ردیف  عنوان  نوع 

21 
Duality Between Source Coding With Quantum Side Information and ClassicalQuantum Channel Coding
دوگانگی بین کدگذاری منبع با اطلاعات جانبی کوانتومی و کدگذاری کانال کوانتومی کلاسیک2022 In this paper, we establish an interesting duality
between two different quantum informationprocessing tasks,
namely, classical source coding with quantum side information,
and channel coding over classicalquantum channels. The duality
relates the optimal error exponents of these two tasks, generalizing the classical results of Ahlswede and Dueck [IEEE
Trans. Inf. Theory, 28(3):430–443, 1982]. We establish duality
both at the operational level and at the level of the entropic
quantities characterizing these exponents. For the latter, the
duality is given by an exact relation, whereas for the former,
duality manifests itself in the following sense: an optimal coding
strategy for one task can be used to construct an optimal coding
strategy for the other task. Along the way, we derive a bound
on the error exponent for classicalquantum channel coding
with constant composition codes which might be of independent
interest. Finally, we consider the task of variablelength classical
compression with quantum side information, and a duality
relation between this task and classicalquantum channel coding
can also be established correspondingly. Furthermore, we study
the strong converse of this task, and show that the strong converse
property does not hold even in the i.i.d. scenario.
Index Terms: Duality  classicalquantum channel coding  quantum side information  error exponent  strong converse  SlepianWolf coding. 
مقاله انگلیسی 
22 
Moving towards intelligent telemedicine: Computer vision measurement of human movement
حرکت به سمت پزشکی از راه دور هوشمند: اندازه گیری بینایی کامپیوتری حرکت انسان2022 Background: Telemedicine video consultations are rapidly increasing globally, accelerated by the COVID
19 pandemic. This presents opportunities to use computer vision technologies to augment clinician visual
judgement because video cameras are so ubiquitous in personal devices and new techniques, such as
DeepLabCut (DLC) can precisely measure human movement from smartphone videos. However, the accuracy
of DLC to track human movements in videos obtained from laptop cameras, which have a much lower FPS, has
never been investigated; this is a critical gap because patients use laptops for most telemedicine consultations.
Objectives: To determine the validity and reliability of DLC applied to laptop videos to measure finger tapping,
a validated test of human movement.
Method: Sixteen adults completed fingertapping tests at 0.5 Hz, 1 Hz, 2 Hz, 3 Hz and at maximal speed. Hand
movements were recorded simultaneously by a laptop camera at 30 frames per second (FPS) and by Optotrak,
a 3D motion analysis system at 250 FPS. Eight DLC neural network architectures (ResNet50, ResNet101,
ResNet152, MobileNetV1, MobileNetV2, EfficientNetB0, EfficientNetB3, EfficientNetB6) were applied to the
laptop video and extracted movement features were compared to the ground truth Optotrak motion tracking.
Results: Over 96% (529/552) of DLC measures were within +∕−0.5 Hz of the Optotrak measures. At tapping
frequencies >4 Hz, there was progressive decline in accuracy, attributed to motion blur associated with
the laptop camera’s low FPS. Computer vision methods hold potential for moving us towards intelligent
telemedicine by providing human movement analysis during consultations. However, further developments
are required to accurately measure the fastest movements.
keywords: پزشکی از راه دور  ضربه زدن با انگشت  موتور کنترل  کامپیوتری  Telemedicine  DeepLabCut  Finger tapping  Motor control  Computer vision 
مقاله انگلیسی 
23 
Effects of Dynamical Decoupling and PulseLevel Optimizations on IBM Quantum Computers
اثرات جداسازی دینامیکی و بهینه سازی سطح پالس بر روی کامپیوترهای کوانتومی IBM2022 Currently available quantum computers are prone to errors. Circuit optimization and error
mitigation methods are needed to design quantum circuits to achieve better fidelity when executed on NISQ
hardware. Dynamical decoupling (DD) is generally used to suppress the decoherence error, and different DD
strategies have been proposed. Moreover, the circuit fidelity can be improved by pulselevel optimization,
such as creating hardwarenative pulseefficient gates. This article implements all the popular DD sequences
and evaluates their performances on IBM quantum chips with different characteristics for various wellknown quantum applications. Also, we investigate combining DD with the pulselevel optimization method
and apply them to QAOA to solve the maxcut problem. Based on the experimental results, we find that DD
can be a benefit for only certain types of quantum algorithms, while the combination of DD and pulselevel
optimization methods always has a positive impact. Finally, we provide several guidelines for users to learn
how to use these noise mitigation methods to build circuits for quantum applications with high fidelity on
IBM quantum computers.
