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ردیف | عنوان | نوع |
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1 |
Deployment-Ready Quantum Key Distribution Over a Classical Network Infrastructure in Padua
توزیع کلید کوانتومی آماده استقرار بر روی یک زیرساخت شبکه کلاسیک در پادوآ-2022 Current technological progress is driving Quantum
Key Distribution towards a commercial and worldwide scale
expansion. Its capability to deliver secure communication
regardless of the computational power of the attackers will be a
fundamental feature in the next generations of telecommunication
networks. Nevertheless, demonstrations of QKD implementation in a real operating scenario and their coexistence with the
classical telecom infrastructure are of fundamental importance
for reliable exploitation. Here we present a Quantum Key
Distribution application implemented over a classical fiber-based
infrastructure. We exploit a 50 MHz source at 1550 nm, a single 13
km-long fiber cable for both the quantum and the classical channel,
and a simplified receiver scheme with just one single-photon
detector. In this way, we achieve an error rate of approximately
2% and a secret key rate of about 1.7 kbps, thus demonstrating the
feasibility of low-cost and ready-to-use Quantum Key Distribution
systems compatible with standard classical infrastructure.
Index Terms: Classical channel | cryptography | fiber, FPGA | padua | POGNAC | quantum communication | quantum key distribution | qubit4sync | telecommunication. |
مقاله انگلیسی |
2 |
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 کامپیوتری-2022 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 |
3 |
Understanding the effect of surfactants on two-phase flow using computer vision
درک اثر سورفکتانت ها بر جریان دو فازی با استفاده از بینایی کامپیوتر-2022 The effect of surfactants on vertical gas-liquid flow is experimentally investigated in a 12.7 mm diameter
tube at conditions relevant to an ammonia-water bubble absorber. The characteristics of two-phase flow
are studied using an air-water mixture, both with and without the addition of 1-octanol as the surfac-
tant. High-speed videography is used to study the flow patterns and quantify interfacial areas and bubble
velocities. Novel computer vision-based methods are used to analyze and quantify these flow parame-
ters. The addition of 1-octanol 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 non-uniform 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 | Two-phase flow | Interfacial area | Velocity | Enhancement | Flow visualization |
مقاله انگلیسی |
4 |
Efficient Quantum State Preparation for the Cauchy Distribution Based on Piecewise Arithmetic
آماده سازی حالت کوانتومی کارآمد برای توزیع کوشی بر اساس حساب تکه ای-2022 The benefits of the quantum Monte Carlo algorithm heavily rely on the efficiency of the
superposition state preparation. So far, most reported Monte Carlo algorithms use the Grover–Rudolph state
preparation method, which is suitable for efficiently integrable distribution functions. Consequently, most reported works are based on log-concave distributions, such as normal distributions. However, non-log-concave
distributions still have many uses, such as in financial modeling. Recently, a new method was proposed
that does not need integration to calculate the rotation angle for state preparation. However, performing
efficient state preparation is still difficult due to the high cost associated with high precision and low error
in the calculation for the rotation angle. Many methods of quantum state preparation use polynomial Taylor
approximations to reduce the computation cost. However, Taylor approximations do not work well with
heavy-tailed distribution functions that are not bounded exponentially. In this article, we present a method
of efficient state preparation for heavy-tailed distribution functions. Specifically, we present a quantum
gate-level algorithm to prepare quantum superposition states based on the Cauchy distribution, which is a
non-log-concave heavy-tailed distribution. Our procedure relies on a piecewise polynomial function instead
of a single Taylor approximation to reduce computational cost and increase accuracy. The Cauchy distribution is an even function, so the proposed piecewise polynomial contains only a quadratic term and a constant
term to maintain the simplest approximation of an even function. Numerical analysis shows that the required
number of subdomains increases linearly as the approximation error decreases exponentially. Furthermore,
the computation complexity of the proposed algorithm is independent of the number of subdomains in the
quantum implementation of the piecewise function due to quantum parallelism. An example of the proposed
algorithm based on a simulation conducted in Qiskit is presented to demonstrate its capability to perform
state preparation based on the Cauchy distribution.
