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A novel approach for quantum financial simulation and quantum state preparation

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arXiv 2023年

作者： Chang, Yen-Jui Wang, Wei-Ting Chen, Hao-Yuan Liao, Shih-Wei Chang, Ching-Ray Department of Physics National Taiwan University No. 1 Sec. 4 Roosevelt Rd. Taipei106315 Taiwan NTU-IBM Quantum Hub No. 1 Sec. 4 Roosevelt Rd. Taipei106315 Taiwan Department of Computer Science and Information Engineering National Taiwan University No. 1 Sec. 4 Roosevelt Rd. Taipei106315 Taiwan Department of Computer Science University of London Senate House Malet Street London LondonWC1E 7HU United Kingdom Quantum Information Center Chung Yuan Christian University No. 200 Zhongbei Rd. Taoyuan City320314 Taiwan

Quantum state preparation is crucial in quantum computing for various applications, notably in quantum simulation where a quantum state must represent the simulated system. This study unveils the multi-Split-Steps Quantum Walk (multi-SSQW), an advanced simulation algorithm using parameterized quantum circuits (PQC) and a variational solver to manage complex probability distributions. Enhanced from the traditional split-steps quantum walk (SSQW) to include multi-agent decision-making, the multi-SSQW is adept at financial market modeling. It leverages quantum computation to accurately model intricate financial distributions and scenarios, offering key insights for financial analysis and strategic decisions. The algorithm’s flexibility, reliable convergence, and rapid computation make it a powerful tool for fast-paced financial market predictions. © 2023, CC BY.

关键词： Probability distributions

Streaming quantum state purification

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arXiv 2023年

作者： Childs, Andrew M. Fu, Honghao Leung, Debbie Li, Zhi Ozols, Maris Vyas, Vedang Institute for Quantum Computing University of Waterloo WaterlooONN2L 3G1 Canada Department of Computer Science Institute for Advanced Computer Studies Joint Center for Quantum Information and Computer Science University of Maryland College ParkMD20742 United States Massachusetts Institute of Technology 77 Massachusetts Ave. CambridgeMA02139 United States Perimeter Institute for Theoretical Physics 31 Caroline St. N. WaterlooONN2L 2Y5 Canada QuSoft University of Amsterdam Science Park 123 Amsterdam1098 XG Netherlands Concordia Institute of Information Systems Engineering Concordia University 1455 Blvd. De Maisonneuve Ouest MontrealQCH3G 1M8 Canada

Quantum state purification is the task of recovering a nearly pure copy of an unknown pure quantum state using multiple noisy copies of the state. This basic task has applications to quantum communication over noisy channels and quantum computation with imperfect devices, but has primarily been studied previously for the case of qubits. We derive an efficient purification procedure based on the swap test for qudits of any dimension, starting with any initial error parameter. Treating the initial error parameter and the dimension as constants, we show that our procedure has sample complexity asymptotically optimal in the final error parameter. Our protocol has a simple recursive structure that can be applied when the states are provided one at a time in a streaming fashion, requiring only a small quantum memory to implement. © 2023, CC BY.

关键词： Quantum communication

Sentiment analysis of course evaluation data based on SVM Model 7

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Sentiment analysis of course evaluation data based on SVM Mo...

7th IEEE International Conference on Progress in Informatics and Computing, PIC 2020

ISBN: (纸本)9781728170862

Machine learning is a hot technology in the field of modern computers and greatly affects people's way of life. As an important application of machine learning, emotion analysis can analyze people's emotional preferences and opinions on specific subjects, such as stock trends, public opinion analysis. In the traditional teaching evaluation system, the evaluation text cannot be directly quantified into scores, and the manual recognition needs a lot of effort, so the actual value is not big. This system uses crawler to crawl the evaluation text, and through the data enhancement, data cleaning, emotion dictionary construction, word vector conversion and other operations to complete the data preprocessing, and finally through the SVM model training and DAG multi-classification structure to complete the text emotion of five classification functions. On the basis of the algorithm, using the Flask to build network project achieve the function of frontend data display and interface design, thus helping the school to understand the students satisfaction with the degree of course teachers. © 2020 IEEE.

关键词： Sentiment analysis

Unity makes strength: Coalition Formation-based Group-buying for Timely UAV Data Collection

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Unity makes strength: Coalition Formation-based Group-buying...

GLOBECOM 2022 - 2022 IEEE Global Communications Conference

作者： Nan Qi Yeting Huang Wen Sun Shi Jin Theodoros A. Tsiftsis Qihui Wu Xiang Su National Mobile Communications Research Laboratory Southeast University Nanjing China College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics Nanjing China School of Cyber Science and Engineering Southeast University Nanjing China School of Intelligent Systems Science & Engineering Jinan University Zhuhai China Department of Computer Science Norwegian University of Science and Technology Gjøvik Norway Center for Ubiquitous Computing University of Oulu Oulu Finland

ISBN: (纸本)9781665435413

With their high mobility, unmanned aerial vehicles (UAVs) become appealing data collectors in hard-to-reach wide-area distributed sensor networks. Different from existing works focusing on the perspective of UAVs for service order optimization and UAV utility maximization, we consider the utilities of both sensors and UAVs, and innovatively model the competition among sensors (buyers) for the service of UAVs (sellers) as an auction game. A “unity makes strength” strategy is exploited. That is, to strengthen the bidding competitiveness, a group-buying coalition auction method that encourages sensors to form coalitions to bid for UAV service is proposed. Besides, we propose a parallel variable neighborhood ascent search algorithm, we can quickly determine the approximately optimal group-buying coalition structure. Numerical results show that the proposed method outperforms the joint trajectory design-task scheduling (TDTS) UAV-to-community method and the single coalition formation game (CFG) method.

