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ردیف | عنوان | نوع |
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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 |
Eigen-Spectrum Estimation and Source Detection in a Massive Sensor Array Based on Quantum Assisted Hamiltonian Simulation Framework
تخمین طیف ویژه و تشخیص منبع در یک آرایه حسگر عظیم بر اساس چارچوب شبیهسازی همیلتونی به کمک کوانتومی-2022 In this work, we propose quantum assisted eigenvalue estimation and target detection algorithms for a large
sensor array via Hamiltonian simulation. Quantum algorithms
provide complexity advantage of a certain class of problems on
a quantum computer with fewer physical resources as compared
to their classical counterparts. The proposed algorithms make
use of the quantum phase estimation (QPE) as its core computing component. We have introduced an analytical quantum
framework to map from classical to quantum in the context of
target detection. Target detection involves an appropriate choice
of threshold based on the probability of detection or false alarm.
We exploited the massive sensor array structure and invoked
the random matrix theory to propose an optimal threshold.
It also takes into account the quantum measurement noise in the
framework. Numerical simulations are performed to ascertain
the efficacy of the proposed framework. The results suggest near
term applications of the quantum algorithm for large-scale linear
systems.
Index Terms: Quantum signal processing | quantum eigenvalue estimation | quantum phase estimation | Hamiltonian simulation | array signal processing. |
مقاله انگلیسی |
3 |
Enabling Pulse-Level Programming, Compilation, and Execution in XACC
فعال کردن برنامه نویسی، کامپایل و اجرا در سطح پالس در XACC-2022 Noisy gate-model quantum processing units (QPUs) are currently available from vendors over the cloud, and digital
quantum programming approaches exist to run low-depth circuits on physical hardware. These digital representations are ultimately
lowered to pulse-level instructions by vendor quantum control systems to affect unitary evolution representative of the submitted digital
circuit. Vendors are beginning to open this pulse-level control system to the public via specified interfaces. Robust programming
methodologies, software frameworks, and backend simulation technologies for this analog model of quantum computation will prove
critical to advancing pulse-level control research and development. Prototypical use cases for this include error mitigation, optimal
pulse control, and physics-inspired pulse construction. Here we present an extension to the XACC quantum-classical software
framework that enables pulse-level programming for superconducting, gate-model quantum computers, and a novel, general, and
extensible pulse-level simulation backend for XACC that scales on classical compute clusters via MPI. Our work enables custom
backend Hamiltonian definitions and gate-level compilation to available pulses with a focus on performance and scalability. We end with
a demonstration of this capability, and show how to use XACC for pertinent pulse-level programming tasks.
Index Terms: Quantum computing | quantum programming models | quantum control | quantum simulation |
مقاله انگلیسی |
4 |
Fuzzy Logic on Quantum Annealers
منطق فازی در آنیل های کوانتومی-2022 Quantum computation is going to revolutionize the world of
computing by enabling the design of massive parallel algorithms that solve
hard problems in an efficient way, thanks to the exploitation of quantum
mechanics effects, such as superposition, entanglement, and interference.
These computational improvements could strongly influence the way how
fuzzy systems are designed and used in contexts, such as Big Data, where
computational efficiency represents a nonnegligible constraint to be taken
into account. In order to pave the way toward this innovative scenario,
this article introduces a novel representation of fuzzy sets and operators
based on quadratic unconstrained binary optimization problems, so as to
enable the implementation of fuzzy inference engines on a type of quantum
computers known as quantum annealers.
