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Solving the Hele-Shaw flow using the Harrow-Hassidim-Lloyd algorithm on superconducting devices: A study of efficiency and challenges

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PHYSICS OF FLUIDS 2024年第10期36卷

作者： Meena, Muralikrishnan Gopalakrishnan Gottiparthi, Kalyana C. Lietz, Justin G. Georgiadou, Antigoni Coello Perez, Eduardo Antonio Coello Oak Ridge Natl Lab Natl Ctr Computat Sci Oak Ridge TN 37831 USA NVIDIA Quantum Architecture & Algorithm Santa Clara CA 95051 USA

The development of quantum processors for practical fluid flow problems is a promising yet distant goal. Recent advances in quantum linear solvers have highlighted their potential for classical fluid dynamics. In this study, we evaluate the Harrow-Hassidim-Lloyd (HHL) quantum linear systems algorithm (QLSA) for solving the idealized Hele-Shaw flow. Our focus is on the accuracy and computational cost of the HHL solver, which we find to be sensitive to the condition number, scaling exponentially with problem size. This emphasizes the need for preconditioning to enhance the practical use of QLSAs in fluid flow applications. Moreover, we perform shots-based simulations on quantum simulators and test the HHL solver on superconducting quantum devices, where noise, large circuit depths, and gate errors limit performance. Error suppression and mitigation techniques improve accuracy, suggesting that such fluid flow problems can benchmark noise mitigation efforts. Our findings provide a foundation for future, more complex application of QLSAs in fluid flow simulations. Published under an exclusive license by AIP Publishing.

关键词： Superconducting devices

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Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks

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IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS 2024年第1期43卷 366-379页

作者： Han, Husheng Hu, Xing Hao, Yifan Xu, Kaidi Dang, Pucheng Wang, Ying Zhao, Yongwei Du, Zidong Guo, Qi Wang, Yanzhi Zhang, Xishan Chen, Tianshi Chinese Acad Sci Inst Comp Technol State Key Lab Processors Beijing 100190 Peoples R China Univ Chinese Acad Sci Sch Comp Sci Beijing 100049 Peoples R China Cambricon Technol Dept Architecture Algorithm Beijing 100191 Peoples R China Chinese Acad Sci Shanghai Innovat Ctr Processor Technol Beijing 100190 Peoples R China Drexel Univ Coll Comp & Informat Dept Comp Sci Philadelphia PA 19104 USA Northeastern Univ Dept Elect & Comp Engn Boston MA 02115 USA Cambricon Technol Dept Architecture Algorithm Beijing 100191 Peoples R China Cambricon Technol Beijing 100191 Peoples R China

DNN-based video object detection (VOD) powers autonomous driving and video surveillance industries with rising importance and promising opportunities. However, adversarial patch attack yields huge concern in live vision tasks because of its practicality, feasibility, and powerful attack effectiveness. This work proposes Themis, a software/hardware system to defend against adversarial patches for real-time robust VOD. We observe that adversarial patches exhibit extremely localized superficial feature importance in a small region with nonrobust predictions, and thus propose the adversarial region detection algorithm for adversarial effect elimination. Themis also proposes a systematic design to efficiently support the algorithm by eliminating redundant computations and memory traffics. Experimental results show that the proposed methodology can effectively recover the system from the adversarial attack with negligible hardware overhead.

关键词： Object detection Streaming media Optical flow Feature extraction Real-time systems Task analysis Detectors Adversarial patch attack deep learning security domain-specific accelerator hardware/software co-design real time

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Spectral irradiance simulation for evaluating light environments for indoor plants

Journal of Environmental Engineering (Japan)

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Journal of Environmental Engineering (Japan) 2021年第781期86卷 337-346页

作者： Sugano, Soma Nitta, Ryo Shindo, Kan Nomoto, Akihisa Yoda, Shu Shigemura, Tamaho Ishii, Masahisa Tanabe, Shin-Ichi Dept. of Architecture Waseda Univ. Japan Algorithm Design Lab. Inc. Japan Institute for Rural Engineering NARO Japan

Recently, the interest in biophilic design and indoor greenery has been increasing. However, the growth of indoor plants may become stunted owing to unfavorable light conditions. Therefore, a method for evaluating the light environments required for indoor plants to thrive is needed. In this study, we verify the accuracy of a spectral irradiance simulation for the evaluation of light environmental conditions for indoor greenery. Additionally, the photosynthetic photon flux density, which is strongly correlated to photosynthesis, is calculated. The growth of indoor plants is evaluated by applying knowledge gained in the field of plant physiology. © 2021 Architectural Institute of Japan. All rights reserved.

