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ردیف | عنوان | نوع |
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1 |
Duality Between Source Coding With Quantum Side Information and Classical-Quantum Channel Coding
دوگانگی بین کدگذاری منبع با اطلاعات جانبی کوانتومی و کدگذاری کانال کوانتومی کلاسیک-2022 In this paper, we establish an interesting duality
between two different quantum information-processing tasks,
namely, classical source coding with quantum side information,
and channel coding over classical-quantum 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 classical-quantum channel coding
with constant composition codes which might be of independent
interest. Finally, we consider the task of variable-length classical
compression with quantum side information, and a duality
relation between this task and classical-quantum 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 | classical-quantum channel coding | quantum side information | error exponent | strong converse | Slepian-Wolf coding. |
مقاله انگلیسی |
2 |
Assessing surface drainage conditions at the street and neighborhood scale: A computer vision and flow direction method applied to lidar data
ارزیابی شرایط زهکشی سطحی در مقیاس خیابان و محله: یک روش دید کامپیوتری و جهت جریان اعمال شده به داده های لیدار-2022 Surface drainage at the neighborhood and street scales plays an important role in conveying stormwater and
mitigating urban flooding. Surface drainage at the local scale is often ignored due to the lack of up-to-date fine-
scale topographical information. This paper addresses this issue by providing a novel method for evaluating
surface drainage at the neighborhood and street scales based on mobile lidar (light detection and ranging)
measurements. The developed method derives topographical properties and runoff accumulation by applying a
semantic segmentation (SS) model (a computer vision technique) and a flow direction model (a hydrology
technique) to lidar data. Fifty lidar images representing 50 street blocks were used to train, validate, and test the
SS model. Based on the test dataset, the SS model has 80.3% IoU and 88.5% accuracy. The results suggest that the
proposed method can effectively evaluate surface drainage conditions at both the neighborhood and street scales
and identify problematic low points that could be susceptible to water ponding. Municipalities and property
owners can use this information to take targeted corrective maintenance actions. keywords: تقسیم بندی معنایی | جهت جریان | لیدار موبایل | زهکشی سطحی | زیرساخت های زهکشی | Semantic segmentation | Flow direction | Mobile lidar | Surface drainage | Drainage infrastructure |
مقاله انگلیسی |
3 |
Hash Function Based on Controlled Alternate Quantum Walks With Memory (September 2021)
عملکرد هش بر اساس راه رفتن کوانتومی جایگزین کنترل شده با حافظه (سپتامبر 2021)-2022 We propose a Quantum inspired Hash Function using controlled alternate quantum walks with
Memory on cycles (QHFM), where the jth message bit decides whether to run quantum walk with one-step
memory or to run quantum walk with two-step memory at the jth time step, and the hash value is calculated
from the resulting probability distribution of the walker. Numerical simulation shows that the proposed hash
function has near-ideal statistical performance and is at least on a par with the state-of-the-art hash functions
based on quantum walks in terms of sensitivity of hash value to message, diffusion and confusion properties,
uniform distribution property, and collision resistance property; and theoretical analysis indicates that the
time and space complexity of the new scheme are not greater than those of its peers. The good performance
of QHFM suggests that quantum walks that differ not only in coin operators but also in memory lengths can
be combined to build good hash functions, which, in turn, enriches the construction of controlled alternate
quantum walks.
INDEX TERMS: Controlled alternate quantum walks (CAQW) | hash function | quantum walks with memory (QWM) | statistical properties | time and space complexity. |
مقاله انگلیسی |
4 |
Learning Quantum Drift-Diffusion Phenomenon by Physics-Constraint Machine Learning
یادگیری پدیده رانش کوانتومی- انتشار با یادگیری ماشین محدودیت فیزیک-2022 Recently, deep learning (DL) is widely used to
detect physical phenomena and has obtained encouraging results.
Several works have shown that it can learn quantum phenomenon. Subsequently, quantum machine learning (QML) has
been paid more attention by academia and industry. Quantum
drift-diffusion (QDD) is a commonplace physical phenomenon,
which is a macroscopic description of electrons and holes in
a semiconductor. They are commonly used to attain an understanding of the property of semiconductor devices in physics
and engineering. We are motivated by the relaxation-time limit
from the quantum-Navier-Stokes-Poisson system (QNSP) to the
QDD equation and the existence of finite energy weak solutions
to the QDD equation has been proved. Therefore, in this work,
the quantum drift-diffusion learning neural network (QDDLNN)
is proposed to investigate the quantum drift phenomena from
limited observations. Furthermore, a piece of numerical evidence
is found that the NNs can describe quantum transport phenomena by simulating the quantum confinement transport equationquantum Navier-Stokes equation.
Index Terms: Quantum machine learning | quantum drift diffusion | physical-information learning | quantum transport | quantum fluid model. |
مقاله انگلیسی |
5 |
Measurement-Induced Boolean Dynamics for Open Quantum Networks
دینامیک بولی ناشی از اندازه گیری برای شبکه های کوانتومی باز-2022 In this paper, we study the recursion corresponding
to the measurement outcomes for open quantum networks
under sequential measurements. Open quantum networks are
networked quantum subsystems (e.g., qubits) with the state evolutions described by a continuous Lindblad master equation. When
measurements are performed sequentially along such continuous
dynamics, the quantum network states undergo probabilistic
jumps and the corresponding measurement outcomes can be
described by a vector of probabilistic Boolean variables. The
induced recursion of the Boolean vectors forms a probabilistic
Boolean network. First of all, we show that the state transition
of the induced Boolean network can be explicitly represented
through a real version of the master equation. Next, when the
open quantum dynamics are relaxing in the sense that they
possess a unique equilibrium as a global attractor, structural
properties including absorbing states, reducibility, and periodicity for the induced Boolean network are direct consequences
of this relaxing property. Particularly, we show that generically,
relaxing quantum dynamics lead to irreducible and aperiodic
chains for the measurement outcomes. Finally, we show that for
quantum consensus networks which are a type of non-relaxing
open quantum network dynamics, the communication classes of
the measurement-induced Boolean networks are encoded in the
quantum Laplacian of the underlying interaction graph.
