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Experimental realization of quantum algorithm for solving linear systems of equations

Physical Review A 2014年第2期89卷 022313-022313页

作者： Jian Pan Yudong Cao Xiwei Yao Zhaokai Li Chenyong Ju Hongwei Chen Xinhua Peng Sabre Kais Jiangfeng Du Hefei National Laboratory for Physical Sciences at Microscale and Department of Modern Physics University of Science and Technology of China Hefei 230026 People's Republic of China Department of Computer Science Purdue University West Lafayette Indiana 47907 USA Department of Electronic Science and Fujian Key Laboratory of Plasma and Magnetic Resonance School of Physics and Mechanical and Electrical Engineering Xiamen University Xiamen Fujian 361005 China Synergetic Innovation Center of Quantum Information & Quantum Physics University of Science and Technology of China Hefei Anhui 230026 China High Magnetic Field Laboratory Hefei Institutes of Physical Science Chinese Academy of Sciences Hefei 230031 People's Republic of China Department of Chemistry Physics and Birck Nanotechnology Center Purdue University West Lafayette Indiana 47907 USA Qatar Environment and Energy Research Institute Qatar Foundation Doha Qatar

Many important problems in science and engineering can be reduced to the problem of solving linear equations. The quantum algorithm discovered recently indicates that one can solve an N-dimensional linear equation in O(logN) time, which provides an exponential speedup over the classical counterpart. Here we report an experimental demonstration of the quantum algorithm when the scale of the linear equation is 2×2 using a nuclear magnetic resonance quantum information processor. For all sets of experiments, the fidelities of the final four-qubit states are all above 96%. This experiment gives the possibility of solving a series of practical problems related to linear systems of equations and can serve as the basis to realize many potential quantum algorithms.

关键词： QUANTUM theory LINEAR systems ALGORITHMS PROBLEM solving QUBITS NUCLEAR magnetic resonance

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A single channel-single trial P300 detection algorithm

A single channel-single trial P300 detection algorithm

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Iranian Conference on electrical engineering (ICEE)

作者： Neda Haghighatpanah Rasoul Amirfattahi Vahid Abootalebi Behzad Nazari Digital signal processing research Laboratory department of Electrical & Computer Engineering Isfahan University of technology Isfahan Iran Electrical & Computer Engineering Department Yazd University Yazd Iran

A Brain computer Interface (BCI) system allows the users to communicate with their surroundings without using any muscle activity. Many of these systems are based on the analysis of Event Related Potentials (ERPs) such as P300. P300 speller is one of the common BCI systems which attract a lot of attention; however, there are still a lot of flaws in these systems which should be considered. Since ERPs such as P300 signals have a very low Signal to Noise Ratio (SNR), single trial analysis of these signals is difficult and in many papers, denoising methods such as synchronous averaging were proposed to reduce random noise; however, it reduces the communication rate greatly. Another major problem in many BCI applications is the numerous number of channels needed to record EEG signals in order to have a reliable system. In this paper, a new method is presented to detect P300 signals through single channel data analysis and also it reaches an average accuracy of 65% in single trial P300 detection.

关键词： Electroencephalography Feature extraction Algorithm design and analysis Wavelet transforms Standards Detection algorithms Accuracy

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Relationship exploration among PPI, ATGP and VCA via theoretical analysis

Relationship exploration among PPI, ATGP and VCA via theoret...

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作者： Chang, Chein-I. Wen, Chia-Hsien Wu, Chao-Cheng Department of Computer Science and Electrical Engineering Remote Sensing Signal and Image Processing Laboratory University of Maryland 1000 Hilltop Circle Baltimore MD 21250 United States Department of Computer Science and Information Engineering Providence University Taichung Taiwan Department of Computer Science and Information Management Providence University 200 Taiwan Boulevard Shalu Dist. Taichung City 43301 Taiwan Department of Electrical Engineering National Taipei University of Technology 1 Zhongxiao E. Rd. Taipei 106 Taiwan

The principle of orthogonality using orthogonal projection (OP) is the key concept to develop mean squared error estimation theory in signal processing and communications. It has also found its way in a wide variety of applications in hyperspectral imaging. This paper explores close relationships among three OP-based algorithms, pixel purity index (PPI), vertex component analysis (VCA) in endmember extraction, automatic target generation process (ATGP) in mixed pixel classification and target detection, etc. and further shows that they indeed can be interpreted one way or another. Specifically, VCA and ATGP are essentially the same algorithm in the sense that they both extract targets via maximal OP from a nested sequence of successive orthogonal subspace projection spaces. Copyright © 2013 Inderscience Enterprises Ltd. Copyright © 2013 Inderscience Enterprises Ltd.

关键词： Hyperspectral imaging

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Iron ore green pellet diameter measurement by using of image processing techniques

Iron ore green pellet diameter measurement by using of image...