INDEX TERMS: Error mitigation  noisy intermediatescale quantum (NISQ) hardware. 
مقاله انگلیسی 
24 
The physical and mechanical properties for flexible biomass particles using computer vision
خواص فیزیکی و مکانیکی ذرات زیست توده انعطاف پذیر با استفاده از بینایی کامپیوتری2022 The combustion and fluidization behavior of biomass depend on the physical properties (size, morphology, and
density) and mechanical performances (elastic modulus, Poisson’s ratio, tensile strength and failure strain), but
their quantitative models have rarely been focused in previous researchers. Hence, a static image measurement
for particle physical properties is studied. Combining the uniaxial tension and digital image correlation tech
nology, the dynamic image measurement method for the mechanical properties is proposed. The results indicate
that the average roundness, rectangularity, and sphericity of present biomass particles are 0.2, 0.4, and 0.16,
respectively. The equivalent diameter and density obey the skewed normal distribution. The tensile strength and
failure stress are sensitive to stretching rate, fiber size and orientation. The distribution intervals of elastic
modulus and Poisson’s ratio are 30–600 MPa and 0.25–0.307, respectively. The stress–strain curves obtained
from imaging experiments agree well with the result of finite element method. This study provides the operating
parameters for the numerical simulation of particles in the fluidized bed and combustor. Furthermore, the
computer vision measurement method can be extended to the investigations of fossil fuels. keywords: ذرات زیست توده  مشخصات فیزیکی  اجرای مکانیکی  تست کشش  آزمایش تصویربرداری  بینایی کامپیوتر  Biomass particle  Physical properties  Mechanical performances  Tensile testing  Imaging experiment  Computer vision 
مقاله انگلیسی 
25 
Efficient Construction of a Control Modular Adder on a CarryLookahead Adder Using RelativePhase Toffoli Gates
ساخت کارآمد یک جمع کننده ماژولار کنترلی بر روی جمع کننده CarryLookahead با استفاده از گیت های توفولی فاز نسبی2022 Control modular addition is a core arithmetic function, and we must consider the computational cost for actual quantum computers to realize efficient implementation. To achieve a low computational
cost in a control modular adder, we focus on minimizing KQ (where K is the number of logical qubits
required by the algorithm, and Q is the elementary gate step), defined by the product of the number of
qubits and the depth of the circuit. In this article, we construct an efficient control modular adder with small
KQ by using relativephase Toffoli gates in two major types of quantum computers: faulttolerant quantum
computers (FTQ) on the logical layer and noisy intermediatescale quantum computers (NISQ). We give
a more efficient construction compared with Van Meter and Itoh’s, based on a carrylookahead adder. In
FTQ, T gates incur heavy cost due to distillation, which fabricates ancilla for running T gates with high
accuracy but consumes a lot of especially prepared ancilla qubits and a lot of time. Thus, we must reduce the
number of T gates. We propose a new control modular adder that uses only 20% of the number of T gates
of the original. Moreover, when we take distillation into consideration, we find that we minimize KQT (the
product of the number of qubits and Tdepth) by running (n/√log n) T gates simultaneously. In NISQ,
cnot gates are the major error source. We propose a new control modular adder that uses only 35% of the
number of cnotgates of the original. Moreover, we show that the KQCX (the product of the number of qubits
and cnotdepth) of our circuit is 38% of the original. Thus, we realize an efficient control modular adder,
improving prospects for the efficient execution of arithmetic in quantum computers.
