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11 |
Development of an Undergraduate Quantum Engineering Degree
توسعه یک مدرک کارشناسی مهندسی کوانتوم-2022 Quantum computing, communications, sensing, and simulations are radically transformative
technologies, with great potential to impact industries and economies. Worldwide, national governments,
industries, and universities are moving to create a new class of workforce—the Quantum Engineers. Demand
for such engineers is predicted to be in the tens of thousands within a five-year timescale, far exceeding the
rate at which the world’s universities can produce Ph.D. graduates in the discipline. How best to train this
next generation of engineers is currently a matter of debate. Quantum mechanics—long a pillar of traditional
physics undergraduate degrees—must now be merged with traditional engineering offerings. This article
discusses the history, development, and the first year of operation of the world’s first undergraduate degree
in quantum engineering to be grown out of an engineering curriculum. The main purpose of this article is
to inform the wider discussion, now being held by many institutions worldwide, on how best to formally
educate the Quantum Engineer.
INDEX TERMS: Degree | education | engineering | quantum | undergraduate. |
مقاله انگلیسی |
12 |
IoT-based Prediction Models in the Environmental Context: A Systematic Literature Review
مدلهای پیشبینی مبتنی بر اینترنت اشیا در زمینه محیطی: مروری بر ادبیات سیستماتیک-2022 Undoubtedly, during the last years climate change has alerted the research community of the natural environment sector. Furthermore, the advent of Internet of Things (IoT) paradigm has enhanced the research activity in the environmental field offering low-cost sensors. Moreover, artificial
intelligence and more specifically, statistical and machine learning methodologies have proved their predictive power in many disciplines and various
real-world problems. As a result of the aforementioned, many scientists of
the environmental research field have performed prediction models exploiting
the strength of IoT data. Hence, insightful information could be extracted
from the review of these research works and for this reason, a Systematic
Literature Review (SLR) is introduced in the present manuscript in order to
summarize the recent studies of the field under specific rules and constraints.
From the SLR, 54 primary studies have been extracted during 2017-2021.
The analysis showed that many IoT-based prediction models have been applied the previous years in 10 different environmental issues, presenting in
the majority of the primary studies promising results.
keywords: Natural Environment | Internet of Things | Prediction Models | Systematic Literature Review |
مقاله انگلیسی |
13 |
Direct Quantum Communications in the Presence of Realistic Noisy Entanglement
ارتباطات کوانتومی مستقیم در حضور درهم تنیدگی پر سر و صدا واقعی-2022 To realize the Quantum Internet, quantum
communications require pre-shared entanglement among quantum nodes. However, both the generation and the distribution
of the maximally-entangled quantum states are inherently contaminated by quantum decoherence. Conventionally, the quantum
decoherence is mitigated by performing the consecutive steps of
quantum entanglement distillation followed by quantum teleportation. However, this conventional approach imposes a long delay.
To circumvent this impediment, we propose a novel quantum
communication scheme relying on realistic noisy pre-shared
entanglement, which eliminates the sequential steps imposing
delay in the standard approach. More precisely, our proposed
scheme can be viewed as a direct quantum communication
scheme capable of improving the quantum bit error ratio (QBER)
of the logical qubits despite relying on realistic noisy pre-shared
entanglement. Our performance analysis shows that the proposed
scheme offers competitive QBER, yield, and goodput compared
to the existing state-of-the-art quantum communication schemes,
despite requiring fewer quantum gates.