关键词： Wireless sensor networks Games Data collection Autonomous aerial vehicles Search problems information age Trajectory

Satellite Edge Artificial Intelligence with Large Models: Architectures and Technologies

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arXiv 2025年

作者： Shi, Yuanming Zhu, Jingyang Jiang, Chunxiao Kuang, Linling Letaief, Khaled B. School of Information Science and Technology ShanghaiTech University Shanghai201210 China Beijing National Research Center for Information Science and Technology Tsinghua University Beijing100084 China Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong

Driven by the growing demand for intelligent remote sensing applications, large artificial intelligence (AI) models pre-trained on large-scale unlabeled datasets and fine-tuned for downstream tasks have significantly improved learning performance for various downstream tasks due to their generalization capabilities. However, many specific downstream tasks, such as extreme weather nowcasting (e.g., downburst and tornado), disaster monitoring, and battlefield surveillance, require real-time data processing. Traditional methods via transferring raw data to ground stations for processing often cause significant issues in terms of latency and trustworthiness. To address these challenges, satellite edge AI provides a paradigm shift from ground-based to on-board data processing by leveraging the integrated communication-and-computation capabilities in space computing power networks (Space-CPN), thereby enhancing the timeliness, effectiveness, and trustworthiness for remote sensing downstream tasks. Moreover, satellite edge large AI model (LAM) involves both the training (i.e., fine-tuning) and inference phases, where a key challenge lies in developing computation task decomposition principles to support scalable LAM deployment in resource-constrained space networks with time-varying topologies. In this article, we first propose a satellite federated fine-tuning architecture to split and deploy the modules of LAM over space and ground networks for efficient LAM fine-tuning. We then introduce a microservice-empowered satellite edge LAM inference architecture that virtualizes LAM components into lightweight microservices tailored for multi-task multimodal inference. Finally, we discuss the future directions for enhancing the efficiency and scalability of satellite edge LAM, including task-oriented communication, brain-inspired computing, and satellite edge AI network optimization. Copyright © 2025, The Authors. All rights reserved.

关键词： Data curation

Application of a Globally Optimal 3D Iterative Closest Point Point-Set Registration in CT Angiography

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Journal of Radiological science 2021年 46卷 39-43页

作者： Lin, Chin-Wen Chiang, Jui-Chiu Chen, Shao-Jer Huang, Po-Yu Lin, Kai-Xiang Chen, You-Jun Lin, Chih-Wen Hwang, Hou-Chi Department of Cardiology Dalin Tzu Chi Hospital Buddhist Tzu Chi Medical Foundation Chiayi Taiwan Department of Electrical Engineering Center for Innovative Research on Aging Society (CIRAS) National Chung Cheng University Chiayi Taiwan School of Medicine Tzu Chi University Hualien Taiwan Department of Medical Imaging Dalin Tzu Chi Hospital Buddhist Tzu Chi Medical Foundation Chiayi Taiwan Department of Computer Science and Information Engineering National Chung Cheng University Chiayi Taiwan

PURPOSE. In clinical practice, three-dimensional (3D) registration of medical images is always a challenge because of the movement of the patient. A 3D registration method was applied in this study to extract computed tomography angiography (CTA) images. MATERIALS AND METHODS. A study of 26 slab regions with various ranges of motion from 13 patients (10 men, 3 women;age range, 48-89 years) was approved by our institutional review board and evaluated retrospectively. Noncontrast-enhanced CT (NECT) and CTA images of the same volume data were acquired. Following simple thresholding, centralization, and normalization of the NECT and CTA images, a globally optimized 3D Iterative Closest Point (ICP) point-set registration was used for bone subtraction. Two radiologists conducted clinical evaluations, and the resulting data were analyzed. RESULTS. Significant improvements in motion correction and bony alignment were observed in the NECT and CTA images after the registration (p < 0.001). The resultant images exhibited vascular extraction with bone and calcification elimination. CONCLUSION. A 3D ICP registration method can successfully extract the vascular structures from NECT and CTA images. The method is applicable in a wide variety of medicine and engineering contexts. © 2021 Taiwan Radiological Society, Taiwan Society of Medical Imaging and Radiological sciences & Ainosco Press. All Rights Reserved.