关键词： Photons

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Disassembly sequence planning of equipment decommissioning for industry 5.0: Prospects and Retrospects

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ADVANCED ENGINEERING INFORMATICS 2024年 62卷

作者： He, Longlong Gao, Jiani Leng, Jiewu Wu, Yue Ding, Kai Ma, Lin Liu, Jie Pham, Duc Truong Xian Univ Sci & Technol Shaanxi Key Lab Mine Electromech Equipment Intelli Xian 710061 Peoples R China Guangdong Univ Technol State Key Lab Precis Elect Mfg Technol & Equipment Guangzhou 510006 Peoples R China Changan Univ Inst Smart Mfg Syst Xian 710061 Peoples R China Hong Kong Polytech Univ Dept Ind & Syst Engn Hong Kong Peoples R China Univ Calif Parallel Architecture Syst & Algorithm Lab Merced CA 95343 USA Univ Birmingham Dept Mech Engn Birmingham England

With the advent of Industry 5.0, the complexity and variety involved in disassembling decommissioned equipment have increased significantly, underscoring the growing importance of disassembly sequence planning (DSP) for resource recovery and reuse. Industry 5.0 emphasizes human-centricity, resilience, and sustainable development, raising new challenges and higher standards for DSP technologies and methods. While previous studies have highlighted the need to study DSP in the context of Industry 5.0, focusing on leveraging technological advancements to optimize the disassembly process, our work takes a different approach. We emphasize the integration of intelligent systems and human-machine collaboration to provide comprehensive solutions, from constructing information models to optimizing sequence algorithms, while also exploring emerging research directions to address the demands of this new era. In order to address the evolving challenges presented by Industry 5.0, this study seeks to reevaluate the pivotal role of DSP in the domain of retired equipment. It also intends to conduct a thorough investigation of DSP from the perspectives of humanism, resilience, and sustainability. By assessing the applicability of existing DSP approaches in the Industry 5.0 landscape, there is a specific focus on the integration of big data analytics and intelligent algorithms to enhance disassembly efficiency, optimize resource allocation, and achieve environmentally sustainable development goals. The research reveals certain limitations in the current state of DSP, namely in terms of intelligence, flexibility, and sustainability. For Industry 5.0, DSP should holistically consider human factors, robustness, and sustainability. Adopting these approaches enhances disassembly efficiency, optimizes resource utilization, mitigates environmental impact, and promotes the achievement of sustainable development goals.

关键词： Decommissioning equipment Disassembly sequence planning Process planning Industry 5.0

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Low-Complexity Reconfigurable and Intelligent Ultrawideband Angular Sensing

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IEEE SYSTEMS JOURNAL 2020年第4期14卷 4931-4942页

作者： Joshi, Himani Darak, Sumit J. Kumar, Achanna Anil Indraprastha Inst Informat Technol Delhi Algorithm Architecture Lab Delhi 110020 India Tata Consultancy Serv TCS Innovat Lab Bengaluru 560012 India

Paradigms such as multiantenna transceivers, spectrum sharing, and beamforming are critical to meet the desired throughput, reliability, latency, spectrum, and energy efficiency constraints in next-generation wireless networks. To enable these paradigms, base stations are undergoing major overhaul with complex digital signal processing, reconfigurable multistage architectures, as well as wideband sensing capability. In this article, we focus on the low-complexity multiantenna BS receiver to accomplish ultrawideband angular sensing. The proposed receiver is based on novel reconfigurable and intelligent sub-Nyquist sampling architecture. Here, reconfigurability allows the receiver to select and digitize noncontiguous frequency bands, while online learning-based intelligence allows the receiver to learn spectrum statistics and choose the frequency bands for sensing in order to maximize the throughput. Unlike the existing approaches, we show that the proposed approach does not need any prior knowledge of spectrum statistics. The efficacy of the proposed approach over state-of-the-art approaches is validated via hardware complexity as well as simulation results. We show that the proposed approach offers lower hardware complexity and achieves up to 23% lower estimation error than existing state-of-the-art methods.

