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

共 76 条记录，以下是1-10 订阅

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Accelerating quantum technologies with programmable integrated photonics

Accelerating quantum technologies with programmable integrat...

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IEEE Silicon photonics conference (Siphotonics)

作者： Dong, Mark Mitre Corp 202 Burlington Rd Bedford MA 01730 USA MIT Res Lab Elect Cambridge MA 02139 USA

ISBN: (纸本)9781665486552

Programmable photonic integrated circuits (PICs) offer practical solutions to the scaling requirements of quantum technologies for quantum communications and distributed quantum computing. Here we present recent advances in piezoelectrically-actuated PICs demonstrating large-scale optical switching and linear-optic operations for the realization of quantum network systems.

关键词： quantum information photonic integrated circuits silicon photonics piezoelectric devices

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Monolithically integrated optical computing component for photonic matrix multiplication based on electro-optically modulated vertical-cavity surface-emitting lasers 11

Monolithically integrated optical computing component for ph...

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conference on Semiconductor Lasers and Laser Dynamics XI

作者： Ledentsov, N., Jr. Dijkstra, J. Makarov, Yu Shchukin, V. A. Chorchos, L. Kropp, J-R Pernice, W. H. P. Ledentsov, N. N. VI Syst GmbH Hardenbergstr 7 D-10623 Berlin Germany Heidelberg Univ Kirchhoff Inst Phys Grabengasse 1 D-69117 Heidelberg Germany

ISBN: (纸本)9781510673236;9781510673229

Leading-edge machine learning algorithms require large amounts of matrix multiplications, which absorb significant computational resources in modern digital electronic systems. Analogue optical computing systems consisting of light sources, modulators and receivers may perform these operations with much higher efficiency. We introduce an integrated device based on electro-optically modulated (EOM) vertical-cavity surface-emitting lasers (VCSELs) that can perform analog multiplication at >28 GHz and at <20 mW power consumption. Due to its monolithic integration, the EOM VCSEL may be used as a building block for integrated optical computing devices. Development of such devices can help create 3-dimensionally integrated computing and communication systems.

关键词： vertical cavity surface-emitting laser optical computing analogue computing photonic integrated circuits

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Spin-orbit photonic circuits for quantum simulations 4

Spin-orbit photonic circuits for quantum simulations

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conference on Quantum computing, Communication, and Simulation iv

作者： Di Colandrea, Francesco Babazadeh, Amin Dauphin, Alexandre Massignan, Pietro Marrucci, Lorenzo Cardano, Filippo Univ Napoli Federico II Complesso Univ Monte St Angelo Dipartimento Fis Ettore Pancini Via Cintia I-80126 Naples Italy Univ Ottawa Nexus Quantum Technol Ottawa ON K1N 5N6 Canada Univ Vienna Quantum Opt Quantum Nanophys & Quantum Informat Boltzmanngasse 5 A-1090 Vienna Austria Barcelona Inst Sci & Technol ICFO Inst Ciencies Foton Barcelona 08860 Spain Univ Politecn Cataluna Dept Fis Campus Nord B4-B5 Barcelona 08034 Spain

ISBN: (纸本)9781510670839;9781510670822

The observation of extreme dynamics within quantum simulators based on photonic circuits is typically precluded by optical losses, exponentially increasing with the system depth or, equivalently, with the number of optical components. This is a natural consequence of the standard approach to photonic simulations of quantum dynamics, where the complexity of the setup grows with the extension of the evolution in time. By focusing on simple protocols of discrete-time quantum walks, we show that it is possible to compress homogeneous evolutions within only three liquid-crystal metasurfaces, encompassing up to a few hundreds of time steps. By exploiting spin-orbit effects, these devices implement space-dependent polarization transformations that mix circularly polarized optical modes carrying quantized transverse momentum, mimicking the target quantum dynamics with high efficiency and accuracy. Being extremely versatile, our compact platform will pave the way to the simulations of extreme regimes of more exotic dynamics.

关键词： Quantum simulations Quantum walks Spin-orbit photonics Structured light

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Physical Aware Clustering Training Method for Integrated photonic Convolution Neural Network with Nonlinear Distributed Weights

Physical Aware Clustering Training Method for Integrated Pho...

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Asia Communications and photonics conference (ACP) / International conference on Information photonics and Optical Communications (IPOC)

作者： Jiang, Yue Zhang, Wenjia Liu, Xuying Zhu, Wenyu He, Zuyuan Shanghai Jiao Tong Univ State Key Lab Adv Opt Commun Syst & Networks Shanghai 200240 Peoples R China

ISBN: (纸本)9781665481557

The computing power of the photonic Convolution Neural Network (CNN) have achieved Tera-level operations per second (OPS) for supporting machine vision algorithms. However, restrained by the nonlinear characteristics of weighting devices, it is hard to realize convergent training of photonic CNN under poor controlling precision. In this paper we proposed a Physical Aware Clustering training method where the Physical Aware Cluster Quantizer is embed with the straight through estimator (STE) algorithm for integrated photonic CNN with quantized and nonlinear distributed weights. Experiment shows that, by employing the upgraded STE methods (namely, STE plus), the photonic CNN using micro ring weighting bank and PAM4 controlling modules achieves the nearly 99.3% accuracy ratio for Fashion MNIST recognition task, whereas only 41.5% of that by using baseline STE training algorithms with the same physical devices.