Index Terms: Quantum communication | quantum entanglement | quantum error-correction | quantum stabilizer codes | Quantum Internet. |
مقاله انگلیسی |
14 |
IoTracker: A probabilistic event tracking approach for data-intensive IoT Smart Applications
IoTracker: یک رویکرد ردیابی رویداد احتمالی برای برنامههای هوشمند اینترنت اشیا با داده های فشرده-2022 Smart Applications for cities, industry, farming and healthcare use Internet of Things (IoT)
approaches to improve the general quality. A dependency on smart applications implies that any
misbehavior may impact our society with varying criticality levels, from simple inconveniences
to life-threatening dangers. One critical challenge in this area is to overcome the side effects
caused by data loss due to failures in software, hardware, and communication systems, which
may also affect data logging systems. Event traceability and auditing may be impaired when an
application makes automated decisions and the operating log is incomplete. In an environment
where many events happen automatically, an audit system must understand, validate, and
find the root causes of eventual failures. This paper presents a probabilistic approach to track
sequences of events even in the face of logging data loss using Bayesian networks. The results of
the performance analysis with three smart application scenarios show that this approach is valid
to track events in the face of incomplete data. Also, scenarios modeled with Bayesian subnets
highlight a decreasing complexity due to this divide and conquer strategy that reduces the
number of elements involved. Consequently, the results improve and also reveal the potential
for further advancement.
Keywords: Smart applications | Event tracker | Probabilistic tracker | Bayesian networks |
مقاله انگلیسی |
15 |
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 |
16 |
iRestroom : A smart restroom cyberinfrastructure for elderly people
iRestroom: زیرساخت سایبری سرویس بهداشتی هوشمند برای افراد مسن-2022 According to a report by UN and WHO, by 2030 the number of senior people (age over 65) is
projected to grow up to 1.4 billion, and which is nearly 16.5% of the global population. Seniors
who live alone must have their health state closely monitored to avoid unexpected events (such as
a fall). This study explains the underlying principles, methodology, and research that went into
developing the concept, as well as the need for and scopes of a restroom cyberinfrastructure
system, that we call as iRestroom to assess the frailty of elderly people for them to live a
comfortable, independent, and secure life at home. The proposed restroom idea is based on the
required situations, which are determined by user study, socio-cultural and technological trends,
and user requirements. The iRestroom is designed as a multi-sensory place with interconnected
devices where carriers of older persons can access interactive material and services throughout
their everyday activities. The prototype is then tested at Texas A&M University-Kingsville. A Nave
Bayes classifier is utilized to anticipate the locations of the sensors, which serves to provide a
constantly updated reference for the data originating from numerous sensors and devices installed
in different locations throughout the restroom. A small sample of pilot data was obtained, as well
as pertinent web data. The Institutional Review Board (IRB) has approved all the methods. keywords: اینترنت اشیا | حسگرها | نگهداری از سالمندان | سیستم های هوشمند | یادگیری ماشین | IoT | Sensors | Elder Care | Smart Systems | Machine Learning |
مقاله انگلیسی |
17 |
DOPIV: Post-Quantum Secure Identity-Based Data Outsourcing with Public Integrity Verification in Cloud Storage
DOPIV: برون سپاری داده مبتنی بر هویت امن پس از کوانتومی با تأیید صحت عمومی در فضای ذخیره سازی ابری-2022 Public verification enables cloud users to employ a third party auditor (TPA) to check the data integrity. However, recent
breakthrough results on quantum computers indicate that applying quantum computers in clouds would be realized. A majority of existing
public verification schemes are based on conventional hardness assumptions, which are vulnerable to adversaries equipped with
quantum computers in the near future. Moreover, new security issues need to be solved when an original data owner is restricted or
cannot access the remote cloud server flexibly. In this paper, we propose an efficient identity-based data outsourcing with public integrity
verification scheme (DOPIV) in cloud storage. DOPIV is designed on lattice-based cryptography, which achieves post-quantum security.
DOPIV enables an original data owner to delegate a proxy to generate the signatures of data and outsource them to the cloud server.
Any TPA can perform data integrity verification efficiently on behalf of the original data owner, without retrieving the entire data set.
Additionally, DOPIV possesses the advantages of being identity-based systems, avoiding complex certificate management procedures.
We provide security proofs of DOPIV in the random oracle model, and conduct a comprehensive performance evaluation to show that
DOPIV is more practical in post-quantum secure cloud storage systems.
