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Nonlinear feedforward enabling quantum computation

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arXiv 2022年

作者： Sakaguchi, Atsushi Konno, Shunya Hanamura, Fumiya Asavanant, Warit Takase, Kan Ogawa, Hisashi Marek, Petr Filip, Radim Yoshikawa, Jun-Ichi Huntington, Elanor Yonezawa, Hidehiro Furusawa, Akira Department of Applied Physics School of Engineering The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-8656 Japan Optical Quantum Computing Research Team RIKEN Center for Quantum Computing 2-1 Hirosawa Saitama Wako351-0198 Japan Department of Optics Palacký University 17. listopadu 1192/12 Olomouc77146 Czech Republic Centre for Quantum Computation and Communication Technology and Energy and Materials Engineering College of Engineering and Computer Science Australian National University CanberraACT2600 Australia Centre for Quantum Computation and Communication Technology School of Engineering and Information Technology University of New South Wales CanberraACT2600 Australia

Measurement-based quantum computation with optical time-domain multiplexing is a promising method to realize a quantum computer from the viewpoint of scalability. Fault tolerance and universality are also realizable by preparing appropriate resource quantum states and electro-optical feedforward that is altered based on measurement results. While a linear feedforward has been realized and become a common experimental technique, nonlinear feedforward was unrealized until now. In this paper, we demonstrate that a fast and flexible nonlinear feedforward realizes the essential measurement required for fault-tolerant and universal quantum computation. Using non-Gaussian ancillary states we observed 10% reduction of the measurement excess noise relative to classical vacuum ancilla. © 2022, CC BY.

关键词： Fault tolerance

Detecting blurred ground-based sky/cloud images

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arXiv 2021年

作者： Jain, Mayank Jain, Navya Lee, Yee Hui Winkler, Stefan Dev, Soumyabrata The ADAPT SFI Research Centre Dublin Ireland School of Computer Science University College Dublin Ireland Ram Lal Anand College University of Delhi India School of Electrical and Electronic Engineering Nanyang Technological University Singapore School of Computing National University of Singapore

Ground-based whole sky imagers (WSIs) are being used by researchers in various fields to study the atmospheric events. These ground-based sky cameras capture visible-light images of the sky at regular intervals of time. Owing to the atmospheric interference and camera sensor noise, the captured images often exhibit noise and blur. This may pose a problem in subsequent image processing stages. Therefore, it is important to accurately identify the blurred images. This is a difficult task, as clouds have varying shapes, textures, and soft edges whereas the sky acts as a homogeneous and uniform background. In this paper, we propose an efficient framework that can identify the blurred sky/cloud images. Using a static external marker, our proposed methodology has a detection accuracy of 94%. To the best of our knowledge, our approach is the first of its kind in the automatic identification of blurred images for ground-based sky/cloud images. Copyright © 2021, The Authors. All rights reserved.

关键词： Textures

Under-determined Blind Speech Separation via the Convolutive Transfer Function and lp Regularization

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Under-determined Blind Speech Separation via the Convolutive...

International Conference on Mobile Ad-hoc and Sensor Networks, MSN

作者： Liu Yang Junjie Yang Yi Guo School of Computer Science and Cyber Engineering Guangzhou University Guangzhou China School of Automation Guangdong University of Technology Key Laboratory of Intelligent Information Processing and System Integration of IoT (GDUT) Guangzhou China Centre for Research in Mathematics School of Computing Engineering and Mathematics Western Sydney University Parramatta Australia

ISBN: (纸本)9781665406697

Convolutive blind speech separation (CBSS) attempts to recover speech sources from recorded mixtures transmitted by room impulse response filters (RIRs). The existing BSS methods are mainly based on a multiplicative narrowband approximation (MNA) model in the short-time Fourier transform (STFT) domain. However, the MNA model may result in serious system transformation error under the situation of a strongly reverberant environment due to its sensitivity to RIRs with large lengths. Moreover, the solution of source reconstruction is not unique when the system is underdetermined even if the RIRs are given in advance. To tackle these problems, a convolutive narrowband approximation (CNA) model is explored in the proposed approach to constrain the system transformation error. Then an $l p(0\lt p\leq 1)$ regularization is provided to reconstruct the sparse sources in which p can be dynamically selected to achieve the best performance. The experimental results demonstrate the robustness of the proposed method to room reverberation under various speech separation cases in comparison to conventional methods.

