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检索条件"任意字段=Conference on Photonic Devices and Algorithms for Computing III"

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Nano-indented Ge surfaces by metal-assisted chemical etching (MacEtch) and its application for optoelectronic devices 75

Nano-indented Ge surfaces by metal-assisted chemical etching...

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75th Annual Device Research conference (DRC)

作者： Kim, Munho Yi, Soongyu Kim, Jeong Dong Liu, Shih-Chia Zhou, Weidong Yu, Zongfu Li, Xiuling Univ Illinois Dept Elect & Comp Engn Micro & Nanotechnol Lab Urbana IL 61801 USA Univ Wisconsin Dept Elect & Comp Engn 1415 Johnson Dr Madison WI 53706 USA Univ Texas Arlington Dept Elect Engn Arlington TX 76019 USA

ISBN: (纸本)9781509063284

Surface reflection is one of the major limiting factors to determine light absorption performance of optoelectronic devices. In recent years, light management using various types of nanostructures has gained much attention [1]. However, fabricating the nanostructures by conventional dry etching results in damage within the crystal structures attributed to high energy ions. Metal assisted chemical etching (MacEtch) is an alternative method to produce the nanostructures [2]. Because MacEtch is fundamentally a wet etch which does not involve high energy ions, structural defects can be avoided [3,4]. Therefore, the technique has been widely used to create surface texturing for the optoelectronic and photonic applications. However, the MacEtch enabled nanostructures have been mainly formed on Si and iii-V compounds [5,6]. In this report, we present a novel MacEtch based technique to create nano-indentations on Ge and the enhanced responsivity and reduced dark current of Ge photodiodes.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks Signal processing algorithms

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GALLIUM NITRIDE ON GALLIUM OXIDE SUBSTRATE FOR INTEGRATED NONLINEAR OPTICS

GALLIUM NITRIDE ON GALLIUM OXIDE SUBSTRATE FOR INTEGRATED NO...

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photonics North (PN) conference

作者： Awan, Kashif M. Dolgaleva, Ksenia Muhammed, Mufasila M. Roqan, Iman S. Univ Ottawa Sch Elect Engn & Comp Sci Ottawa ON Canada King Abdullah Univ Sci & Technol Phys Sci & Engn Div Thuwal Saudi Arabia

ISBN: (纸本)9781538621929

Gallium Nitride (GaN), being a direct bandgap semiconductor with a wide bandgap and high thermal stability, is attractive for optoelectronic and electronic applications. Furthermore, due to its high optical nonlinearity the characteristic of all iii-V semiconductors GaN is also expected to be a suitable candidate for integrated nonlinear photonic circuits for a plethora of applications, ranging from on-chip wavelength conversion to quantum computing. Although GaN devices are in commercial production, it still suffers from lack of a suitable substrate material to reduce structural defects like high densities of threading dislocations (TDs), stacking faults, and grain boundaries. These defects significantly deteriorate the optical quality of the epi-grown GaN layer, since they act as non-radiative recombination centers. Recent studies have shown that GaN grown on (-201) beta-Gallium Oxide (Ga2O3) has superior optical quality due to a better lattice matching as compared to GaN grown on Sapphire (Al2O3) [1-3]. In this work, we report on the fabrication of GaN waveguides on Ga2O3 substrate and their optical characterization to assess their feasibility for efficient four-wave mixing (FWM).

关键词： nonlinear optics integrated photonic circuits four-wave mixing all-optical wavelength conversion GaN epitaxial growth component semiconductor fabrication plasma etching

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Towards electro-optical integration of hybrid iii-V on Si lasers into the BEOL of a CMOS technology 75

Towards electro-optical integration of hybrid III-V on Si la...