关键词： component photonic integrated devices Optical computing photonic convolution neural network

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Evaluation of the Clustering Method Used to Analyze the Proximity of Mobile devices Using Indirect Geolocation Indicators 22nd

Evaluation of the Clustering Method Used to Analyze the Prox...

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22nd International conference on Advances in Mobile computing and Multimedia Intelligence, MoMM 2024

作者： Kobiela, Jaroslaw Urbaniec, Piotr Institute of Computer Science University of Opole Opole Poland

ISBN: (纸本)9783031780486

This study introduces a new methodology for clustering mobile devices to determine their geographical proximity without using direct geolocation data. Using the DBSCAN algorithm, we aim to identify significant spatial patterns while preserving user privacy. The dataset used includes information on device manufacturers and network interactions. Clustering was performed after data preprocessing, with DBSCAN effectively grouping devices in proximity. Our results show that this method successfully identifies clusters that reflect meaningful geographical relationships among the devices. The evaluation included calculating the average and maximum distances within the clusters, demonstrating the robustness of the method. Despite its effectiveness, the success of the method depends on the quality and completeness of the input data. Future research should explore additional data sources and refine used algorithms to enhance accuracy and efficiency. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Clustering algorithms Geographical Proximity Mobile devices

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Entanglement-enhanced Quantum Reinforcement Learning: an Application using Single-Photons 5

Entanglement-enhanced Quantum Reinforcement Learning: an App...

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2024 International conference on Quantum computing and Engineering

作者： Gaspar, Joaquim M. Bergerault, Alexandre Apostolou, Vassilis Ricou, Arno Quandela F-91300 Massy France Inst Polytech Paris ENSTA Paris F-91120 Palaiseau France

ISBN: (纸本)9798331541378

Quantum Reinforcement Learning (QRL) is an emerging field with many novel approaches suitable for noisy intermediate-scale quantum (NISQ) devices being proposed recently. Projective Simulation (PS) is a classical machine learning method based on random walks in a Directed Acyclic Graph (DAG), and is mainly used to train agents in a Reinforcement Learning setup. This graph corresponds to the Episodic Compositional Memory (ECM) of the agent. For the quantum version of PS we use quantum walks of single photons in quantum optical circuits, which go through tunable components (beamsplitters and phase shifters). We call this specific model Quantum Optical Projective Simulation (QOPS). In this work, we propose a general framework to translate any 2-layer ECM to a quantum optical circuit and an algorithm for solving quantum strategic games using QOPS. Moreover, we introduce QOPS with an entangled state as input. The application that we are using to evaluate the performance of the framework is the Prisoner's Dilemma. We executed the implementation using Altair's noisy simulator, designed to emulate a single photon-based quantum processor by Quandela. The algorithm provided promising results even in the presence of noise, which makes it a strong candidate for runs on single-photon -based quantum processors.

关键词： quantum reinforcement learning quantum machine learning variational quantum algorithms photonic quantum computing projective simulation quantum games

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Design of Ultra-Wideband Terahertz Wavelength Division Multiplexer Based on Inverse Design Algorithm

Design of Ultra-Wideband Terahertz Wavelength Division Multi...

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2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022

作者： Xiao, Zhicheng Song, Kaihong Fang, Ming The Information Materials and Intelligent Sensing Laboratory of Anhui Province Anhui University Anhui Hefei230039 China Anhui Province Key Laboratory of Target Recognition and Feature Extraction Anhui Luan237000 China The Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei230039 China State Key Laboratory of Millimeter Waves Southeast University Nanjing214135 China

ISBN: (纸本)9781665452366

Integrated photonic gadgets play a key function in lots of fields. The process of designing silicon optical devices mostly relies on experience to manually adjust the subtle parameters, which is laborious and ineffective. The proposed inverse design algorithms can simplify the design process of silicon optical devices, improve the design efficiency, and realize multifunctional compact devices. In this paper, two inverse design based methods are proposed to design terahertz band wavelength division multiplexer(WDM). One is based on topology optimization to design a 4-channel ultra-wideband WDM and the other employs a direct binary search technique to create a 3-channel ultra-wideband terahertz WDM, both of which have high transmission, low interference and high integration. Multifunctional photonics devices are predicted to be increasingly used in modern photonic integrated circuits due to these advantages. © 2022 IEEE.