关键词： Sensitivity Fourier transforms Transfer functions Reconstruction algorithms Robustness Sensors Reverberation

Towards 6G wireless communication networks:vision, enabling technologies, and new paradigm shifts

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science China(Information sciences) 2021年第1期64卷 5-78页

作者： Xiaohu YOU Cheng-Xiang WANG Jie HUANG Xiqi GAO Zaichen ZHANG Mao WANG Yongming HUANG Chuan ZHANG Yanxiang JIANG Jiaheng WANG Min ZHU Bin SHENG Dongming WANG Zhiwen PAN Pengcheng ZHU Yang YANG Zening LIU Ping ZHANG Xiaofeng TAO Shaoqian LI Zhi CHEN Xinying MA Chih-Lin I Shuangfeng HAN Ke LI Chengkang PAN Zhimin ZHENG Lajos HANZO Xuemin (Sherman) SHEN Yingjie Jay GUO Zhiguo DING Harald HAAS Wen TONG Peiying ZHU Ganghua YANG Jun WANG Erik G.LARSSON Hien Quoc NGO Wei HONG Haiming WANG Debin HOU Jixin CHEN Zhe CHEN Zhangcheng HAO Geoffrey Ye LI Rahim TAFAZOLLI Yue GAO H.Vincent POOR Gerhard P.FETTWEIS Ying-Chang LIANG National Mobile Communications Research Laboratory School of Information Science and EngineeringSoutheast University Purple Mountain Laboratories Shanghai Institute of Fog Computing Technology (SHIFT) ShanghaiTech University Research Center for Network Communication Peng Cheng Laboratory State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications National Engineering Laboratory for Mobile Network Technologies Beijing University of Posts and Telecommunications National Key Laboratory of Science and Technology on Communications University of Electronic Science and Technology of China (UESTC) China Mobile Research Institute School of Electronics and Computer Science University of Southampton Department of Electrical and Computer Engineering University of Waterloo Global Big Data Technologies Centre (GBDTC) University of Technology Sydney School of Electrical and Electronic Engineering The University of Manchester LiFi Research and Development Centre Institute for Digital CommunicationsSchool of EngineeringThe University of Edinburgh Huawei Technologies Canada Co. Ltd. Huawei Technologies Department of Electrical Engineering (ISY) Link?ping University Institute of Electronics Communications & Information Technology (ECIT)Queen's University Belfast State Key Laboratory of Millimeter Waves School of Information Science and EngineeringSoutheast University School of Electrical and Computer Engineering Georgia Institute of Technology 5G Innovation Centre University of Surrey Princeton University Vodafone Chair Mobile Communications Systems Technische Universit?t Dresden Center for Intelligent Networking and Communications (CINC) University of Electronic Science and Technology of China (UESTC)