Index Terms: Fuzzy logic | quantum computing | simulated annealing. |
مقاله انگلیسی |
5 |
Design of robot automatic navigation under computer intelligent algorithm and machine vision
طراحی ربات ناوبری خودکار تحت الگوریتم هوشمند کامپیوتر و بینایی ماشین-2022 This work aims to explore the robot automatic navigation model under computer intelligent algorithms and
machine vision, so that mobile robots can better serve all walks of life. In view of the current situation of high
cost and poor work flexibility of intelligent robots, this work innovatively researches and improves the image
processing algorithm and control algorithm. In the navigation line edge detection stage, aiming at the low ef-
ficiency of the traditional ant colony algorithm, the Canny algorithm is combined to improve it, and a Canny-
based ant colony algorithm is proposed to detect the trajectory edge. In addition, the Single Shot MultiBox
Detector (SSD) algorithm is adopted to detect obstacles in the navigation trajectory of the robot. The perfor-
mance is analyzed through simulation. The results show that the navigation accuracy of the Canny-based ant
colony algorithm proposed in this work is basically stable at 89.62%, and its running time is the shortest. Further
analysis of the proposed SSD neural network through comparison with other neural networks suggests that its
feature recognition accuracy reaches 92.90%. The accuracy is at least 3.74% higher versus other neural network
algorithms, the running time is stable at about 37.99 s, and the packet loss rate is close to 0. Therefore, the
constructed mobile robot automatic navigation model can achieve high recognition accuracy under the premise
of ensuring error. Moreover, the data transmission effect is ideal. It can provide experimental basis for the later
promotion and adoption of mobile robots in various fields. keywords: الگوریتم هوش کامپیوتری | بینایی ماشین | ربات | ناوبری خودکار | الگوریتم کلونی مورچه ها | Computer intelligence algorithm | Machine vision | Robot | Automatic navigation | Ant colony algorithm |
مقاله انگلیسی |
6 |
Quantum Private Set Intersection Cardinality Protocol With Application to Privacy-Preserving Condition Query
پروتکل کاردینالیتی تقاطع مجموعه خصوصی کوانتومی با کاربرد در پرس و جوی شرایط حفظ حریم خصوصی-2022 Private Set Intersection Cardinality (PSI-CA) is one
of the most concerned issues with the protection of privacy,
in which two parties jointly compute the intersection cardinality without revealing their respective private sets. There are
important applications of PSI-CA in real society, e.g., strongly
privacy-preserving data statistics in contact tracing for health
authorities to fight the outbreaks of highly contagious diseases.
In this paper, we present a novel quantum PSI-CA protocol,
in which we adopt oblivious quantum key distribution, secure
quantum summation and quantum counting algorithm. The
proposed PSI-CA protocol not only ensures the approximatively
perfect security but also achieves the linear communication
complexity, i.e., O(N). Furthermore, we define a new privacy protection problem, i.e., Privacy-preserving Condition Query (PCQ),
and provide an efficient solution to the PCQ problem based on
the proposed quantum PSI-CA protocol. Finally, we verify the
correctness and the feasibility of the proposed quantum PSI-CA
protocol by circuit simulations in IBM Qiskit.
Index Terms— Quantum computing | quantum key distribution | secure multiparty computation | circuit simulations. |
مقاله انگلیسی |
7 |
Variational Quantum-Based Simulation of Waveguide Modes
شبیه سازی کوانتومی متغیر حالت های موجبر-2022 Variational quantum algorithms (VQAs) are one of
the most promising methods that can be implemented on noisy
intermediate-scale quantum (NISQ) machines to achieve a quantum advantage over classical computers. This article describes
the use of a VQA in conjunction with the finite difference method
for the calculation of propagation modes of an electromagnetic
wave in a hollow metallic waveguide. The two-dimensional
(2-D) waveguide problem, described by the Helmholtz equation,
is approximated by a system of linear equations, whose solutions
are expressed in terms of simple quantum expectation values that
can be evaluated efficiently on quantum hardware. Numerical
examples are presented to validate the proposed method for
solving 2-D waveguide problems.
keywords: Helmholtz equation | quantum computing | waveguide modes. |
مقاله انگلیسی |
8 |
An investigation of the transmission success in Lorawan enabled IoT-HAPS communication
An investigation of the transmission success in Lorawan enabled IoT-HAPS communication-2022 As the communication and aviation technology expand, High altitude platform stations (HAPS)
are increasingly gaining a wider usage area in modern Internet of Things (IoT) deployments. One
of the areas in which HAPS can be effectively utilized is the wide area deployment of sensors
that require a costly data acquisition effort in terms of transportation and communication access.