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Iranian Conference on electrical engineering (ICEE)

作者： Mahdi Heydari Rassoul Amirfattahi Behzad Nazari Alireza Bastani Digital Signal processing Research Laboratory Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan Iran Department of Mechanical Engineering Isfahan University of Technology Isfahan Iran

Automatic Quality control is a vital process in many manufacturing process such as steel industry. Pellet size monitoring and control is a critical process which is done in steel making to improve quality of products. According to the technical reports, pellet size should be fall in the range of 9-16 mm in diameter. Larger or smaller pellets could degrade the final products and impose extra overheads to industry. In this paper, a new method is proposed for measuring the pellet size using practical Image processing algorithms. In this method, active contour with Chen-Vese method is used to eliminate the images backgrounds and achieving a distinguishable plot of the objects. After detecting distinct elements existing in the image, the number of pellets in each object is determined and each object is classified as singular, double, triple or more pellets using an SVM classifier. Finally, morphological methods are used to estimate the real size of pellets and the pellets size histogram is presented. This practical method was applied in Mobarakeh Steel Complex, where the method was tested on about 1000 prototypes. Results showed that we have 95.1% of accuracy for detection of one pellet elements and in classification by SVM 95.6% of elements were classified correctly.

关键词： Support vector machines Image edge detection Iron Active contours Finite impulse response filters Steel Accuracy

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Incommensurate order fractional optimal control: Application to treatment of psychiatric disorders

Incommensurate order fractional optimal control: Application...

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Iranian Conference on electrical engineering (ICEE)

作者： S. S. Tabatabaei M. J. Yazdanpanah M. S. Tavazoei Department of Electrical Engineering Amirkabir University of Technology Tehran Iran Advanced Control Systems Laboratory Control and Intelligent Processing Center of Excellence School of Electrical and Computer Tehran Iran Electrical Engineering Department Sharif University of Technology Tehran Iran

ISBN: (纸本)9781467356329

The main point of this paper is to present a time domain strategy for drug dosage to treat psychiatric disorders. A time domain model of emotion is obtained from an extension of a recently developed fractional nonlinear dynamic model of happiness. First, the Fractional Optimal Control law for incommensurate multi state systems is obtained. It will be then applied as an optimal drug administration procedure in the line of psychiatric disorders treatment. Results of this paper show that optimal control scheme is a proper approach to face the difficulties of analysis and control the incommensurate systems. It can be also clearly seen from the simulation results that this approach is very effective in the case that control methods are used as treatment techniques.

关键词： Mathematical model Drugs Optimal control Numerical models Differential equations Equations

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Scalable user-adaptive multiview video coder

Scalable user-adaptive multiview video coder

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International Conference on Digital Signal processing (DSP)

作者： Vladan Velisavljevic Jacob Chakareski Vladimir Stankovic Department of Computer Science & Technology University of Bedfordshire Luton UK Signal Processing Laboratory EPFL Lausanne Switzerland Department Electronic & Electrical Engineering University of Strathclyde Glasgow UK

ISBN: (纸本)9781467358064

We derive an optimization framework for joint view and rate scalable coding of multi-view video content represented in the texture plus depth format. The optimization enables the sender to select the subset of coded views and their encoding rates such that the aggregate distortion over a continuum of synthesized views is minimized. We construct the view-rate scalable bitstream such that it delivers optimal performance simultaneously over a discrete set of transmission rates. In conjunction, we develop a user interaction model that characterizes the view selection actions of the client as a Markov chain over a discrete state-space. Our scheme outperforms the state-of-the-art H.264 SVC codec as well as a multi-view wavelet-based coder equipped with a uniform rate allocation strategy, across all scenarios studied. Finally, we observed that the interactivity-aware coding delivers superior performance over conventional allocation techniques that do not anticipate the client's view selection actions in their operation.

关键词： Encoding Static VAr compensators Bit rate PSNR Cameras Resource management Codecs

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Unsupervised activity clustering to estimate energy expenditure with a single body sensor

Unsupervised activity clustering to estimate energy expendit...

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International Workshop on Wearable and Implantable Body Sensor Networks (BSN)

作者： Shanshan Chen John Lach Oliver Amft Marco Altini Julien Penders Charles L. Brown Department of Electrical & Computer Engineering University of Virginia Charlottesville USA ACT Laboratory Signal Processing Systems Eindhoven University of Technology Eindhoven Netherlands IMEC Netherlands Eindhoven Netherlands

ISBN: (纸本)9781479903313

Body sensor networks (BSNs) have provided the opportunity to monitor energy expenditure (EE) in daily life and with that information help reduce sedentary behavior and ultimately improve human health. Current approaches for EE estimation using BSNs require tedious annotation of activity types and multiple body sensor nodes during data collection and high accuracy activity classifiers during post processing. These drawbacks impede deploying this technology in daily life — the primary motivation of using BSNs to monitor EE. With the goal of achieving the highest EE estimation accuracy with the least invasiveness and data collection effort, this paper presents an unsupervised, single-node solution for data collection and activity clustering. Motivated by a previous finding that clusters of similar activities tend to have similar regression models for estimating EE, we apply unsupervised clustering to implicitly group activities with homogeneous features and generate specific regression models for each activity cluster without requiring manual annotation. The framework therefore does not require specific activity classification, hence eliminating activity type labels. With leave-one-subject-out cross-validation across 10 subjects, an RMSE of 0.96 kcal/min was achieved, which is comparable to the activity-specific model and improves upon a single regression model.