The fifth generation(5G) wireless communication networks are being deployed worldwide from 2020 and more capabilities are in the process of being standardized, such as mass connectivity, ultra-reliability,and guaranteed low latency. However, 5G will not meet all requirements of the future in 2030 and beyond, and sixth generation(6G) wireless communication networks are expected to provide global coverage, enhanced spectral/energy/cost efficiency, better intelligence level and security, etc. To meet these requirements, 6G networks will rely on new enabling technologies, i.e., air interface and transmission technologies and novel network architecture, such as waveform design, multiple access, channel coding schemes, multi-antenna technologies, network slicing, cell-free architecture, and cloud/fog/edge computing. Our vision on 6G is that it will have four new paradigm shifts. First, to satisfy the requirement of global coverage, 6G will not be limited to terrestrial communication networks, which will need to be complemented with non-terrestrial networks such as satellite and unmanned aerial vehicle(UAV) communication networks, thus achieving a space-airground-sea integrated communication network. Second, all spectra will be fully explored to further increase data rates and connection density, including the sub-6GHz, millimeter wave(mmWave), terahertz(THz),and optical frequency bands. Third, facing the big datasets generated by the use of extremely heterogeneous networks, diverse communication scenarios, large numbers of antennas, wide bandwidths, and new service requirements, 6G networks will enable a new range of smart applications with the aid of artificial intelligence(AI) and big data technologies. Fourth, network security will have to be strengthened when developing 6G networks. This article provides a comprehensive survey of recent advances and future trends in these four aspects. Clearly, 6G with additional technical requirements beyond those of 5G will enable f

关键词： 6G vision network architecture air interface and transmission technologies space-air-ground-sea integrated network all spectra artificial intelligence network security

Wavelength assignment in optical fiber with intelligent optimization and assignment scheme for static and dynamic traffic intensity based Photonic networks

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Optical and Quantum Electronics 2022年第8期54卷 526-526页

作者： Kumar, B. Muthu Guduru, Rama Krishna Reddy Srinivas, Azmeera Ana, Farkhanda Ramudu, Kama Dhiman, Gaurav School of Computing and Information Technology REVA University Bengaluru India Institute of Mechatronics Kaunas University of Technology Kaunas 44249 Lithuania Electronics and Communication Engineering Kakatiya Institute of Technology and Science Telangana Warangal 506015 India Department of Electronics and Communication Engineering Baba Ghulam Shah Badshah University J&K Rajouri India Department of Computer Science and Engineering University Centre for Research and Development Chandigarh University Mohali Gharuan India Department of Computer Science and Engineering Graphic Era Deemed to be University Dehradun India

Photonic Integrated Circuits (PIC) make it possible to meet expanding demand for internet communication systems, which is growing at a pace of roughly 40% each year. The increase in video traffic on internet network is primarily responsible for this growth. This research propose novel technique in wavelength allocation with optimization of optical fibre and traffic intensity optimization for photonic networks in both static and dynamic schemes. Here the wavelength has been allocated using optical doped amplifier with wavelength differential evolution based optimization algorithm (Damp_WaDiff_EvolOpt). The traffic intensity has been optimized in static and dynamic photonic network using optical bandwidth based routing spectrum allocation (Opt_Band_RSA). For test optical networks with up to 40 nodes, proposed technique is assessed. Experiments indicate that the Damp_WaDiff_EvolOpt_ Opt_Band RSA method produces results that are equal to lower bound of the network wavelength requirement (NWR) for networks with and without wavelength conversion capability, while reducing average path length (APL). From fitness of objective function of Damp_WaDiff_EvolOpt_Opt_Band_RSA, best routing path as well as availability of wavelength for a node is analysed at every time instant. Proposed technique obtained BP of 89%, throughput of 98%, time delay of 25%, and QoS of 97%, NWR of 62% and APL of 70%. © 2022, The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature.

关键词： Optical bandwidth Optical fibre Optimization Photonic integrated circuits Spectrum allocation Wavelength allocation