关键词： Sensors Wideband Receivers Throughput Hardware Frequency-domain analysis Direction of arrival (DOA) noncontiguous wideband spectrum sensing (WSS) online learning reconfigurable multiantenna receiver sub-Nyquist sampling (SNS)

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Spectral irradiance simulation for evaluating light environments for indoor plants

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JAPAN ARCHITECTURAL REVIEW 2021年第4期4卷 649-659页

作者： Sugano, Soma Nitta, Ryo Shindo, Kan Nomoto, Akihisa Yoda, Shu Shigemura, Tamaho Ishii, Masahisa Tanabe, Shin-ichi Waseda Univ Dept Architecture Tokyo Japan Shimizu Corp Inst Technol Tokyo Japan Algorithm Design Lab Inc Tokyo Japan Natl Agr & Food Res Org Inst Rural Engn Tsukuba Ibaraki Japan

In recent years, interest in biophilic design and indoor greenery has increased. However, the growth of indoor plants may become stunted under unfavorable light conditions. Therefore, we must evaluate the light environments required for indoor plants to thrive. We propose a new method to assess indoor light environments for indoor plants by using spectral irradiance simulation. We verify the accuracy of the spectral irradiance simulation via actual measurements in a university classroom. Additionally, we confirm the calculation accuracy of the photosynthetic photon flux density, which is strongly correlated with photosynthesis in plants. We evaluate indoor light environments for indoor plants in 3D models by applying a few concepts from plant physiology.

关键词： biophilic design indoor greenery photosynthetic photon flux density simulation spectral irradiance

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Distributed algorithm for Opportunistic Spectrum Access in Dynamic Ad Hoc Networks 16

Distributed Algorithm for Opportunistic Spectrum Access in D...

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16th Annual International Conference on Distributed Computing in Sensor Systems (DCOSS)

作者： Kumar, Rohit Darak, Sumit J. Hanawal, Manjesh K. Univ Southern Calif Ming Hsieh Dept Elect Engn Los Angeles CA 90007 USA IIIT Delhi Elect & Commun Engn Algorithm Architecture Lab New Delhi India Indian Inst Technol Ind Engn & Operat Res Dept Mumbai Maharashtra India

ISBN: (纸本)9781728143514

The opportunistic spectrum access (OSA) algorithms allow secondary users (SUs) to exploit vacant channels with an aim to maximize overall spectrum utilization/throughput. The design of OSA algorithm is challenging for ad hoc networks due to lack of coordination among SUs and unknown channel statistics. It becomes even more challenging for the dynamic networks where the SUs can enter or leave the network any time without prior agreement. Most of the existing algorithms assume either prior knowledge of the number of SUs or need wideband sensing to sense all channels simultaneously to guarantee optimal channel allocation among SUs. Our goal in this paper is to develop distributed OSA algorithm for dynamic ad hoc networks that offers higher throughput without compromising on the number of SUs collisions. The proposed distributed algorithm is based on multi-player multi-arm bandit framework and they allow SUs to independently estimate the number of other SUs and channel statistics. We derive the upper bounds on the throughput loss (regret) and number of collisions. Exhaustive synthetic results and experimental results on universal software radio peripherals (USRP) based testbed validate our claims and superiority of the proposed algorithm.

关键词： Ad hoc networks

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Distributed algorithm for Opportunistic Spectrum Access in Dynamic Ad Hoc Networks

Distributed Algorithm for Opportunistic Spectrum Access in D...

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International Conference on Distributed Computing in Sensor Systems (DCOSS)

作者： Rohit Kumar Sumit. J. Darakt Manjesh K. Hanawal Ming Hsieh Department of Electrical Engineering University of Southern California LA USA Algorithm to Architecture Lab Electronics & Communication Engineering IIIT-Delhi India Industrial Engineering and Operational Research Department IIT Bombay India

ISBN: (数字)9781728143514

ISBN: (纸本)9781728198040

关键词： Heuristic algorithms Throughput Channel estimation Ad hoc networks Sensors Batteries Distributed algorithms

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Data Correlation-Aware Resource Management in Wireless Virtual Reality (VR): An Echo State Transfer Learning Approach

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IEEE TRANSACTIONS ON COMMUNICATIONS 2019年第6期67卷 4267-4280页

作者： Chen, Mingzhe Saad, Walid Yin, Changchuan Debbah, Merouane Beijing Univ Posts & Telecommun Beijing Key Lab Network Syst Architecture & Conve Beijing 100876 Peoples R China Virginia Tech Bradley Dept Elect & Comp Engn Wireless VT Blacksburg VA 24061 USA Huawei France R&D Math & Algorithm Sci Lab F-92100 Paris France