INDEX TERMS: Carrylookahead adder  control modular adder  faulttolerant quantum computers (FTQ)  noisy intermediatescale quantum computers (NISQ)  Shor’s algorithm. 
مقاله انگلیسی 
26 
Highaccuracy in the classification of butchery cut marks and crocodile tooth marks using machine learning methods and computer vision algorithms
دقت بالا در طبقه بندی علائم برش قصابی و علائم دندان تمساح با استفاده از روش های یادگیری ماشین و الگوریتم های بینایی کامپیوتری2022 Some researchers using traditional taphonomic criteria (groove shape and presence/absence of microstriations) have cast some doubts about the potential equifinality presented by crocodile tooth marks and
stone tool butchery cut marks. Other researchers have argued that multivariate methods can efficiently
separate both types of marks. Differentiating both taphonomic agents is crucial for determining the earliest evidence of carcass processing by hominins. Here, we use an updated machine learning approach
(discarding artificially bootstrapping the original imbalanced samples) to show that microscopic features
shaped as categorical variables, corresponding to intrinsic properties of mark structure, can accurately
discriminate both types of bone modifications. We also implement new deeplearning methods that
objectively achieve the highest accuracy in differentiating cut marks from crocodile tooth scores (99%
of testing sets). The present study shows that there are precise ways of differentiating both taphonomic
agents, and this invites taphonomists to apply them to controversial paleontological and archaeological
specimens.
keywords: تافونومی  علائم برش  علائم دندان  فراگیری ماشین  یادگیری عمیق  شبکه های عصبی کانولوشنال  قصابی  Taphonomy  Cut marks  Tooth marks  Machine learning  Deep learning  Convolutional neural networks  Butchery 
مقاله انگلیسی 
27 
Efficient Floating Point Arithmetic for Quantum Computers
محاسبات ممیز شناور کارآمد برای کامپیوترهای کوانتومی2022 One of the major promises of quantum computing is the realization of SIMD (single
instruction  multiple data) operations using the phenomenon of superposition. Since the dimension of the
state space grows exponentially with the number of qubits, we can easily reach situations where we pay less
than a single quantum gate per data point for dataprocessing instructions, which would be rather expensive
in classical computing. Formulating such instructions in terms of quantum gates, however, still remains
a challenging task. Laying out the foundational functions for more advanced dataprocessing is therefore a
subject of paramount importance for advancing the realm of quantum computing. In this paper, we introduce
the formalism of encoding so calledsemiboolean polynomials. As it turns out, arithmetic Z=2nZ ring
operations can be formulated as semiboolean polynomial evaluations, which allows convenient generation
of unsigned integer arithmetic quantum circuits. For arithmetic evaluations, the resulting algorithm has been
known as Fourierarithmetic. We extend this type of algorithm with additional features, such as ancillafree inplace multiplication and integer coefficient polynomial evaluation. Furthermore, we introduce a
tailormade method for encoding signed integers succeeded by an encoding for arbitrary floatingpoint
numbers. This representation of floatingpoint numbers and their processing can be applied to any quantum algorithm that performs unsigned modular integer arithmetic. We discuss some further performance
enhancements of the semi boolean polynomial encoder and finally supply a complexity estimation. The
application of our methods to a 32bit unsigned integer multiplication demonstrated a 90% circuit depth
reduction compared to carryripple approaches.
INDEX TERMS: Quantum arithmetic  quantum computing  floating point arithmetic. 