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75th Annual Device Research conference (DRC)

作者： Hahn, H. Seifried, M. Villares, G. Baumgartner, Y. Halter, M. Caer, C. Caimi, D. Sousa, M. Dangel, R. Meier, N. Horst, F. Czornomaz, L. Offrein, B. J. IBM Res GmbH Zurich Lab Saumerstr 4 CH-8803 Ruschlikon Switzerland

ISBN: (纸本)9781509063284

Interconnects have become a severe bottleneck in today's computing hardware. For large-scale data centers in particular, the interconnect situation is even more severe. The interconnect bandwidth and bandwidth density have to be increased on all system-levels. The ideal technology to increase the density is Si photonics (SiPh). While the integration of most of the SiPh components has been mastered already on a 90 nm CMOS platform, the integration of iii-V materials to yield directly-modulated lasers still poses a major challenge. This integration is considered as the cornerstone for reaching a complete, yet cost-competitive, SiPh-CMOS marriage. Most concepts shown so far either lack CMOS-compatibility or have device dimensions that hinder the integration of the laser into a standard BEOL. To allow for a common BEOL between SiPh and CMOS, we integrate the iii-V material between the FEOL and BEOL, within the first interlayer dielectric ILD0'. Such integration imposes tight requirements on device dimensions as well as several technological challenges that have to be mastered. We report here on decisive aspects of such integration. This represents a major step towards a full integration of iii-V, SiPh and CMOS.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks Signal processing algorithms

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Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration 1st ed. 2017

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丛书名： Communications in Computer and Information Science

2017年

作者： Kang Li Yusheng Xue Shumei Cui Qun Niu Zhile Yang Patrick Luk

ISBN: (数字)9789811063640

ISBN: (纸本)9789811063633

The three-volume set CCIS 761, CCIS 762, and CCIS 763 constitutes the thoroughly refereed proceedings of the International conference on Life System Modeling and Simulation, LSMS 2017, and of the International conference on Intelligent computing for Sustainable Energy and Environment, ICSEE 2017, held in Nanjing, China, in September 2017. The 208 revised full papers presented were carefully reviewed and selected from over 625 submissions. The papers of this volume are organized in topical sections on: Biomedical Signal Processing; Computational Methods in Organism Modeling; Medical Apparatus and Clinical Applications; Bionics Control Methods, algorithms and Apparatus; Modeling and Simulation of Life Systems; Data Driven Analysis; Image and Video Processing; Advanced Fuzzy and Neural Network Theory and algorithms; Advanced Evolutionary Methods and Applications; Advanced Machine Learning Methods and Applications; Intelligent Modeling, Monitoring, and Control of Complex Nonlinear Systems; Advanced Methods for Networked Systems; Control and Analysis of Transportation Systems; Advanced Sliding Mode Control and Applications; Advanced Analysis of New Materials and devices; Computational Intelligence in Utilization of Clean and Renewable Energy Resources; Intelligent Methods for Energy Saving and Pollution Reduction; Intelligent Methods in Developing Electric Vehicles, Engines and Equipment; Intelligent computing and Control in Power Systems; Modeling, Simulation and Control in Smart Grid and Microgrid; Optimization Methods; Computational Methods for Sustainable Environment.

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Silicon photonics for optical computing, interconnects and sensing

Silicon photonics for optical computing, interconnects and s...

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Microopics conference (MOC)

作者： Ray T. Chen Omega Optics Austin TX Microelectronics Research Center The University of Texas Austin Texas USA

Silicon photonics has been an active research topic for the past twenty years. The maturity of silicon nanofabrication and the transparency of silicon material at C- and L-band are a critical factor for the realization of silicon photonics for real applications. However, due to the intrinsic nature of indirect bandgap, hybrid integration with external iii-V based lasers is the trend for integration. In this talk, we will focus on several key application areas. Figure 1 shows the system architecture to be demonstrated using iii-V and silicon integrated photonic devices where energy consumption and bandwidth can be significantly improved.

关键词： Silicon Biosensors photonics Optical ring resonators photonic crystals Optical waveguides

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photonic Reservoir Computer With Output Feedback for Chaotic Time Series Prediction

Photonic Reservoir Computer With Output Feedback for Chaotic...