An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion

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arXiv 2024年

作者： Ali, Sharib Espinel, Yamid Jin, Yueming Liu, Peng Güttner, Bianca Zhang, Xukun Zhang, Lihua Dowrick, Tom Clarkson, Matthew J. Xiao, Shiting Wu, Yifan Yang, Yijun Zhu, Lei Sun, Dai Li, Lan Pfeiffer, Micha Farid, Shahid Maier-Hein, Lena Buc, Emmanuel Bartoli, Adrien School of Computing Faculty of Engineering and Physical Sciences University of Leeds LeedsLS2 9JT United Kingdom Centre Hospitalier Universitaire de Clermont-Ferrand Clermont-Ferrand France Endoscopy and Computer Vision Group Université Clermont Auvergne Clermont-Ferrand France Department of HPB and Transplant Surgery St. James’s University Hospital Leeds United Kingdom 119276 Singapore Heidelberg Germany Fetscherstraße 74 Dresden01307 Germany Academy for Engineering and Technology Fudan University Shanghai China Wellcome EPSRC Centre for Interventional and Surgical Sciences UCL London United Kingdom Department of Computer and Information Science University of Pennsylvania PhiladelphiaPA 19104 United States Department of Bioengineering University of Pennsylvania PhiladelphiaPA 19104 United States Guangzhou511455 China University of Science and Technology of China Suzhou China

Augmented reality for laparoscopic liver resection is a visualisation mode that allows a surgeon to localise tumours and vessels embedded within the liver by projecting them on top of a laparoscopic image. During this process, preoperative 3D models extracted from CT or MRI data are registered to the intraoperative laparoscopic images. In terms of 3D-2D fusion, most of the algorithms make use of anatomical landmarks to guide registration. These landmarks include the liver’s inferior ridge, the falciform ligament, and the occluding contours. They are usually marked by hand in both the laparoscopic image and the 3D model, which is time consuming and may contain errors if done by a non-experienced user. Therefore, there is a need to automate this process so that augmented reality can be used effectively in the operating room. We present the Preoperative-to-Intraoperative Laparoscopic Fusion challenge (P2ILF), held during the Medical Imaging and computer Assisted Interventions (MICCAI 2022) conference, which investigates the possibilities of detecting these landmarks automatically and using them in registration. The challenge was divided into two tasks: 1) A 2D and 3D landmark detection task, and 2) a 3D-2D registration task. The teams were provided with a set of training data consisting of 167 laparoscopic images and 9 preoperative 3D models from 9 patients, with the corresponding 2D and 3D landmark annotations. A total of 6 teams from 4 countries participated in the challenge, whose results were assessed for each task independently. All the teams proposed deep learning-based methods for the 2D and 3D landmark segmentation tasks, and differentiable rendering-based methods for the registration task. The proposed methods were evaluated on a test set of 16 images and two preoperative 3D models from two patients. Based on the experimental outcomes, we propose three key hypotheses that determine current limitations and future directions for research in this domain. © 2024,

关键词： Augmented reality

An Optimisation Model for Designing Social Distancing Enhanced Physical Spaces

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An Optimisation Model for Designing Social Distancing Enhanc...

2020 International Conference on Internet of Things and Intelligent Applications, ITIA 2020

作者： Ugail, Hassan Aggarwal, Riya Iglesias, Andres Suarez, Patricia Maqsood, Muazzam Aadil, Farhan Campuzano, Almudena Gleghorn, Sarah Mehmood, Irfan Taif, Khasrouf University of Bradford Centre for Visual Computing United Kingdom University of Newcastle Australia School of Engineering Australia University of Cantabria Applied Mathematics and Computational Sciences Spain Comsats University Islamabad Department of Computer Science Pakistan University of Amsterdam Netherlands Skipton Girls' High School United Kingdom

ISBN: (纸本)9781728193014

In the wake of the COVID-19 pandemic, social distancing has become an essential element of our daily lives. As a result, the development of technological solutions for the design and re-design of physical spaces with the necessary physical distancing measures is an important problem that must be addressed. In this paper, we show how automatic design optimisation can be used to simulate the layout of physical spaces subject to a given social distancing requirement. We use a well known mathematical technique based on the circle packing to address this challenge. Thus, given the dimensions and the necessary constraints on the physical space, we formulate the design as a solution to a constrained nonlinear optimisation problem. We then solve the optimisation problem to arrive at a number of feasible design solutions from which the user can pick the most desirable option. By way of examples, in this paper, we show how the proposed model can be practically applied. © 2020 IEEE.