Aerial communication using a low-energy technology such as LoRa can provide significant
advantages in such scenarios. Our work models and simulates LoRAWAN communication in
utilizing HAPS in data acquisition over a large distribution span of IoT devices/sensors. We
conduct experiments on various different scenarios including changing number of devices,
span area, HAPS speed and LoRa duty cycle to draw conclusions about how each of these
parameters affect communication quality. Results of the simulation are used in regression
analysis of equation factors to calculate the expected transmission performance under different
experimental setups. Our results (and simulation code) can be used to reason about certain
properties of IoT deployment (such as sensor count, sensor distribution area, HAPS speed, etc.)
before the real deployment is done in LoRaWAN enabled IoT-HAPS communication.
keywords: High altitude platform station communication | LoRaWAN communication | Wide-area sensor network | IoT deployment simulation | Communication quality estimation |
مقاله انگلیسی |
9 |
A Multiscale Simulation Approach for Germanium-Hole-Based Quantum Processor
یک رویکرد شبیه سازی چند مقیاسی برای پردازنده کوانتومی مبتنی بر حفره ژرمانیوم-2022 A multiscale simulation method is developed to
model a quantum dot (QD) array of germanium (Ge) holes for
quantum computing. Guided by three-dimensional numerical
quantum device simulations of QD structures, an analytical model
of the tunnel coupling between the neighboring hole QDs is
obtained. Two-qubit entangling quantum gate operations and
quantum circuit characteristics of the QD array processor are
then modeled. Device analysis of two-qubit Ge hole quantum gates
demonstrates faster gate speed, smaller process variability, and
less stringent requirement of feature size, compared to its silicon
counterpart. The multiscale simulation method allows assessment
of the quantum processor circuit performance from a bottom-up,
physics-informed perspective. Application of the simulation
method to the Ge QD array processor indicates its promising
potential for preparing high-fidelity ansatz states in quantum
chemistry simulations.
keywords: Quantum computing | Germanium | Hole | Quantum dot | Quantum gate | Multiscale simulation |
مقاله انگلیسی |
10 |
A Software Development Kit and Translation Layer for Executing Intel 8080 Assembler on a Quantum Computer (August 2022)
کیت توسعه نرم افزار و لایه ترجمه برای اجرای اسمبلر اینتل 8080 در رایانه کوانتومی (اوت 2022)-2022 One of the major obstacles to the adoption of quantum computing is the requirement to define
quantum circuits at the quantum gate level. Many programmers are familiar with high-level or low-level
programming languages but not quantum gates nor the low-level quantum logic required to derive useful
results from quantum computers. The steep learning curve involved when progressing from quantum gates to
complex simulations such as Shor’s algorithm has proven too much for many developers. The purpose of this
article and the software presented within addresses this challenge by providing a Software Development Kit
(SDK), translation layer, emulator, and a framework of techniques for executing Intel 8080/Z80 assembler on
a quantum computer, i.e., all salient points of CPU execution, logic, arithmetic, and bitwise manipulation will
be executed on the quantum computer using quantum circuits. This provides a novel means of displaying
the equivalency and interoperability of quantum and classical computers. Developers and researchers can
use the SDK to write code in Intel 8080/Z80 assembler which is executed locally via traditional emulation
and remotely on a quantum computer in parallel. The emulator features side-by-side code execution with
visibility of the running quantum circuit and reusable/overridable methods. This enables programmers to
learn, reuse, and contrast techniques for performing any traditional CPU-based technique/instruction on a
quantum computer, e.g., a programmer may know how to multiply and perform checks on a classical CPU
but is not able to perform the same tasks in a quantum implementation, and this SDK allows the programmer
to pick and choose the methods they would like to use to fulfil their requirements. The SDK makes use of
open-source software, specifically Python and Qiskit for the emulation, translation, API calls, and execution
of user-supplied code or binaries.
INDEX TERMS: Emulation | macro and assembly languages | processors | Qiskit | quantum computing | quantum gates | translation. |
مقاله انگلیسی |