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

共 79 条记录，以下是21-30 订阅

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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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Description and development of the means of a model experiment for load balancing in distributed computing systems 8

Description and development of the means of a model experime...

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8th International Scientific conference on Issues of Physics and Technology in Science, Industry and Medicine

作者： Nagiyev, A. E. Sherstnyova, A. I. Botygin, I. A. Galanova, N. Y. Tomsk Polytech Univ Tomsk Russia Tomsk State Univ Tomsk Russia

The results of the statistical model experiments research of various load balancing algorithms in distributed computing systems are presented. Software tools were developed. These tools, which allow to create a virtual infrastructure of distributed computing system in accordance with the intended objective of the research focused on multi-agent and multi-threaded data processing were developed. A diagram of the control processing of requests from the terminal devices, providing an effective dynamic horizontal scaling of computing power at peak loads, is proposed.

关键词： Data handling

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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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Optical Implementation of Neural Learning algorithms Based on Cross-gain Modulation in a Semiconductor Optical Amplifier 6

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conference on Optoelectronic devices and Integration VI

作者： Li, Qiang Wang, Zhi Le, Yansi Sun, Chonghui Song, Xiaojia Wu, Chongqing Beijing Jiaotong Univ Sch Sci Inst Opt Informat Beijing 100044 Peoples R China Minist Educ Key Lab Luminescence & Opt Informat Beijing 100044 Peoples R China

ISBN: (数字)9781510604582

ISBN: (纸本)9781510604575;9781510604582

Neuromorphic engineering has a wide range of applications in the fields of machine learning, pattern recognition, adaptive control, etc. photonics, characterized by its high speed, wide bandwidth, low power consumption and massive parallelism, is an ideal way to realize ultrafast spiking neural networks (SNNs). Synaptic plasticity is believed to be critical for learning, memory and development in neural circuits. Experimental results have shown that changes of synapse are highly dependent on the relative timing of pre- and postsynaptic spikes. Synaptic plasticity in which presynaptic spikes preceding postsynaptic spikes results in strengthening, while the opposite timing results in weakening is called antisymmetric spike-timing-dependent plasticity (STDP) learning rule. And synaptic plasticity has the opposite effect under the same conditions is called antisymmetric anti-STDP learning rule. We proposed and experimentally demonstrated an optical implementation of neural learning algorithms, which can achieve both of antisymmetric STDP and anti-STDP learning rule, based on the cross-gain modulation (XGM) within a single semiconductor optical amplifier (SOA). The weight and height of the potentitation and depression window can be controlled by adjusting the injection current of the SOA, to mimic the biological antisymmetric STDP and anti-STDP learning rule more realistically. As the injection current increases, the width of depression and potentitation window decreases and height increases, due to the decreasing of recovery time and increasing of gain under a stronger injection current. Based on the demonstrated optical STDP circuit, ultrafast learning in optical SNNs can be realized.

关键词： Spike-timing-dependent plasticity photonic Neural Network Hebbian Learning Rule Cross-gain Modulation Neural network hardware Optical signal processing Optical computing

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Control of the cavity reflectivity using a single quantum dot spin 8

Control of the cavity reflectivity using a single quantum do...

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conference on Advances in photonics of Quantum computing, Memory, and Communication viii

作者： Sun, Shuo Kim, Hyochul Solomon, Glenn S. Waks, Edo Univ Maryland Inst Res Elect & Appl Phys College Pk MD 20742 USA NIST Joint Quantum Inst Gaithersburg MD 20899 USA Univ Maryland Gaithersburg MD 20899 USA

ISBN: (纸本)9781628414677

We experimentally realize a solid-state spin-photon transistor using a quantum dot strongly coupled to a photonic crystal cavity. We are able to control the light polarization through manipulation of the quantum dot spin states. The spinphoton transistor is crucial for realizing a quantum logic gate or generating hybrid entanglement between a quantum dot spin and a photon. Our results represent an important step towards semiconductor based quantum logic devices and onchip quantum networks.

关键词： Cavity quantum electrodynamics quantum dot spin photonic crystal cavity

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Hybrid quantum nanophotonic devices for coupling to rare-earth ions 8

Hybrid quantum nanophotonic devices for coupling to rare-ear...