INDEX TERMS: Algorithms | gate operations | quantum computing. |
مقاله انگلیسی |
5 |
Prediction of total volatile basic nitrogen (TVB-N) and 2-thiobarbituric acid (TBA) of smoked chicken thighs using computer vision during storage at 4 °C
پیشبینی کل نیتروژن بازی فرار (TVB-N) و اسید ۲-تیوباربیتوریک (TBA) ران مرغ دودی با استفاده از بینایی رایانه در طول نگهداری در دمای ۴ درجه سانتیگراد-2022 As the traditional indicators of freshness measurement of meat products, TVB-N and TBA have the disadvantage
of time-consuming, labor-intensive and destructive to the sample. The objective of this study was to investigate
the possibility of computer vision techniques to visualize the variation of TVB-N and TBA during the storage of
smoked chicken thighs. In this study, freshness indicators (TVB-N and TBA) and images of smoked chicken thighs
were obtained simultaneously every 3 days during storage at 4 ◦C. Then, the RGB color space was converted to
HSI and L*a*b* color spaces by color conversion algorithm, and the color parameters (RGB, HSI and L*a*b*)
were correlated with TVB-N and TBA, respectively, for establishing multiple regression models. Finally, visu-
alization maps of the spoilage were established by applying the multiple regression model to each pixel in the
image. The results showed that the multiple linear regression models of TBA and TVB-N based on the color
parameters L*, a*, I, S and R were well correlated (R 2 = 0.993 for TBA and R 2 = 0.970 for TVB-N). Distribution
maps of TBA and TVB-N changed color gradually from blue to red during storage, respectively. In conclusion, this
study demonstrated that distribution maps can be employed as a rapid, objective, and non-destructive method to
predict the TBA and TVB-N values of smoked chicken thighs during storage. keywords: ران مرغ دودی | بینایی کامپیوتر | خنکی | TVB-N | TBA | Smoked chicken thigh | Computer vision | Freshness |
مقاله انگلیسی |
6 |
Hybrid CV-DV Quantum Communications and Quantum Networks
ارتباطات کوانتومی ترکیبی CV-DV و شبکه های کوانتومی-2022 Quantum information processing (QIP) opens new opportunities for high-performance
computing, high-precision sensing, and secure communications. Among various QIP features, the entanglement is a unique one. To take full advantage of quantum resources, it will be necessary to interface quantum
systems based on different encodings of information both discrete and continuous. The goal of this paper
is to lay the groundwork for the development of a robust and efficient hybrid continuous variable-discrete
variable (CV-DV) quantum network, enabling the distribution of a large number of entangled states over
hybrid DV-CV multi-hop nodes in an arbitrary topology. The proposed hybrid quantum communication
network (QCN) can serve as the backbone for a future quantum Internet, thus providing extensive longterm impacts on the economy and national security through QIP, distributed quantum computing, quantum
networking, and distributed quantum sensing. By employing the photon addition and photon subtraction
modules we describe how to generate the hybrid DV-CV entangled states and how to implement their
teleportation and entanglement swapping through entangling measurements. We then describe how to
extend the transmission distance between nodes in hybrid QCN by employing macroscopic light states,
noiseless amplification, and reconfigurable quantum LDPC coding. We further describe how to enable
quantum networking and distributed quantum computing by employing the deterministic cluster state
concept introduced here. Finally, we describe how the proposed hybrid CV-DV states can be used in an
entanglement-based hybrid QKD.
INDEX TERMS: Entanglement | photon addition | photon subtraction | hybrid CV-DV entangled states | teleportation | entanglement swapping | entanglement distribution | hybrid quantum communication networks | entanglement-based hybrid QKD. |
مقاله انگلیسی |
7 |
Incompressibility of Classical Distributions
تراکم ناپذیری توزیع های کلاسیک-2022 In blind compression of quantum states, a sender
Alice is given a specimen of a quantum state ρ drawn from
a known ensemble (but without knowing what ρ is), and she
transmits sufficient quantum data to a receiver Bob so that
he can decode a near perfect specimen of ρ. For many such
states drawn iid from the ensemble, the asymptotically achievable
rate is the number of qubits required to be transmitted per
state. The Holevo information is a lower bound for the achievable rate, and is attained for pure state ensembles, or in the
related scenario of entanglement-assisted visible compression of
mixed states wherein Alice knows what state is drawn. In this
paper, we prove a general and robust lower bound on the
achievable rate for ensembles of classical states, which holds
even in the least demanding setting when Alice and Bob share
free entanglement and a constant per-copy error is allowed.
We apply the bound to a specific ensemble of only two states
and prove a near-maximal separation (saturating the dimension
bound in leading order) between the best achievable rate and
the Holevo information for constant error. This also implies
that the ensemble is incompressible – compression does not
reduce the communication cost by much. Since the states are
classical, the observed incompressibility is not fundamentally
quantum mechanical. We lower bound the difference between
the achievable rate and the Holevo information in terms of
quantitative limitations to clone the specimen or to distinguish
the two classical states.
