با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
ردیف | عنوان | نوع |
---|---|---|
1 |
Discriminating Quantum States in the Presence of a Deutschian CTC: A Simulation Analysis
حالت های کوانتومی متمایز در حضور CTC Deutschian: یک تحلیل شبیه سازی-2022 In an article published in 2009, Brun et al. proved that in the presence of a “Deutschian”
closed timelike curve, one can map K distinct nonorthogonal states (hereafter, input set) to the standard
orthonormal basis of a K-dimensional state space. To implement this result, the authors proposed a quantum
circuit that includes, among SWAP gates, a fixed set of controlled operators (boxes) and an algorithm for
determining the unitary transformations carried out by such boxes. To our knowledge, what is still missing
to complete the picture is an analysis evaluating the performance of the aforementioned circuit from an
engineering perspective. The objective of this article is, therefore, to address this gap through an in-depth
simulation analysis, which exploits the approach proposed by Brun et al. in 2017. This approach relies on
multiple copies of an input state, multiple iterations of the circuit until a fixed point is (almost) reached. The
performance analysis led us to a number of findings. First, the number of iterations is significantly high even
if the number of states to be discriminated against is small, such as 2 or 3. Second, we envision that such
a number may be shortened as there is plenty of room to improve the unitary transformation acting in the
aforementioned controlled boxes. Third, we also revealed a relationship between the number of iterations
required to get close to the fixed point and the Chernoff limit of the input set used: the higher the Chernoff
bound, the smaller the number of iterations. A comparison, although partial, with another quantum circuit
discriminating the nonorthogonal states, proposed by Nareddula et al. in 2018, is carried out and differences
are highlighted.
INDEX TERMS: Benchmarking and performance characterization | classical simulation of quantum systems. |
مقاله انگلیسی |
2 |
Spatiotemporal flow features in gravity currents using computer vision methods
ویژگی های جریان مکانی-زمانی در جریان های گرانشی با استفاده از روش های بینایی کامپیوتری-2022 Relationships between the features visually identified at the front of the flow’s current and parameters
regarding its velocity and turbulence were observed in early experimental works on the characterization of
gravity currents. Researches have associated front features, like lobes and clefts, with the flow’s turbulence, and
have used these associations ever since. In more recent works using numerical simulations, these connections
were still being validated for various flow parameters at higher front velocities. The majority of works regarding
measurements at the front of a gravity current rely on the front’s images for making its analysis and establish
relationships. Besides that, there is an interdisciplinary field related to computer science called computer vision,
devoted to study how digital images can be analyzed and how these results can be automated. This paper
describes the use of computer vision algorithms, particularly corner detection and optical flow, to automatically
track features at the front of gravity currents, either from physical or numerical experiments. To determine the
proposed approach’s accuracy, we establish a ground-truth method and apply it to numerical simulation results
data sets. The technique used to trace the front features along the flow showed promising results, especially
with higher Reynolds numbers flows.
keywords: جریان های گرانشی | ساختارهای لوب و شکاف | روش های کامپیوتری | ویژگی ردیابی | Gravitycurrents | Lobesandcleftsstructures | Computervisionmethods | Featurepointtracking |
مقاله انگلیسی |
3 |
PortiK: A computer vision based solution for real-time automatic solid waste characterization – Application to an aluminium stream
PortiK: یک راه حل مبتنی بر بینایی کامپیوتری برای شناسایی خودکار زباله جامد در زمان واقعی - کاربرد در جریان آلومینیوم-2022 In Material Recovery Facilities (MRFs), recyclable municipal solid waste is turned into a precious commodity.
However, effective recycling relies on effective waste sorting, which is still a challenge to sustainable develop-
ment of our society. To help the operations improve and optimise their process, this paper describes PortiK, a
solution for automatic waste analysis. Based on image analysis and object recognition, it allows for continuous,
real-time, non-intrusive measurements of mass composition of waste streams. The end-to-end solution is detailed
with all the steps necessary for the system to operate, from hardware specifications and data collection to su-
pervisory information obtained by deep learning and statistical analysis. The overall system was tested and
validated in an operational environment in a material recovery facility.
PortiK monitored an aluminium can stream to estimate its purity. Aluminium cans were detected with 91.2%
precision and 90.3% recall, respectively, resulting in an underestimation of the number of cans by less than 1%.