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International Joint conference on Neural Networks

作者： Piotr Antonik Michiel Hermans Marc Haelterman Serge Massar Laboratoire d'Information Quantique Université libre de Bruxelles Avenue F. D. Roosevelt 50 CP 224 Brussels Belgium Service OPERA-Photonique Université libre de Bruxelles Avenue F. D. Roosevelt 50 CP 194/5 Brussels Belgium

ISBN: (纸本)9781509061839

Reservoir computing is a bio-inspired computing paradigm for processing time dependent signals. It can be easily implemented in hardware. The performance of these analogue devices matches digital algorithms on a series of benchmark tasks. Their capacities could be extended by feeding the output signal back into the reservoir, which would allow them to be applied to various signal generation tasks. In practice, this requires a high-speed readout layer for real-time output computation. Here we achieve this by means of an FPGA chip, and demonstrate the first photonic reservoir computer with output feedback. We test our setup on the Mackey-Glass chaotic time series generation task and obtain interesting prediction horizons, comparable to numerical simulations, with ample room for further improvement. Our work thus demonstrates the potential offered by the output feedback and opens a new area of novel applications for photonic reservoir computing.

关键词： Reservoirs Computers Field programmable gate arrays Output feedback Time series analysis Training photonics

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Logic Synthesis for Silicon and Beyond-Silicon Multi-gate Pass-Logic Circuits 1

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24th IFIP WG 10.5/IEEE International conference on Very Large Scale Integration ( VLSI-SoC)

作者： Tenace, Valerio Calimera, Andrea Macii, Enrico Poncino, Massimo Politecn Torino Dipartimento Automat & Informat Corso Duca Abruzzi 24 Turin Italy

ISBN: (数字)9783319671048

ISBN: (纸本)9783319671048;9783319671031

In the last decade several new technologies have been proposed as possible replacement for MOSFETs;Silicon Nanowires, Magnetic Tunnel Junctions, Graphene p-n Junctions are just some of the most representative examples. Although their intrinsic differences, they all share a common key characteristic, i.e., enable the implementation of logic gates with an expressive power much higher than that of state-of-art silicon CMOS gates. This may translate into more complex and faster switching functions that count less devices. The view of new materials that can serve as technological vehicles for energy efficient circuits and systems attracted the interested of the whole electronics research community. Apart from the many technological aspects, the path towards large-scale integration of emerging devices crosses the need of (i) new integration strategies that better fit the characteristics of the new technologies and (ii) new computer-aided design (CAD) methodologies able to cope with the complexity of today's design specs. The availability of this two elements may open the way for fast design space exploration and better assessment of new technologies against standard CMOS. This work focuses on logic synthesis and optimization tools for ultra-low power pass-gate circuits mapped into emerging technologies, Graphene and silicon nano-wires. More specifically, we describe a novel multi-function decomposition engine that (i) efficiently performs abstract circuit modeling through a highly-compact data structure called Multi-Function Pass Diagram (MFPD), (ii) provides an effective multi-gate synthesis & optimization flow, (iii) allows accurate power/delay estimations. The contents reported in the following sections represent one of the first examples of how dedicated algorithms and data-structures can substantially improve the quality-of-design when moving from CMOS to emerging technologies. Simulation run conducted on different benchmarks demonstrate that pass-gate circuits synth

关键词： Emerging technologies Graphene Silicon nano-wires Pass-gate logic CAD Logic synthesis Low-power Adiabatic computing

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Noise resilience of Bayesian quantum phase estimation tested on a Si quantum photonic chip

Noise resilience of Bayesian quantum phase estimation tested...