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conference on Advances in photonics of Quantum computing, Memory, and Communication viii

作者： Miyazono, Evan Hartz, Alex Zhong, Tian Faraon, Andrei CALTECH TJ Watson Lab Appl Phys Pasadena CA 91125 USA

ISBN: (纸本)9781628414677

With an assortment of narrow line-width transitions spanning the visible and IR spectrum and long spin coherence times, rare-earth doped crystals are the leading material system for solid-state quantum memories. Integrating these materials in an on-chip optical platform would create opportunities for highly integrated light-matter interfaces for quantum communication and quantum computing. Nano-photonic resonators with high quality factors and small mode volumes are required for efficient on-chip coupling to the small dipole moment of rare-earth ion transitions. However, direct fabrication of optical cavities in these crystals with current nanofabrication techniques is difficult and unparallelized, as either exotic etch chemistries or physical milling processes are required. We fabricated hybrid devices by mechanically transferring a nanoscale membrane of gallium arsenide (GaAs) onto a neodymium-doped yttrium silicon oxide (Y2SiO5) crystal and then using electron beam lithography and standard III-V dry etching to pattern nanobeam photonic crystal cavities and ring resonator cavities, a technique that is easily adapted to other frequency ranges for arbitrary dopants in any rare earth host system. Single crystalline GaAs was chosen for its low loss and high refractive index at the transition wavelength. We demonstrated the potential to evanescently couple between the cavity field and the 883 nm I-4(9/2)-F-4(3/2) transition of nearby neodymium impurities in the host crystal by examining transmission spectra through a waveguide coupled to the resonator with a custom-built confocal microscope. The prospects and requirements for using this system for scalable quantum networks are discussed.

关键词： Quantum optics Optical devices Quantum electrodynamics Rare-earth-doped materials Coherent optical effects Optical memories

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Optical modular arithmetic

Optical modular arithmetic

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conference on Micro- and Nanotechnology Sensors, Systems, and Applications VI

作者： Pavlichin, Dmitri S. Mabuchi, Hideo Stanford Univ Edward L Ginzton Lab Stanford CA 94305 USA

ISBN: (纸本)9781628410204

Nanoscale integrated photonic devices and circuits offer a path to ultra-low power computation at the few-photon level. Here we propose an optical circuit that performs a ubiquitous operation: the controlled, random-access readout of a collection of stored memory phases or, equivalently, the computation of the inner product of a vector of phases with a binary "selector" vector, where the arithmetic is done modulo 2pi and the result is encoded in the phase of a coherent field. This circuit, a collection of cascaded interferometers driven by a coherent input field, demonstrates the use of coherence as a computational resource, and of the use of recently-developed mathematical tools for modeling optical circuits with many coupled parts. The construction extends in a straightforward way to the computation of matrix-vector and matrix-matrix products, and, with the inclusion of an optical feedback loop, to the computation of a "weighted" readout of stored memory phases. We note some applications of these circuits for error correction and for computing tasks requiring fast vector inner products, e.g. statistical classification and some machine learning algorithms.

关键词： quantum circuits open quantum systems optical computing coherent feedback

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SPADnet: a fully digital, scalable and networked photonic component for time-of-flight PET applications

SPADnet: a fully digital, scalable and networked photonic co...

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conference on Biophotonics - photonic Solutions for Better Health Care IV

作者： Bruschini, Claudio Charbon, Edoardo Veerappan, Chockalingam Braga, Leo H. C. Massari, Nicola Perenzoni, Matteo Gasparini, Leonardo Stoppa, David Walker, Richard Erdogan, Ahmet Henderson, Robert K. East, Steve Grant, Lindsay Jatekos, Balazs Ujhelyi, Ferenc Erdei, Gabor Loerincz, Emoeke Andre, Luc Maingault, Laurent Jacolin, David Verger, L. d'Aillon, Eric Gros Major, Peter Papp, Zoltan Nemeth, Gabor Ecole Polytech Fed Lausanne Lausanne Switzerland Delft Univ Technol NL-2600 AA Delft Netherlands FBK Trento Italy Univ Edinburgh Edinburgh EH8 9YL Midlothian Scotland STMicroelectron R&D Ltd Edinburgh Midlothian Scotland Budapest Univ Technol & Econ BME Budapest Hungary CEA LETI Grenoble France Mediso Med Imaging Syst Ltd Budapest Hungary