关键词： blood vessel image segmentation computed tomography angiography three-dimensional image registration

A Secure Beamforming Design: When Fluid Antenna Meets NOMA

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arXiv 2024年

作者： Mai, Lifeng Yao, Junteng Tang, Jie Wu, Tuo Wong, Kai-Kit Shin, Hyundong Adachi, Fumiyuki The Electric Power Research Institute China Southern Power Grid Guangzhou510663 China The Guangdong Provincial Key Laboratory of Power System Network Security Guangdong Guangzhou China The Faculty of Electrical Engineering and Computer Science Ningbo University Ningbo315211 China The School of Electronic and Information Engineering South China University of Technology Guangzhou510006 China The School of Electrical and Electronic Engineering Nanyang Technological University 639798 Singapore The Department of Electronic and Electrical Engineering University College London Torrington Place WC1E 7JE United Kingdom The Department of Electronic Engineering Kyung Hee University Gyeonggi-do Yongin-si17104 Korea Republic of Tohoku University Sendai Japan

This letter proposes a secure beamforming design for downlink non-orthogonal multiple access (NOMA) systems utilizing fluid antenna systems (FAS). We consider a setup where a base station (BS) with M fluid antennas (FAs) communicates to a cell-center user (CU) and a cell-edge user (CEU), each with a FA. The CU is the intended recipient while the CEU is regarded as a potential eavesdropper. Our aim is to maximize the achievable secrecy rate by jointly optimizing the secure beamforming vectors and the positions of FAs. To tackle this, we adopt an alternating optimization (AO) algorithm that optimizes secure beamforming and the positions of the FAs iteratively while keeping the other variables fixed. Numerical results illustrate that when FAs meet NOMA, the proposed scheme greatly enhances the secrecy rate compared to conventional multiple-input single-output (MISO) fixed antenna NOMA systems and other benchmark schemes. © 2024, CC BY.

关键词： Beamforming

Dynamical Controller Placement among SDN Space-Terrestrial Integrated networks 22

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Dynamical Controller Placement among SDN Space-Terrestrial I...

22nd IEEE International Conference on High Performance Computing and Communications, 18th IEEE International Conference on Smart City and 6th IEEE International Conference on Data science and Systems, HPCC-SmartCity-DSS 2020

作者： Zhang, Xuhui Tang, Feilong Cao, Lijun Chen, Long Yu, Jiadi Xu, Wenchao Zhang, Xingjun Lei, Jianjun Wang, Zhibo Shanghai Jiao Tong University Department of Computer Science and Engineering China Innovation Resource Center KEDACOM Co. Ltd China East China Normal University School of Information Science and Technology China Xi'An Jiaotong University School of Computer Science and Technology China Shenshu Railway Branch of Shenhua Energy Limited China

ISBN: (纸本)9781728176499

Software Defined networking (SDN) provides a flexible way to control heterogeneous network resources, which can effectively manage the space and terrestrial network resources. The controller placement problem is important for SDN-based network, and it is an entirely new challenge in SDN-based space-Terrestrial integrated networks (STINs). In this paper, we firstly propose a SDN-based STIN architecture, where integrates the network resources in layers. Then, we formulate the dynamic controller placement problem in the proposed architecture as a mixed non-integer linear programming problem and prove its NP-hardness. After that, we propose an efficient dynamic controller placement and adjustment (DCPA) algorithm with the consideration of comprehensive expense. Finally, we construct the SDN-based STIN system through extending NS3 and evaluate our proposed algorithm with related schemes. The results demonstrate that our DCPA outperforms related proposals in terms of average response time and load balancing. © 2020 IEEE.

关键词： Integer programming

Relaxation Based Modeling of GMD Induced Cascading Failures in ***

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Relaxation Based Modeling of GMD Induced Cascading Failures ...

2021 North American Power Symposium, NAPS 2021

作者： Mate, Adam Barnes, Arthur K. Morley, Steven K. Friz-Trillo, Jacob A. Cotilla-Sanchez, Eduardo Blake, Sean P. Los Alamos National Laboratory Advanced Network Science Initiative Los AlamosNM87545 United States Los Alamos National Laboratory Space Science and Applications Group Los AlamosNM87545 United States Department of Electrical and Biomedical Engineering University of Vermont BurlingtonVT05405 United States Oregon State University School of Electrical Engineering and Computer Science CorvallisOR97331 United States NASA Goddard Space Flight Center Heliophysics Science Division GreenbeltMD20771 United States

ISBN: (纸本)9781665420815

A major risk of geomagnetic disturbances (GMDs) is cascading failure of electrical grids. The modeling of GMD events and cascading outages in power systems is difficult, both independently and jointly, because of the many different mechanisms and physics involved. This paper introduces a relaxation based modeling of GMD-induced cascading failures: the dc approximation-based DCSIMSEP solver was adapted to simulate cascading as a result of GMDs, the full set of ac power flow equations were relaxed to guarantee optimality, and the reactive power losses were modeled while keeping the problem convex. The developed algorithm was implemented in *** - an open-source software specifically designed to model and analyze geomagnetic hazards - and demonstrated to work on the RTS-GMLC-GIC-EAST synthetic test network. © 2021 IEEE.

关键词： Open source software