关键词： Optical devices

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Testbed and Experiments for Quantum-Conventional Networking

Testbed and Experiments for Quantum-Conventional Networking

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Quantum Communications, Networking, and computing (QCNC), International conference on

作者： Nageswara S. V. Rao Muneer Alshowkan Joseph C. Chapman Hsuan-Hao Lu Nicholas A. Peters Joseph M. Lukens Guoliang Xue Saikat Guha Emily Van Milligen Don Towsley Gayane Vardoyan Leonardo Bacciottini Linran Fan Oak Ridge National Laboratory Oak Ridge USA Purdue University West Lafayette IN USA Arizona State University Tempe AZ USA University of Maryland College Park MD USA University of Massachusetts Amherst MA USA University of Texas Austin TX USA

ISBN: (数字)9798331531591

ISBN: (纸本)9798331531607

The realization of quantum networks requires the development of devices and methods unprecedented in conventional networks, and yet they critically depend on the latter for implementing foundational blocks and essential operations. We describe a testbed to support the development and testing of their functionality and performance by providing quantum and conventional data planes and devices, together with a secure conventional control plane. It incorporates a variety of entangled photon sources, qubit technologies, detector technologies, photonic components, and supporting conventional switches and workstations. It implements a novel fiber telescoping scheme that provides suites of connections using fiber spools and inground-aerial fiber loops. We briefly summarize a variety of experiments conducted over this testbed including: (i) flex-grid quantum connection experiments, (ii) quantum state and channel tomography, (iii) utilization of quantum key distribution keys to secure conventional encryption and firewall devices, (iv) comparative study of analytical capacity estimates and entanglement throughput, (v) deployed squeezing coexisting with conventional communications, and (iv) measurement of polarization time variation.

关键词： Optical fiber polarization Performance evaluation Quantum entanglement Optical fiber networks Tomography Optical fiber devices Workstations Synchronization Optical fiber testing photonics

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Machine Learning-Driven Analysis and Optimization of Optical Ring Resonator for Integrated photonic Applications

Machine Learning-Driven Analysis and Optimization of Optical...

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Smart Systems for applications in Electrical Sciences (ICSSES), International conference on

作者： Chandrika T N Nischal S Ruqaiah Sadiya SanjayKumar B S Nithyashree M Department of ETE Siddaganga Institute of Technology Tumkur India

ISBN: (数字)9798331507671

ISBN: (纸本)9798331507688

Ring resonators are pivotal components in photonics, enabling light manipulation for applications in telecommunications, optical sensing, and quantum computing. Integrating machine learning with photonic design opens new avenues for enhancing the performance and efficiency of these devices. In this study, we leverage the Lumerical software to create a comprehensive database of ring resonator designs and their performance metrics. Utilizing the $\mathbf{k}$ -Nearest Neighbors (KNN) regression algorithm, we develop a predictive model to optimize resonator parameters for specific applications. This approach allows for rapid exploration of the design space, uncovering innovative resonator configurations and improving sensitivity and efficiency. The proposed method demonstrates the potential of machine learning to accelerate photonic device development, offering a systematic, data-driven strategy for advancing ring resonator technology. Obtained accuracy of 82.8

关键词： Adaptation models Accuracy Computational modeling Refractive index Machine learning Nearest neighbor methods Predictive models Prediction algorithms Optical ring resonators photonics

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Cyber-Immunity at the Core: Securing Biomedical devices through Hardware-Level Machine Learning Defense

Cyber-Immunity at the Core: Securing Biomedical Devices thro...

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2023 IEEE Biomedical Circuits and Systems conference, BioCAS 2023

作者： Sayadi, Hossein He, Zhangying Fernandes, Chelsea William Miari, Tahereh California State University Department of Computer Engineering and Computer Science Long BeachCA United States Claremont Graduate University Center for Information Systems and Technology CA United States

ISBN: (纸本)9798350300260

Healthcare cybersecurity is crucial for protecting hospitals' networks and computing systems from malicious cyber-attacks. With the increasing motivation and capability of cyber attackers, it is necessary to secure the software and hardware infrastructure of biomedical computing systems used in healthcare. Due to the increasingly digitized nature of modern biomedical devices used in healthcare systems, effective cybersecurity solutions have become more essential. Traditional security protocols focused on software-level protection, with the underlying hardware assumed to be secure. However, recent studies have revealed vulnerabilities in hardware that attackers can exploit to compromise computing systems. To address this, in this paper a bottom-up approach is proposed, delegating security to the underlying hardware to enhance the security and cost-efficiency with less visibility to the attacker. This paper aims to develop effective intelligent countermeasures for hardware-assisted cyber-security at run-time in biomedical devices. It leverages processors' performance events via Hardware Performance Counters (HPCs) combined with Machine Learning (ML) techniques to fortify biomedical devices at the hardware level. To achieve this objective, we introduce a tailored and cost-effective hardware monitoring framework, complemented by a machine learning-enabled methodology. This approach enhances the accuracy and efficiency of malware detection and identification using real-time data from biomedical processors' hardware events. The experimental results demonstrate that the XGBoost model, using 4 hardware events, excels in malware detection, boasting 95% detection rate (F-measure and Accuracy), efficient resource utilization, and low inference latency. Additionally, the ExtraTree classifier achieves 87% F-measure and exhibits swift performance in classifying malware types in real-time. © 2023 IEEE.

关键词： Biomedical Cybersecurity Hardware Security Machine Learning Malware Detection and Identification

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