Providing seamless connectivity for wireless virtual reality (VR) users has emerged as a key challenge for future cloud-enabled cellular networks. In this paper, the problem of wireless VR resource management is investigated for a wireless VR network in which VR contents are sent by a cloud to cellular small base stations (SBSs). The SBSs will collect tracking data from the VR users, over the uplink, in order to generate the VR content and transmit it to the end-users using downlink cellular links. For this model, the data requested or transmitted by the users can exhibit correlation, since the VR users may engage in the same immersive virtual environment with different locations and orientations. As such, the proposed resource management framework can factor in such spatial data correlation, so as to better manage uplink and downlink traffic. This potential spatial data correlation can be factored into the resource allocation problem to reduce the traffic load in both the uplink and downlink. In the downlink, the cloud can transmit 360 degrees contents or specific visible contents (e.g., user field of view) that are extracted from the original 360 degrees contents to the users according to the users' data correlation so as to reduce the backhaul traffic load. In the uplink, each SBS can associate with the users that have similar tracking information so as to reduce the tracking data size. This data correlation-aware resource management problem is formulated as an optimization problem whose goal is to maximize the users' successful transmission probability, defined as the probability that the content transmission delay of each user satisfies an instantaneous VR delay target. To solve this problem, a machine learning algorithm that uses echo state networks (ESNs) with transfer learning is introduced. By smartly transferring information on the SBS's utility, the proposed transfer-based ESN algorithm can quickly cope with changes in the wireless networking environment

关键词： Virtual reality resource allocation echo state networks transfer learning

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Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report

Power Efficient Video Super-Resolution on Mobile NPUs with...

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17th European Conference on Computer Vision, ECCV 2022

作者： Ignatov, Andrey Timofte, Radu Chiang, Cheng-Ming Kuo, Hsien-Kai Xu, Yu-Syuan Lee, Man-Yu Lu, Allen Cheng, Chia-Ming Chen, Chih-Cheng Yong, Jia-Ying Shuai, Hong-Han Cheng, Wen-Huang Jia, Zhuang Xu, Tianyu Zhang, Yijian Bao, Long Sun, Heng Zhang, Diankai Gao, Si Liu, Shaoli Wu, Biao Zhang, Xiaofeng Zheng, Chengjian Lu, Kaidi Wang, Ning Sun, Xiao Wu, HaoDong Liu, Xuncheng Zhang, Weizhan Yan, Caixia Du, Haipeng Zheng, Qinghua Wang, Qi Chen, Wangdu Duan, Ran Sun, Mengdi Zhu, Dan Chen, Guannan Cho, Hojin Kim, Steve Yue, Shijie Li, Chenghua Zhuge, Zhengyang Chen, Wei Wang, Wenxu Zhou, Yufeng Cai, Xiaochen Cai, Hengxing Xu, Kele Liu, Li Cheng, Zehua Lian, Wenyi Lian, Wenjing Computer Vision Lab ETH Zurich Zürich Switzerland AI Witchlabs Zürich Switzerland University of Wuerzburg Würzburg Germany MediaTek Inc. Hsinchu Taiwan National Yang Ming Chiao Tung University Hsinchu Taiwan Video Algorithm Group Camera Department Xiaomi Inc. Beijing China Audio & Video Technology Platform Department ZTE Corporation Shenzhen China Beijing China School of Computer Science and Technology Xi’an Jiaotong University Xi’an China MIGU Video Co. Ltd. Beijing China BOE Technology Group Co. Ltd. Beijing China GenGenAI Seoul Korea Republic of North China University of Technology Beijing China Institute of Automation Chinese Academy of Sciences Beijing China State Key Laboratory of Computer Architecture Institute of Computing Technology Beijing China 4Paradigm Inc. Beijing China National University of Defense Technology Changsha China University of Oxford Oxford United Kingdom Uppsala University Uppsala Sweden Northeastern University Shenyang China

ISBN: (纸本)9783031250651

Video super-resolution is one of the most popular tasks on mobile devices, being widely used for an automatic improvement of low-bitrate and low-resolution video streams. While numerous solutions have been proposed for this problem, they are usually quite computationally demanding, demonstrating low FPS rates and power efficiency on mobile devices. In this Mobile AI challenge, we address this problem and propose the participants to design an end-to-end real-time video super-resolution solution for mobile NPUs optimized for low energy consumption. The participants were provided with the REDS training dataset containing video sequences for a 4X video upscaling task. The runtime and power efficiency of all models was evaluated on the powerful MediaTek Dimensity 9000 platform with a dedicated AI processing unit capable of accelerating floating-point and quantized neural networks. All proposed solutions are fully compatible with the above NPU, demonstrating an up to 500 FPS rate and 0.2 [Watt/30 FPS] power consumption. A detailed description of all models developed in the challenge is provided in this paper. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Energy utilization

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