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نتیجه جستجو - آستانه

تعداد مقالات یافته شده: 64
ردیف عنوان نوع
1 Oscillator-to-Oscillator Codes Do Not Have a Threshold
کدهای نوسان ساز به نوسان ساز آستانه ندارند-2022
It is known that continuous variable quantum information cannot be protected against naturally occurring noise using Gaussian states and operations only. Noh et al. proposed bosonic oscillator-to-oscillator codes relying on nonGaussian resource states as an alternative, and showed that these encodings can lead to a reduction of the effective error strength at the logical level as measured by the variance of the classical displacement noise channel. An oscillator-to-oscillator code embeds K logical bosonic modes (in an arbitrary state) into N physical modes by means of a Gaussian N-mode unitary and N-K auxiliary one-mode Gottesman-Kitaev-Preskill-states. Here we ask if – in analogy to qubit error-correcting codes – there are families of oscillator-to-oscillator codes with the following threshold property: They allow to convert physical displacement noise with variance below some threshold value to logical noise with variance upper bounded by any (arbitrary) constant. We find that this is not the case if encoding unitaries involving a constant amount of squeezing and maximum likelihood error decoding are used. We show a general lower bound on the logical error probability which is only a function of the amount of squeezing and independent of the number of modes. As a consequence, any physically implementable family of oscillator-to-oscillator codes combined with maximum likelihood error decoding does not admit a threshold.
Index Terms: Bosonic codes | continuous-variable quantum information | fault-tolerance threshold | modulo reduced Gaussian vectors | quantum error correction | quantum fault-tolerance.
مقاله انگلیسی
2 Quantum Error Correction at the Threshold: If technologists dont get beyond it, quantum computers will never be big
تصحیح خطای کوانتومی در آستانه: اگر تکنولوژیست ها از آن فراتر نروند، کامپیوترهای کوانتومی هرگز بزرگ نخواهند شد-2022
Dates chIseleD into an ancient tombstone have more in common with the data in your phone or laptop than you may realize. They both involve conventional, classical information, carried by hardware that is relatively immune to errors. The situation inside a quantum computer is far different: The information itself has its own idiosyncratic properties, and compared with standard digital microelectronics, state-of-the-art quantum-computer hardware is more than a billion trillion times as likely to suffer a fault. This tremendous susceptibility to errors is the single biggest problem holding back quantum computing from realizing its great promise. Fortunately, an approach known as quantum error correction (QEC) can remedy this problem, at least in principle. A mature body of theory built up over the past quarter century now provides a solid theoretical foundation, and experimentalists have demonstrated dozens of proof-of-principle examples of QEC. But these experiments still have not reached the level of quality and sophistication needed to reduce the overall error rate in a system.
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مقاله انگلیسی
3 A Low-Complexity Quantum Principal Component Analysis Algorithm
یک الگوریتم تحلیل مولفه اصلی کوانتومی با پیچیدگی کم-2022
In this article, we propose a low-complexity quantum principal component analysis (qPCA) algorithm. Similar to the state-of-the-art qPCA, it achieves dimension reduction by extracting principal components of the data matrix, rather than all components of the data matrix, to quantum registers, so that the samples of measurement required can be reduced considerably. Both our qPCA and Lin’s qPCA are based on quantum singular-value thresholding (QSVT). The key of Lin’s qPCA is to combine QSVT, and modified QSVT is to obtain the superposition of the principal components. The key of our algorithm, however, is to modify QSVT by replacing the rotation-controlled operation of QSVT with the controlled-not operation to obtain the superposition of the principal components. As a result, this small trick makes the circuit much simpler. Particularly, the proposed qPCA requires three phase estimations, while the state-of-the-art qPCA requires five phase estimations. Since the runtime of qPCA mainly comes from phase estimations, the proposed qPCA achieves a runtime of roughly 3/5 of that of the state of the art. We simulate the proposed qPCA on the IBM quantum computing platform, and the simulation result verifies that the proposed qPCA yields the expected quantum state.
INDEX TERMS: Quantum computing | quantum principal component analysis (qPCA) | quantum singular value threshold.