Regarding contaminants (i.e. other types of waste), precision and recall were 80.2% and 78.4%, respectively,
giving an 2.2% underestimation. Based on five sample analyses where pieces of waste were counted and weighed
per batch, the detection results were used to estimate purity and its confidence level. The estimation error was
calculated to be within ±7% after 5 minutes of monitoring and ±5% after 8 hours. These results have demon-
strated the feasibility and the relevance of the proposed solution for online quality control of aluminium can
stream. keywords: امکانات بازیابی مواد | شناسایی مواد زائد جامد | یادگیری عمیق | شبکه عصبی عمیق | بینایی کامپیوتر | Material recovery facilities | MRF | Solid waste characterization | Deep-learning | Deep neural network | Computer vision |
مقاله انگلیسی |
4 |
Measurement Crosstalk Errors in Cloud-Based Quantum Computing
خطاهای متقابل اندازه گیری در محاسبات کوانتومی مبتنی بر ابر-2022 Quantum technologies available currently contain noise in general, often dubbed
noisy intermediate-scale quantum systems. We here present the verification of
noise in measurement readout errors in cloud-based quantum computing services,
IBMQ and Rigetti, by directly performing quantum detector tomography, and show
that there exist measurement crosstalk errors. We provide the characterization and
the quantification of noise in a quantum measurement of multiple qubits. We
remark that entanglement is found as a source of crosstalk errors in a
measurement of three qubits.
|
مقاله انگلیسی |
5 |
QuantMark: A Benchmarking API for VQE Algorithms
QuantMark: یک API معیار برای الگوریتم های VQE-2022 Thanks to the rise of quantum computers, many variations of the variational quantum eigensolver (VQE) have been proposed in recent times. This is a promising development for real quantum
algorithms, as the VQE is a promising algorithm that runs on current quantum hardware. However, the
popular method of comparing your algorithm versus a classical baseline in a small basis set is not meaningful
in the big picture. Moreover, many papers use a different molecular representation or a different quantum
computer to test their algorithms such that the used baselines are different between different papers. Thus,
it is almost impossible to compare the different algorithms to each other. As a solution, we have built a
benchmarking framework to standardize the VQE performance metrics, such that they can be analyzed more
easily. Using our framework, any researcher working on the VQE can easily test their own algorithms against
previous ones on the leaderboard without the need to reproduce previous work themselves.
INDEX TERMS: Algorithms | benchmarking and performance characterization | noisy intermediate-scale quantum algorithms and devices | quantum computing, | variational quantum eigensolver (VQE). |
مقاله انگلیسی |
6 |
Quantum Algorithm for Fidelity Estimation
الگوریتم کوانتومی برای برآورد وفاداری-2022 For two unknown mixed quantum states ρ and σ in
an N-dimensional Hilbert space, computing their fidelity F (ρ, σ)
is a basic problem with many important applications in quantum
computing and quantum information, for example verification
and characterization of the outputs of a quantum computer,
and design and analysis of quantum algorithms. In this paper,
we propose a quantum algorithm that solves this problem in
poly(log(N ), r, 1/ε) time, where r is the lower rank of ρ and
σ, and ε is the desired precision, provided that the purifications
of ρ and σ are prepared by quantum oracles. This algorithm
exhibits an exponential speedup over the best known algorithm
(based on quantum state tomography) which has time complexity
polynomial in N. keywords: Quantum computing | quantum algorithms | quantum fidelity | quantum states. |
مقاله انگلیسی |
7 |
The Quantum Multiple-Access Channel With Cribbing Encoders
کانال دسترسی چندگانه کوانتومی با رمزگذارهای Cribbing-2022 Communication over a quantum multiple-access
channel (MAC) with cribbing encoders is considered, whereby
Transmitter 2 performs a measurement on a system that is
entangled with Transmitter 1. Based on the no-cloning theorem,
perfect cribbing is impossible. This leads to the introduction of
a MAC model with noisy cribbing. In the causal and non-causal
cribbing scenarios, Transmitter 2 performs the measurement
before the input of Transmitter 1 is sent through the channel.
Hence, Transmitter 2’s cribbing may inflict a “state collapse”
for Transmitter 1. Achievable regions are derived for each
setting. Furthermore, a regularized capacity characterization is
established for robust cribbing, i.e. when the cribbing system
contains all the information of the channel input. Building on the
analogy between the noisy cribbing model and the relay channel,
a partial decode-forward region is derived for a quantum MAC
with non-robust cribbing. For the classical-quantum MAC with
cribbing encoders, the capacity region is determined with perfect
cribbing of the classical input, and a cutset region is derived for
noisy cribbing. In the special case of a classical-quantum MAC
with a deterministic cribbing channel, the inner and outer bounds
coincide.
Index Terms—Quantum communication | Shannon theory | multiple-access channel | cribbing | relay channel. |
مقاله انگلیسی |
8 |
Detection of moving objects using thermal imaging sensors for occupancy estimation
تشخیص اجسام متحرک با استفاده از سنسورهای تصویربرداری حرارتی برای تخمین اشغال-2022 Thermal imaging sensors have been increasingly integrated in a wide range of smart building
and Internet of Things systems. Low-resolution thermal imaging sensors are especially suitable
for applications that require non-intrusive monitoring with proper privacy protection. In this
paper, we present an in-depth investigation of a low-resolution thermal imaging sensor (i.e.,
Melexis MLX90640) focusing on algorithm design issues and solutions when detecting moving
objects. This type of sensors are designed to operate with a two-subpage chessboard reading
pattern, which gives rise to blob displacements across two subpages when target objects are
in motion. We have conducted systematic characterization of the sensor and demonstrated
issues through experimental measurements and analysis. We have also proposed a subpage
bilinear interpolation method and an enhanced sensor data preprocessing method for occupancy
estimation with moving objects. The performance of the proposed method is analyzed by
training and testing classification algorithms using two datasets collected with objects of
different moving speeds. Our performance results indicate that the proposed method could be
used for occupancy estimation in various smart building and Internet of Things applications.