关键词： Feature extraction Data collection Accuracy Estimation Electrocardiography Accelerometers Heart rate

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Colorimetric Plasmon Resonance Imaging Using Nano Lycurgus Cup Arrays (vol 01, pg 68, 2013)

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ADVANCED OPTICAL MATERIALS 2013年第4期1卷 281-281页

作者： Gartia, Manas Ranjan Hsiao, Austin Pokhriyal, Anusha Seo, Sujin Kulsharova, Gulsim Cunningham, Brian T. Bond, Tiziana C. Liu, Gang Logan Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign Illinois USA Department of Nuclear Plasma and Radiological Engineering University of Illinois at Urbana-Champaign Illinois USA Meso Micro and Nano Technologies Center Lawrence Livermore National Laboratory California USA Department of Bioengineering University of Illinois at Urbana-Champaign Illinois USA Department of Physics University of Illinois at Urbana-Champaign Urbana Illinois USA Department of Material Science and Engineering University of Illinois at Urbana-Champaign Illinois USA Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign Urbana Illinois USA Micro and Nano Technology Laboratory University of Illinois at Urbana-Champaign Illinois USA [*]E-mail: loganliu@illinois.edu

A large-area high-density nanoscale Lycurgus cup array is created with 100 times better sensitivity than any other reported nanoplasmonic device. With this device, nanoplasmonic spectroscopy sensing, for the first tim... 详细信息

关键词： colorimetric imaging surface plasmons nanoholes biosensing nanoarrays

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Wireless sensor networks in application to patients health monitoring

Wireless sensor networks in application to patients health m...

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IEEE Symposium on Computational Intelligence in Healthcare and e-health

作者： Stanislaw Rajba Pawel Raif Teresa Rajba Mufti Mahmud Department of Electrical Engineering and Automation University of Bielsko-Biała Bielsko-Biala Poland Department of Mathematics and Computer Science University of Bielsko-Biała Bielsko-Biala Poland Department of Biosensors and Biomedical Signals Processing Silesian University of Technology Gliwice Poland NeuroChip Laboratory University of Padova Padova Italy

This work presents an application of Wireless Sensor Network (WSN) of random access with one-way transmission to the monitoring of hospital patients. In the paper, we consider WSN single-hop network using one single radio frequency, such that all nodes are divided into several groups depending on the average time between the transmission due to the different state of health of patients. We apply the Poisson Arrivals See Time Averages (PASTA) to modeling of WSN. We present formula for the probability of collisions which has been verified by simulation studies of network.

关键词： Wireless sensor networks Protocols Monitoring Hospitals Wireless networks Mathematical model Ad hoc networks

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Application of PDSLin to the magnetic reconnection problem

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Computational Science and Discovery 2013年第1期6卷

作者： Yuan, Xuefei Li, Xiaoye S Yamazaki, Ichitaro Jardin, Stephen C Koniges, Alice E Keyes, David E Lawrence Berkeley National Laboratory Berkeley CA 94720 United States Innovative Computing Laboratory University of Tennessee Knoxville TN 37996 United States Theory and Computation Department Princeton Plasma Physics Laboratory Princeton NJ 08540 United States Department of Astrophysical Sciences Princeton University Princeton NJ 08544 United States Division of Computer Electrical and Mathematical Sciences and Engineering King Abdullah University of Science and Technology Thuwal 23955-6900 Saudi Arabia Department of Applied Physics and Applied Mathematics Columbia University New York NY 10027 United States

Magnetic reconnection is a fundamental process in a magnetized plasma at both low and high magnetic Lundquist numbers (the ratio of the resistive diffusion time to the Alfvén wave transit time), which occurs in a wide variety of laboratory and space plasmas, e.g. magnetic fusion experiments, the solar corona and the Earth's magnetotail. An implicit time advance for the two-fluid magnetic reconnection problem is known to be difficult because of the large condition number of the associated matrix. This is especially troublesome when the collisionless ion skin depth is large so that the Whistler waves, which cause the fast reconnection, dominate the physics (Yuan et al 2012 J. Comput. Phys. 231 5822-53). For small system sizes, a direct solver such as SuperLU can be employed to obtain an accurate solution as long as the condition number is bounded by the reciprocal of the floating-point machine precision. However, SuperLU scales effectively only to hundreds of processors or less. For larger system sizes, it has been shown that physics-based (Chacón and Knoll 2003 J. Comput. Phys. 188 573-92) or other preconditioners can be applied to provide adequate solver performance. In recent years, we have been developing a new algebraic hybrid linear solver, PDSLin (Parallel Domain decomposition Schur complement-based Linear solver) (Yamazaki and Li 2010 Proc. VECPAR pp 421-34 and Yamazaki et al 2011 Technical Report). In this work, we compare numerical results from a direct solver and the proposed hybrid solver for the magnetic reconnection problem and demonstrate that the new hybrid solver is scalable to thousands of processors while maintaining the same robustness as a direct solver. © 2013 IOP Publishing Ltd.

关键词： Magnetoplasma

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