مقاله انگلیسی
4 Genetic Algorithm based Internet of Precision Agricultural Things (IopaT) for Agriculture 4:0
اینترنت اشیاء دقیق کشاورزی مبتنی بر الگوریتم ژنتیک (IopaT) برای کشاورزی 4:0-2022
The development of IoT is increasing in our daily life. Its applications are now becoming famous in rural areas also, such as Agriculture 4.0. Cheap sensors, climate data, soil in- formation, and drones are now used to solve many real-time problems. One of the most emerging topics in the IoT in the Agriculture field is IoT based precision agriculture. The range of IoT applications can range between water spraying from drone, soil recommenda- tion for different crops, weather prediction and recommendation for water supply, etc. In this paper we propose a system that will recommend whether water is needed or not by predicting the rain fall using Genetic Algorithm. In this article, we proposed a unique de- cision making method to predict Rainfall using Genetic Algorithm (GA) to identify the ne- cessity of manual water supply is needed or not. The sensor based system will be activated to check wheather the GA based system completes its prediction correctly or not by sens- ing moisture level from the soil. If the moisture level of the soil crosses the pre-defined threshold value then plant watering is performed by quadrotor UAV. A terrace gardening system is also implemented in this article, which uses a pump for water spraying. Various atmospheric parameters help to develop a rainfall prediction system to enhance efficiancy more than 80% in the proposed IopaT system to make the system more interoperable.
keywords: اینترنت اشیا | تصمیم گیری | کشاورزی دقیق | الگوریتم ژنتیک | کشاورزی 4.0 | کوادکوپتر پهپاد | سنسور رطوبت خاک | Internet of Things | Decision Making | Precision Agriculture | Genetic Algorithm | Agriculture 4.0 | Quadrotor UAV | Soil Moisture Sensor
مقاله انگلیسی
5 Moisture dependence of electrical resistivity in under-percolated cement-based composites with multi-walled carbon nanotubes
وابستگی مقاومت الکتریکی به رطوبت در کامپوزیت های پایه سیمانی کم نفوذ با نانولوله های کربنی چند جداره-2021
Cement-based piezoresistive composites have attracted significant attention as smart construction materials for embedding self-sensing capability in concrete infrastructure. Although a number of studies have been conducted using multi-walled carbon nanotubes (MWCNTs) as a functional filler for self-sensing cement-based composites, studies addressing the influence of the internal moisture state on the electrical properties are relatively scant. In this study, we aim to experimentally investigate the effect of internal moisture state on the electrical resistivity of cement-based composites containing MWCNTs as an electrically conductive medium to raise a need for calibration of self-sensing data considering the internal moisture state. To this end, the moisture dependence of electrical resistivity in under-percolated cement-based composites was mainly evaluated, along with other material properties such as strength, shrinkage, and flowability. Results revealed that the electrical resistivity increased almost linearly as the internal relative humidity (IRH) decreased, and the increase was more pronounced below the percolation threshold. In addition, it was found that the strength gained by the microfiller effect of MWCNTs was significantly reduced particularly in under-percolated mixtures, leading to overall strength reductions. Furthermore, this study showed that the more the MWCNT was added, the smaller the flowability was obtained due to the increased viscosity of the mixture. The findings of this study are expected to provide pivotal information for accurate and reliable interpretations of self-sensing data generated by MWCNT-embedded cement-based composites.
Keywords: carbon nanotubes | cement-based composites | electrical resistivity | internal relative humidity | percolation threshold | self-sensing
مقاله انگلیسی
6 Advanced lane detection technique for structural highway based on computer vision algorithm
تکنیک تشخیص خط پیشرفته برای بزرگراه ساختاری بر اساس الگوریتم بینایی ماشین-2021
Lane departure detection plays a vital role in the Advanced Driver assistive systems and it improves the vehicle’s active safe driving. A wholesome lane detection method which is based on computer vision techniques, is introduced. The lane boundaries and its radius of curvatures and lane direction were detected from a stream of videos. This video footage was recorded from a camera mounted on the top of a vehicle. We have corrected the camera distortion in the input frame. HLS thresholding and sobel thresholding techniques are applied to the undistorted image for getting focus on the lane lines in the binary image. Then the resulted frame is warped to the bird’s eye by applying the perspective transform. The respective lane line pixels are identified using sliding window search and then left and right lane lines are identified by fitting second-degree polynomials. The lane curvature and deviation from the lane centre are also computed after the identification of the lane. The identified lane boundaries are warped back onto the input image and the radius of lane curvature and vehicle position is calculated and dis- played. Hence this technique is enforced using python programming language and for processing the images open CV is utilized. The obtained result illustrates how the proposed method accurately detects the lane line in different lightning conditions.© 2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the International Conference on Advances in Materials Research – 2019.
Keywords: Lane detection | Sobel thresholding | HLS thresholding | Perspective transform | Sliding window search
مقاله انگلیسی
7 Wave breaking in a class of non-local conservation laws
شکستن موج در یک کلاس از قوانین حفاظت غیر محلی-2020
For models describing water waves, Constantin and Escher [3]’s works have long been considered as the cornerstone method for proving wave breaking phenomena. Their rigorous analytic proof shows that if the lowest slope of flows can be controlled by its highest slope initially, then the wave-breaking occur for the Whitham-type equation. Since this breakthrough, there have been numerous refined wave-breaking results established by generalizing the kernel which describes the dispersion relation of water waves. In this work, from a rich class of non-local conservation laws, a Riccati-type system that governs the flow’s gradient is extracted and investigated. The system’s leading coefficient functions are allowed to change their values and signs over time as opposed to the ones in many of other previous works are fixed constants. The blow-up analysis is illustrated via the Whitham-type equation with nonlinear drift.