Index Terms: Cloud storage | public verification | lattice-based cryptography | identity-based data outsourcing | post-quantum security |
مقاله انگلیسی |
18 |
Is the Internet of Things a helpful employee? An exploratory study of discourses of Canadian farmers
آیا اینترنت اشیا یک کارمند مفید است؟ بررسی اکتشافی گفتمان های کشاورزان کانادایی-2022 The increasing global population and the growing demand for high-quality products have called
for the modernization of agriculture. “Internet of Things” is one of the technologies that is pre-
dicted to offer many solutions. We conducted a discourse analysis of 19 interviews with farmers in
Ontario, Canada, asking them to describe their experience of working with IoT and related
technologies. One main discourse with two opposing tendencies was identified: farmers recognize
their relationship with IoT and related technology and view technology as a kind of “employee”,
but some tend to emphasize (1) an optimistic view which is discourse of technology is a “Helpful
Employee”; while others tend to emphasize (2) a pessimistic view which is a discourse of tech-
nology is an “Untrustworthy Employee”. We examine these tendencies in the light of the literature
on organizational behavior and identify potential outcomes of these beliefs. The results suggest
that a farmer’s style of approaching technology can be assessed on a similar scale as managers’
view of their employees and provide a framework for further research. keywords: فناوری اینترنت اشیا | کشاورزی | تحلیل گفتمان | سبک استفاده از تکنولوژی | Internet of things technology | Agriculture | Discourse analysis | Style of use of technology |
مقاله انگلیسی |
19 |
DQRA: Deep Quantum Routing Agent for Entanglement Routing in Quantum Networks
DQRA: عامل مسیریابی کوانتومی عمیق برای مسیریابی درهم تنیده در شبکه های کوانتومی-2022 Quantum routing plays a key role in the development of the next-generation network system. In
particular, an entangled routing path can be constructed with the help of quantum entanglement and swapping
among particles (e.g., photons) associated with nodes in the network. From another side of computing,
machine learning has achieved numerous breakthrough successes in various application domains, including
networking. Despite its advantages and capabilities, machine learning is not as much utilized in quantum
networking as in other areas. To bridge this gap, in this article, we propose a novel quantum routing model
for quantum networks that employs machine learning architectures to construct the routing path for the
maximum number of demands (source–destination pairs) within a time window. Specifically, we present a
deep reinforcement routing scheme that is called Deep Quantum Routing Agent (DQRA). In short, DQRA
utilizes an empirically designed deep neural network that observes the current network states to accommodate
the network’s demands, which are then connected by a qubit-preserved shortest path algorithm. The training
process of DQRA is guided by a reward function that aims toward maximizing the number of accommodated
requests in each routing window. Our experiment study shows that, on average, DQRA is able to maintain a
rate of successfully routed requests at above 80% in a qubit-limited grid network and approximately 60% in
extreme conditions, i.e., each node can be repeater exactly once in a window. Furthermore, we show that the
model complexity and the computational time of DQRA are polynomial in terms of the sizes of the quantum
networks.
INDEX TERMS: Deep learning | deep reinforcement learning (DRL) | machine learning | next-generation network | quantum network routing | quantum networks. |
مقاله انگلیسی |
20 |
Dual-Frequency Quantum Phase Estimation Mitigates the Spectral Leakage of Quantum Algorithms
تخمین فاز کوانتومی دو فرکانس برای کاهش نشت طیفی الگوریتمهای کوانتومی-2022 Quantum phase estimation is an important component in diverse quantum algorithms. However, it suffers from
spectral leakage, when the reciprocal of the record length is not an
integer multiple of the unknown phase, which incurs an accuracy
degradation. For the existing single-sample estimation scheme,
window-based methods have been proposed for spectral leakage
mitigation. As a further advance, we propose a dual-frequency estimator, which asymptotically approaches the Cramér-Rao bound,
when multiple samples are available. Numerical results show that
the proposed estimator outperforms the existing window-based
methods, when the number of samples is sufficiently high.
Index Terms: Algorithmic error mitigation | dual-frequency estimator | quantum algorithms | quantum phase estimation. |
مقاله انگلیسی |