关键词： COVID-19

Partial coherence versus entanglement

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arXiv 2023年

作者： Kim, Sunho Xiong, Chunhe Luo, Shunlong Kumar, Asutosh Wu, Junde School of Mathematical Sciences Harbin Engineering University Harbin150001 China School of Computer and Computing Science Hangzhou City University Hangzhou310015 China Interdisciplinary Center for Quantum Information Department of Physics Zhejiang University Hangzhou310027 China Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China School of Mathematical Sciences University of Chinese Academy of Sciences Beijing100049 China P. G. Department of Physics Gaya College Magadh University Gaya Rampur823001 India Vaidic and Modern Physics Research Centre Bhagal Bhim Bhinmal Jalore343029 India School of Mathematical Sciences Zhejiang University Hangzhou310027 China

We study partial coherence and its connections with entanglement. First, we provide a sufficient and necessary condition for bipartite pure state transformation under partial incoherent operations: A bipartite pure state can be transformed to another one if and only if a majorization relationship holds between their partial coherence vectors. As a consequence, we introduce the concept of maximal partial coherent states in the sense that they can be used to construct any bipartite state of the same system via partial incoherent operations. Second, we provide a strategy to construct measures of partial coherence by use of symmetric concave functions. Third, we establish some relationships between partial coherence and entanglement. We show that the minimal partial coherence under local unitary operations is a measure of entanglement for bipartite pure states, which can be extended to all mixed states by convex-roof. We also show that partial coherence measures are induced through maximal entanglement under partial incoherent operations for bipartite pure states. There is a one-to-one correspondence between entanglement and partial coherence measures. © 2023, CC BY-NC-ND.

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Deciphering boundary layer dynamics in high-Rayleigh-number convection using 3360 GPUs and a high-scaling in-situ workflow

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arXiv 2025年

作者： Bode, Mathis Alvarez, Damian Fischer, Paul Frouzakis, Christos E. Göbbert, Jens Henrik Insley, Joseph A. Lan, Yu-Hsiang Mateevitsi, Victor A. Min, Misun Papka, Michael E. Rizzi, Silvio Samuel, Roshan J. Schumacher, Jörg Jülich Supercomputing Centre Forschungszentrum Jülich GmbH Jülich52425 Germany Siebel School of Computing and Data Science University of Illinois at Urbana-Champaign 201 N Goodwin Ave UrbanaIL61801 United States Mathematics and Computer Science Division Argonne National Laboratory 9700 S Cass Ave LemontIL60439 United States CAPS Laboratory Department of Mechanical and Process Engineering ETH Zürich Zürich8092 Switzerland Argonne Leadership Computing Facility Argonne National Laboratory 9700 S Cass Ave LemontIL60439 United States Electronic Visualization Laboratory University of Illinois Chicago 1200 W Harrison St ChicagoIL60607 United States Institute of Thermodynamics and Fluid Mechanics Technische Universität Ilmenau P.O. Box 100565 Ilmenau98684 Germany Tandon School of Engineering New York University New York CityNY11201 United States

Turbulent heat and momentum transfer processes due to thermal convection cover many scales and are of great importance for several natural and technical flows. One consequence is that a fully resolved three-dimensional analysis of these turbulent transfers at high Rayleigh numbers, which includes the boundary layers, is possible only using supercomputers. The visualization of these dynamics poses an additional hurdle since the thermal and viscous boundary layers in thermal convection fluctuate strongly. In order to track these fluctuations continuously, data must be tapped at high frequency for visualization, which is difficult to achieve using conventional methods. This paper makes two main contributions in this context. First, it discusses the simulations of turbulent Rayleigh-Bénard convection up to Rayleigh numbers of Ra = 1012 computed with NekRS on GPUs. The largest simulation was run on 840 nodes with 3360 GPU on the JUWELS Booster supercomputer. Secondly, an in-situ workflow using ASCENT is presented, which was successfully used to visualize the high-frequency turbulent fluctuations. © 2025, CC BY.

关键词： Rayleigh number