Index Terms— Blind compression | classical distributions | quantum states | free entanglement | Holevo information | constant error | incompressibility |
مقاله انگلیسی |
8 |
Computer vision for solid waste sorting: A critical review of academic research
بینایی کامپیوتری برای تفکیک زباله جامد: مروری انتقادی تحقیقات دانشگاهی-2022 Waste sorting is highly recommended for municipal solid waste (MSW) management. Increasingly, computer
vision (CV), robotics, and other smart technologies are used for MSW sorting. Particularly, the field of CV-
enabled waste sorting is experiencing an unprecedented explosion of academic research. However, little atten-
tion has been paid to understanding its evolvement path, status quo, and prospects and challenges ahead. To
address the knowledge gap, this paper provides a critical review of academic research that focuses on CV-enabled
MSW sorting. Prevalent CV algorithms, in particular their technical rationales and prediction performance, are
introduced and compared. The distribution of academic research outputs is also examined from the aspects of
waste sources, task objectives, application domains, and dataset accessibility. The review discovers a trend of
shifting from traditional machine learning to deep learning algorithms. The robustness of CV for waste sorting is
increasingly enhanced owing to the improved computation powers and algorithms. Academic studies were un-
evenly distributed in different sectors such as household, commerce and institution, and construction. Too often,
researchers reported some preliminary studies using simplified environments and artificially collected data.
Future research efforts are encouraged to consider the complexities of real-world scenarios and implement CV in
industrial waste sorting practice. This paper also calls for open sharing of waste image datasets for interested
researchers to train and evaluate their CV algorithms. keywords: زباله جامد شهری | تفکیک زباله | بینایی ماشین | تشخیص تصویر | یادگیری ماشین | یادگیری عمیق | Municipal solid waste | Waste sorting | Computer vision | Image recognition | Machine learning | Deep learning |
مقاله انگلیسی |
9 |
Polarization-Based Quantum Key Distribution Encoder and Decoder on Silicon Photonics
رمزگذار و رمزگشای توزیع کلید کوانتومی مبتنی بر پلاریزاسیون در فوتونیک سیلیکون-2022 Private and secure communication is an indispensable
part of the government and individual activities. With the everevolving large-scale of quantum computing, traditional public-key
cryptography is severely threatened since its security only relies
on the computational complexity of certain mathematical functions. Quantum key distribution (QKD), ascribed to its security
based on the inviolability of physics laws, provides an absolutely
information-secure solution for the future extensive communication encrypting. Herein this Letter, we proposed a simplified and
reconfigurable silicon photonics encoder using a pass-block architecture and experimentally demonstrated its performance with a
specialized silicon photonics decoder for high-speed quantum key
distribution in polarization-based decoy-state BB84 protocol. We
achieved an estimated asymptotic secret key rate of 868 kbps with
measured quantum bit error rate (QBER) of 0.90% (Z base) and
1.34% (X base) over 20 km emulated fiber link. This work further
advances the process of applying QKD using silicon photonics
devices into the future secure telecommunication network.
Index Terms: Quantum key distribution (QKD) | silicon photonics. |
مقاله انگلیسی |
10 |
Quantum-Inspired Power System Reliability Assessment
ارزیابی قابلیت اطمینان سیستم قدرت با الهام از کوانتومی-2022 To enable an in-depth study of power system operation and planning, the assessment of standard reliability indices
is inevitable. The Monte Carlo Simulation (MCS) approach is
a broadly used method in replacing the analytical methods in
reliability indices assessment. The accuracy of MCS, however,
highly depends on the sampling size, and hence, a complicated
system with large number of components requires a large sampling
size and daunting computational effort. To address this shortcoming, this paper attempts to take advantage of potentials of the
quantum computing (QC) for power system reliability assessment
by realizing the following contributions: 1) an innovative quantum
model designed for reliability assessment; 2) a quantum circuit
that achieves the quadratic speed up compared to the classical
MCS method; 3) an efficient quantum amplitude estimation
(QAE) algorithm to accurately evaluate the reliability indices.
The accuracy and efficacy of the quantum reliability method are
extensively verified and demonstrated on both radial and mesh
distribution systems.
Index Terms—Quantum computing | Quantum amplitude estimation | Reliability assessment | Distribution systems |
مقاله انگلیسی |