keywords: طبقه بندی | حسگر مادون قرمز | اینترنت اشیا | یادگیری ماشین | برآورد اشغال | ساختمان های هوشمند | Classification | Infrared array sensor | Internet of Things | Machine learning | Occupancy estimation | Smart buildings |
مقاله انگلیسی |
9 |
Pathophysiology of Advanced Heart Failure
پاتوفیزیولوژی نارسایی پیشرفته قلب-2021 The pathophysiologyof advanced heart failure (HF) can be characterized asa complex interplay ofdysregulated mechanisms comprising impaired hemodynamics, neurohormonal and proinflammatory
activation, dysfunctional cardiorespiratory reflex control, and inadequate energy handling, all of which
ultimately lead to multiorgan dysfunction; at the later stage of HF, numerous comorbidities, whose underlying pathophysiologiesoftenamplifyHFprogression,tendtodominatetheclinicalpicture and therapeutic approach, and some of these mechanisms have been identified as therapeutic targets in HF.
Blockade of the renin-angiotensin-aldosterone system (preferably with an angiotensin receptorneprilysin inhibitor, but alternatively with angiotensin-converting enzyme inhibitors or angiotensin receptor blockers together with mineralocorticoid receptor antagonist) and sympathetic nervous system (with b-blockers) is now considered a fundamental element of pharmacologic therapy for all patients with advanced HF and reduced ejection fraction. Autonomic modulation (vagal nerve stimulation or baroreflex stimulation) in advanced HF tends to benefit functional variables (qualityof life,NewYork HeartAssociation class, 6-minutewalking distance), whereas improvement in the outcomes (total mortality, HF hospitalizations) still remains uncertain. Fluid overload with central and/or peripheral congestion characterize the clinical picture of advanced HF and is the main reason for hospital admission in these patients; distinction of different clinical patterns of congestion with different underlying mechanisms may improve the management of fluid overload in advanced HF. Recent clinicaltrials have shown that the following novel therapiestargeting impairedpathophysiologic pathways in advanced HF seem to improve patients’ outcomes: (1) vericiguat, a soluble guanylate cyclase stimulator; (2) omecamtiv mecarbil, a selective cardiac myosin activator; (3) sodium-glucose cotransporter 2 inhibitors; (4) ferric carboxymaltose, for patients with concomitant iron deficiency. Better understanding of the pathophysiology underlying HF progression may allow characterization of novel mechanisms that can be targeted in order to revert to a natural pathway of HF development and progression. |
مقاله انگلیسی |
10 |
Refraction seismic complementing electrical method in subsurface characterization for tunneling in soft pyroclastic, (a case study)
روش الکتریکی تکمیلی لرزهای شکست در شناسایی زیرسطحی برای تونلزنی در آذرآواری نرم (مطالعه موردی)-2021 The paper highlights the potential drawback of mapping a single geophysical property for subsurface characterization in potential engineering sites. As an exemplary case study, we present the geophysical survey conducted
along the surface projection of a tunnel in the quaternary volcanic terrain of the Main Ethiopia Rift. Initially,
geoelectrical mapping involving 12 Vertical Electrical Sounding (VES) and a short Electrical Resistivity Imaging
(ERI) line, was carried out. The 1D geoelectric model indicates that the formation resistivity at tunnel zone varies
from 50 to 500 Ω∙m. The corresponding value on 2D model, (>350 Ω∙m), is also compatible. Based on limited
available geological information, the geoelectric horizon was attributed to weathered and variably saturated
ignimbrite. Following unexpected encounter during excavation, refraction seismic and core drilling were carried
out for additional insights. Tomographic analysis of the seismic arrival times revealed that below a depth of 45 m,
(tunnel zone), the velocity substratum is marked by a range, (1200–1800 m/s). Such low velocity range is typical
of unconsolidated materials and, thus, cannot rationalize the geoelectrical attribution (ignimbrite). In a joint
interpretation, the likely formation that may justify the observed range of the electrical resistivity and low P-wave
velocity appears to be unwelded pyroclastic deposit (volcanic ash). Eventually, core samples from the tunnel zone
confirmed the presence of thick ash flow. However, the unexpected ground conditions encountered at the early
phase, due to insufficient information derived from a single geophysical parameter, caused extra cost and
considerable delay.
Keywords: Integrated approach | Refraction seismic | DC resistivity | Subsurface characterization | Main Ethiopian Rift (MER) |
مقاله انگلیسی |