. Helin, Philippe IMEC Kapeldreef 75 Leuven3001 Belgium Photonics Research Group INTEC Ghent University - Imec Ghent Belgium Center for Nano- and Biophotonics Ghent University - Imec Ghent Belgium

ISBN: (纸本)9798350345995

SiN photonic integrated circuit (PIC) technology has emerged as an attractive platform for a variety of sensing, LIDAR, and communication uses.[1] In comparison to Si and InP photonics, SiN offers a wide transparency window, negligible nonlinear losses (i.e. two photon absorption), and possesses a low refractive index and a low thermal coefficient. Thus, ultralow loss SiN waveguides have been achieved which are less susceptible to thermal fluctuations.[2] Driving out hydrogen content in SiN via high temperature anneal is critical during processing to minimize optical losses in the C-band (1550nm) wavelength.[3] Here, we discuss possible reasons for increased losses observed in our devices including;1) cladding oxide, 2) SiN impurities and 3) proximity of a-Si, see process in Fig. 1(a). Note the stack indicated in the scheme illustrates the cross-section at spiral test structure sites only (Fig.1b). An a-Si intermediate layer is also introduced to mitigate the large index difference between SiN and III-v materials for light amplification or detection purposes. Pan et al. used the same stack to demonstrate a narrow-linewidth laser post III-v gain medium micro transfer printing.[4] Exemplar SEM images are shown in Fig.1(b) of a SiN waveguide with 1 um oxide top cladding (left image) and an a-Si waveguide layer close to the SiN waveguide (right image). The distance between the a-Si waveguide layer and SiN is 100 nm (nominal, see blue arrows in Fig.1(b). We will outline the SiN waveguides losses as were measured using the cut-back method of varying spiral lengths at process steps 1, 3 and 4. © 2023 IEEE.

关键词： Refractive index

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