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conference on Lasers and Electro-Optics Europe (CLEO EUROPE)

作者： A. A. Gentile S. Paesani R. Santagati J. Wang N. Wiebe D. Tew J. L. O'Brien M. G. Thompson Department of Electrical and Electronic Engineering University of Bristol Bristol United Kingdom Quantum Architectures and Computation Group Microsoft Research Redmond Washington USA School of Chemistry University of Bristol Bristol United Kingdom

ISBN: (纸本)9781509067374

Summary form only given. Quantum Phase Estimation (PE) is a fundamental building block in the framework of Quantum computing. Accurate estimation of the true eigenphase φ 0 of a known eigenstate |φ〉 is fundamental for the implementation of many promising quantum algorithms. The interest in PE is also due to the modest quantum hardware requirements of the Iterative Phase Estimation Algorithm (IPEA) implementation [1], successfully implemented on small-scale devices [2]. However, IPEA makes hard decisions at each step of the algorithm, relying on majority voting schemes for its robustness against noise. It has been observed how non-error-corrected machines may enter a regime where error-rates for IPEA diverge quickly, making this approach impractical [3]. New Bayesian approaches, such as the Rejection Filtering Phase Estimation (RFPE), have been recently proposed to overcome these limitations [4]. Here, we report the implementation of RFPE in a photonic device embedding state-of-art integrated elements. Spontaneous Four Wave Mixing sources generate photon pairs. State preparation and evolution are accomplished via integrated Mach-Zehnder interferometers and thermo-optical phase shifters operating in the hundreds of kHz regime. Fast reconfigurability is key for RFPE, as the algorithm adaptively chooses the parameters for each experiment. Arbitrary CU(2) controlled operations are made possible by an entanglement-based scheme, integrated on this chip for the first time.

关键词： Phase estimation photonics Bayes methods Quantum computing Robustness Resilience Chemistry

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Security Lock System for Mobile devices Based on Fingerprint Recognition Algorithm 36th

Security Lock System for Mobile Devices Based on Fingerprint...

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36th International conference on Information Systems Architecture and Technology (ISAT)

作者： Szczepanik, Michal Jozwiak, Ireneusz J. Jamka, Tomasz Stasinski, Karol Wroclaw Univ Technol Fac Comp Sci & Management Dept Informat PL-50370 Wroclaw Poland

ISBN: (纸本)9783319285641;9783319285627

In this paper authors focus on fingerprint recognition biometric systems used by mobile devices to unlock or to confirm user actions. Authors compare the existing fingerprint recognition algorithms and test their own algorithm on fingerprints database, which include changes in the structure as a result of physical damage. They also propose new selective attention algorithms, which help to detect the most sensitive to damage areas, and add it as step of fingerprint analyses for the fingerprint recognition procedures. They also propose a new algorithm, which does not require complex hardware systems, so it can be applied in mobile devices, which restrict unauthorized access to sensitive data or other user's resources. The main goal of this work is to demonstrate the applicability of the developed algorithm for mobile devices.

关键词： Biometric Fingerprint Minutia group Access controls

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Embedded parallel computing accelerators for smart control units of frequency converters 29th

Embedded parallel computing accelerators for smart control u...

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29th International conference on Architecture of computing Systems, ARCS 2016

作者： Vaas, Steffen Reichenbach, Marc Hofmann, Johannes Stadelmayer, Thomas Fey, Dietmar Germany

ISBN: (纸本)9783800741571

Classical frequency converters are designed as embedded devices optimized for a specific application-field. But in times of Industry 4.0 simple frequency converters change to smart control units and become more intelligent with analysis and reporting functions to build up smart grids in automation systems for reducing maintenance costs and increasing productivity. To realize these new functions, an evaluation is needed, which kind of computer architectures should be used for these new devices. Due to more complex algorithms, classical microcontrollers are not sufficient anymore. Therefore, we show in this paper, if and how microprocessors in smart control units can benefit from highly parallel hardware accelerators. Consequently, we propose to increase the performance of an ARM Cortex-A9 processor by using an Epiphany iii E16 many-core processor as hardware accelerator for complex analysis tasks. Our results show, that a speedup of 1.78 can be achieved, while the power consumption is increased by only 9%. © VDE VERLAG GMBH.

关键词： Automation

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