مقاله انگلیسی 
28 
Understanding the effect of surfactants on twophase flow using computer vision
درک اثر سورفکتانت ها بر جریان دو فازی با استفاده از بینایی کامپیوتر2022 The effect of surfactants on vertical gasliquid ﬂow is experimentally investigated in a 12.7 mm diameter
tube at conditions relevant to an ammoniawater bubble absorber. The characteristics of twophase ﬂow
are studied using an airwater mixture, both with and without the addition of 1octanol as the surfac
tant. Highspeed videography is used to study the ﬂow patterns and quantify interfacial areas and bubble
velocities. Novel computer visionbased methods are used to analyze and quantify these ﬂow parame
ters. The addition of 1octanol results in enhancement in interfacial area due to the prevention of bubble
coalescence leading to many small diameter bubbles. Measured values of interfacial area are compared
with predictions from correlations in the literature, and agreement and differences are interpreted and
discussed. The bubble velocity is measured by object tracking using the optical ﬂow method. Surfactants
lead to a decrease in bubble velocity and increase in the residence time. These are surmised to be due
to the shear stresses caused by the nonuniform concentration distribution of surfactant along the bub
ble surface. Overall, the addition of surfactants can lead to appreciable enhancement in heat and mass
transfer rates due to their effect on interfacial areas and residence times. keywords: سورفکتانت ها  جریان دو فازی  ناحیه رابط  سرعت  تقویت  تجسم جریان  Surfactants  Twophase ﬂow  Interfacial area  Velocity  Enhancement  Flow visualization 
مقاله انگلیسی 
29 
Efficient Hardware Implementation of Finite Field Arithmetic AB + C for Binary RingLWE Based PostQuantum Cryptography
اجرای سخت افزار کارآمد محاسبات میدان محدود AB + C برای رمزنگاری پس کوانتومی مبتنی بر حلقه باینریLWE2022 Postquantum cryptography (PQC) has gained significant attention from the community
recently as it is proven that the existing publickey cryptosystems are vulnerable to the attacks launched from
the welldeveloped quantum computers. The finite field arithmetic AB þ C, where A and C are integer polynomials and B is a binary polynomial, is the key component for the binary Ringlearningwitherrors (BRLWE)
based encryption scheme (a lowcomplexity PQC suitable for emerging lightweight applications). In this paper,
we propose a novel hardware implementation of the finite field arithmetic AB þ C through three stages of interdependent efforts: (i) a rigorous mathematical formulation process is presented first; (ii) an efficient hardware
architecture is then presented with detailed description; (iii) a thorough implementation has also been given
along with the comparison. Overall, (i) the proposed basic structure (u ¼ 1) outperforms the existing designs,
e.g., it involves 55.9% less areadelay product (ADP) than [13] for n ¼ 512; (ii) the proposed design also offers
very efficient performance in timecomplexity and can be used in many future applications.
INDEX TERMS: Binary ringlearningwitherrors  finite field arithmetic  FPGA platform  hardware design  postquantum cryptography 
مقاله انگلیسی 
30 
Tracking the northern seasonal cap retreat of mars using computer vision
ردیابی عقب نشینی کلاهک فصلی شمالی مریخ با استفاده از بینایی کامپیوتر2022 Using polar stereographic images from the Mars Color Imager (MARCI), we use Python
to autonomously track the Northern Polar Seasonal Cap (NPSC) recession from Mars Years (MY)
29 to MY 35 between Ls = 10° and Ls = 70°. We outline the cap and find an ellipse of best fit. We
then compare our results to previously published recession rates, that were manually tracked,
and find them to be consistent. Our process benefits from being automated, which increases
the speed of tracking and allows us to monitor the recession with higher Ls fidelity than past
studies. We find that most MYs have a local minimum recession rate at Ls = ~32° and a local
maximum at Ls = ~51°. We also find that MY 30 experiences a rapid latitude increasing event
that involves ~1° Ls of a rapid increase and ~5° Ls of slower recession, which then increases
above the interannual average rate. We interpret this to be the result of a major sublimation
driven by offpolar winds. We also discover divergent effects in the recession and size of the
NPSC following the MY 28 and MY 35 global dust storms. MY 29’s cap is significantly smaller
and retreats slower than the multiyear average, whereas MY 35’s cap is slighter larger and
retreats very close to the average. We hypothesize that the diverging behavior of the caps in
poststorm years can be a result of the differences in the date of onset and the duration of the
storms.

مقاله انگلیسی 