Index Terms: quantum networks | open quantum systems | quantum measurements | Boolean networks |
مقاله انگلیسی |
6 |
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 |
7 |
Multi-Ontology Mapping Generative Adversarial Network in Internet of Things for Ontology Alignment
نگاشت چند هستی شناسی شبکه متخاصم مولد در اینترنت اشیا برای تراز هستی شناسی-2022 On the Semantic web, ontologies are thought to be the remedy to data heterogeneity, and
correlating ontologies is a highly effective technique. Although the use of representation
learning approaches to a variety of applications has showed significant promise, they have had
little effect on the issue of ontology matching and classification. In order to establish
alignments between two ontologies, this research presents the Multi-Ontology Mapping
Generative Adversarial Network in Internet of Things (MOMGANI). For the instance of
ontology mapping, we suggest using a two-system representation learning network consisting
of a Generator and Discriminator. The Generator applies a probabilistic softmax classifier to
the different Name, Label, Comments, Properties, Instance descriptions, concept
characteristics, and the neighbourhood concepts for each of the ontologys properties. In order
to support the assertions that the Generator has generated, the Discriminator network employs
a novel Bidirectional Long Short-Term Memory (Bi-LSTM network) with an Ontology
Attention mechanism enhanced by the concept’s descriptions. As a result, both systems are in
a feedback mechanism where they can learn from one another. The system will produce a set
of triples that list all the associated concepts from various ontologies as its final product.
Domain experts will review these triples outside of the band to ensure that only true concepts
and triples are chosen for the alignment. In comparison to using the ontologies separately, the
aligned ontology enables extended querying and inference across related ontologies and
domains. Considering metrics like recall, precision, and F-measure, the experimental
evaluation was performed utilizing the datasets for classes alignment, property alignment, and
instances alignment. The proposed architecture provides a recall, precision, and F-measure of
0.92, 0.99, and 0.83 respectively which reveals that this model outperforms the traditional
methods.
Keywords: Generative adversarial network | Ontology alignment | IoT and OntoGenerator and OntoLSTM |
مقاله انگلیسی |
8 |
Code as constitution: The negotiation of a uniform accounting code for U:S: railway corporations and the moral justification of stakeholder claims on wealth
کد به عنوان قانون اساسی: مذاکره در مورد یک کد حسابداری یکسان برای شرکت های راه آهن ایالات متحده و توجیه اخلاقی ادعاهای سهامداران در مورد ثروت-2021 Economic historians of the United States identify the railway industry of the nineteenth century as the birthplace of existing institutions of corporate finance, law, and labor relations (Chandler, 1990; Perrow, 2002; Thomas, 2011). This paper shows that the
railway industry was also an important arena for the standardization of corporate accounting in the U. S., and that railway accountants
played a significant role in the federal government’s earliest attempts to regulate large corporations. The paper describes how railway
accountants worked with the first federal regulator of corporations, the Interstate Commerce Commission (ICC), created by act of
Congress in 1887, to create a uniform accounting code for the railway industry. This code was designed by the prominent economist
and ICC statistician Henry Carter Adams to serve as a mechanism for the administrative supervision of railway corporations: a
“cognitive equivalent of a constitution” (Starr, 1987, p. 53) that would promote economic democracy by protecting the property rights
of non-controlling stakeholders in the railway system: shippers who used the trains to send goods to markets, long-term investors in
railway shares and bonds, consumers of shipped goods, and members of the communities that the railways connected and employed.
Railway accountants working with Adams created the rules for answering “potentially divisive questions of fact” (Starr, 1987, p. 53)
about who contributed how much to the assets and profits of the railway corporation, and thus provided moral justification for how
claims on those assets and profits were distributed.
|
مقاله انگلیسی |
9 |
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 |
10 |
Tax accounting research on corporate investment: A discussion of the impact of IP box regimes on the M&A market by Bradley, Ruf, and Robinson (2021)
تحقیقات حسابداری مالیاتی در مورد سرمایه گذاری شرکت ها: بحث در مورد تاثیر رژیم های IP جعبه در M & Amp؛ بازار توسط برادلی، روف و رابینسون (2021)-2021 In The Impact of IP Box Regimes on the M&A Market, Bradley, Robinson, and Ruf (2021) study
whether and to what extent tax incentives for intellectual property affect corporate M&A
investment activity. The paper finds that a 1.0 percentage point tax benefit leads to a 1.2%
increase in M&A activity in a country after the implementation of an Intellectual Property
(IP) Box tax regime. Results vary based on country-specific IP Box requirements, as well as
firm-specific characteristics such as patent ownership and acquirer nationality. My discussion offers more cautious interpretations of the empirical results related to statutory
country-specific requirements of these regimes and raises concerns about the type and
timing of firm responses. More generally, I outline how this paper and other work by tax
researchers in Accounting contributes to the broader literature studying the relation between corporate tax policies and investment activity.
keywords: جعبه IP | جعبه نوآوری | سرمایه گذاری | مالیات | IP box | Innovation box | Investment | Tax |
مقاله انگلیسی |