Keywords:Nonlocal conservation law | Wave-breaking | Blow-up | Critical threshold | Traffic flow | Whitham equation
مقاله انگلیسی
8 Optimal surface estimation and thresholding of confocal microscope images of biofilms using Beers Law
تخمین بهینه سطح و آستانه گرفتن تصاویر میکروسکوپ کانفوکال بیوفیلم ها با استفاده از قانون Beers -2020
Beers Law explains how light attenuates into thick specimens, including thick biofilms. We use a Bayesian optimality criterion, the maximum of the posterior probability distribution, and computationally efficiently fit Beers Law to the 3D intensity data collected from thick living biofilms by a confocal scanning laser microscope. Using this approach the top surface of the biofilm and an optimal image threshold can be estimated. Biofilm characteristics, such as bio-volumes, can be calculated from this surface. Results from the Bayesian approach are compared to other approaches including the method of maximum likelihood or simply counting bright pixels. Uncertainty quantification (i.e., error bars) can be provided for the parameters of interest. This approach is applied to confocal images of stained biofilms of a common lab strain of Pseudomonas aeruginosa, stained biofilms of Janthinobacterium isolated from the Antarctic, and biofilms of Staphylococcus aureus that have been genetically modified to fluoresce green.
Keywords: Attenuation | Thresholding | Maximum likelihood | Beer-Lambert Law | Bayesian | Confocal microscope image analysis
مقاله انگلیسی
9 Exponential stability analysis of quaternion-valued neural networks with proportional delays and linear threshold neurons: Continuous-time and discrete-time cases
تجزیه و تحلیل ثبات نمایی شبکه های عصبی کواترنیونی با تأخیر متناسب و نورون های آستانه خطی: موارد زمان گسسته و زمان پیوسته-2020
A class of quaternion-valued neural networks (QVNNs) with proportional delays and linear threshold neu- rons is proposed in this paper. First, by employing Halanay inequality technique and matrix measure method, the global exponential stability of continuous-time QVNNs with proportional delays and linear threshold neurons is studied, and some sufficient conditions are derived to guarantee global exponential stability of the studied continuous-time systems. Then, the discrete-time analogues of the continuous- time QVNNs with proportional delays and linear threshold neurons are formulated and investigated by using the semi-discretization method. The discrete-time analogues are equivalent to the considered continuous-time neural networks, and possess the convergence behaviors of the considered continuous- time systems without any limitation applied to the discretization step size. Finally, some numerical ex- amples are presented to ensure the effectiveness and correctness of the theoretical results obtained
Keywords: Exponential stability | Continuous-time | Discrete-time | Quaternion-valued neural networks | (QVNNs) | Proportional delays | Linear threshold neurons
مقاله انگلیسی
10 Dynamical mechanism for conduction failure behavior of action potentials related to pain information transmission
مکانیسم دینامیکی برای رفتار نارسایی هدایت کننده پتانسیلهای عمل مربوط به انتقال اطلاعات درد-2020
Conduction of action potentials along nerve fiber is an important nonlinear phenomenon related to neu- ral information transition. Recently, the conduction failure behavior that some action potentials with high frequency fail to conduct along C-fiber was identified to be associated with diabetic neuropathy and in- duced by potassium ( K + ) channel. In the present paper, the dynamical mechanism for downregulated expression of K + channel induced-reduction of conduction failure, i.e. enhancement of painful informa- tion, is acquired with a chain network model composed of Hodgkin-Huxley (HH) neurons. The conduction failure behavior appears for the action potentials induced by stimulation with high frequency and small coupling strength corresponding to C-fiber, and the conduction failure degree reduces with decreasing K + conductance, which closely matches with those observed in the biological experiment. Moreover, the dynamics of the conduction failure behavior are explained with the Hopf bifurcation of HH model. The afterpotential near the Hopf bifurcation exhibits the damping oscillation, which leads to that the current intensity threshold of a pulse stimulation to evoke an action potential from the afterpotential also mani- fests damping oscillations. Such a current threshold is the intrinsic cause that conduction failure behavior appears for action potential with high frequency. With decreasing K + conductance, the current threshold becomes lower, which is the intrinsic dynamical mechanism for the reduction of conduction failure de- gree. By using current threshold determined by Hopf bifurcation, the results present the dynamical mech- anism of potassium channel induced-conduction failure behavior, which shows that potassium channel is a potential modulation candidate for the pathological pain.
Keywords: Conduction failure of action potential | Afterpotential | Bifurcation | Potassium ion channel | Diabetic neuropathy | Current threshold
مقاله انگلیسی
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