ISBN: (纸本)9781628410778

The SPADnet FP7 European project is aimed at a new generation of fully digital, scalable and networked photonic components to enable large area image sensors, with primary target gamma-ray and coincidence detection in (Time-of-Flight) Positron Emission Tomography (PET). SPADnet relies on standard CMOS technology, therefore allowing for MRI compatibility. SPADnet innovates in several areas of PET systems, from optical coupling to single-photon sensor architectures, from intelligent ring networks to reconstruction algorithms. It is built around a natively digital, intelligent SPAD (Single-Photon Avalanche Diode)-based sensor device which comprises an array of 8x16 pixels, each composed of 4 mini-SiPMs with in situ time-to-digital conversion, a multi-ring network to filter, carry, and process data produced by the sensors at 2Gbps, and a 130nm CMOS process enabling mass-production of photonic modules that are optically interfaced to scintillator crystals. A few tens of sensor devices are tightly abutted on a single PCB to form a so-called sensor tile, thanks to TSV (Through Silicon Via) connections to their backside (replacing conventional wire bonding). The sensor tile is in turn interfaced to an FPGA-based PCB on its back. The resulting photonic module acts as an autonomous sensing and computing unit, individually detecting gamma photons as well as thermal and Compton events. It determines in real time basic information for each scintillation event, such as exact time of arrival, position and energy, and communicates it to its peers in the field of view. Coincidence detection does therefore occur directly in the ring itself, in a differed and distributed manner to ensure scalability. The selected true coincidence events are then collected by a snooper module, from which they are transferred to an external reconstruction computer using Gigabit Ethernet. We will detail the SPADnet core technologies as well as the latest project achievements in all project areas.

关键词： Digital PET Single-Photon Avalanche Diodes (SPADs) CMOS Networking TSV

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Parallel simulations of optical communication systems

Parallel simulations of optical communication systems

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International conference on Transparent Optical Networks

作者： Nikolay Karelin Gena Shkred Alexander Simonov Sergei Mingaleev Igor Koltchanov André Richter VPI Development Center Minsk Belarus VPI Development Center Chapaeva str. 5-111 220034 Minsk Belarus VPlphotonics GmbH Berlin Germany

ISBN: (纸本)9781479956029

Sophisticated numerical simulations represent an indispensable tool for developing new optical communication systems and solutions. With wider availability of parallel computing hardware (most notably, multi-core CPUs and GPUs) it becomes increasingly important to effectively parallelize simulation algorithms. In this paper, we review the main principles and common pitfalls of parallel simulations for optical systems and components. The addressed topics include signal propagation in fibers, fiber gratings, active and passive semiconductor components, parallel simulations of transmission systems and photonic integrated circuits represented by networks of modules, as well as general-purpose optimization tasks.

关键词： Computational modeling Optical fiber communication Integrated circuit modeling Central Processing Unit Multicore processing Optical fiber devices Optimization

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Full-vectorial FDTD method for the dispersion characterization of nonlinear PhC fibers

Full-vectorial FDTD method for the dispersion characterizati...

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conference on photonic Fiber and Crystal devices - Advances in Materials and Innovations in Device Applications VII

作者： Guryev, Igor Sukhoivanov, Igor Andrade Lucio, Jose Amparo Vargas Rodriguez, Everardo Claudio Gonzalez, David Mata Chavez, Ruth Ivonne Shulika, Oleksiy Univ Guanajuato Div Engn Guanajuato Mexico

ISBN: (纸本)9780819496973

In the work, we have presented the technique based on the FDTD method for the dispersion computation of a single-mode fiber with an arbitrary refractive index pro le. In contrast to other numerical methods the FDTD allows studying the beam propagation along the fiber taking into account material dispersion and the nonlinearity. Particularly, we have concentrated attention on the method details that allowed us to reduce dramatically the computation time and achieve the accuracy close to the one provided by the finite elements method

关键词： Finite-difference time-domain method Finite element methods Dispersion MATLAB Error analysis Matrices Genetic algorithms Numerical analysis Parallel computing Refractive index

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