mmWave massive MIMO systems will be used extensively in future communications systems to enable the increasing demand for high data rates. In such systems, hybrid precoders are preferred to fully digital precoders to ...
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As wireless communication systems continue to evolve, the study of Radio Frequency (RF) Power Amplifiers (PAs) has attracted growing interest. Addressing the modeling issues of PAs can provide more convenient research...
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This paper addresses classical simulations in the assessment of quantum computing performance. It emphasises the significance of these simulations in understanding quantum systems and exploring the potential of quantu...
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ISBN:
(纸本)9783031492686;9783031492693
This paper addresses classical simulations in the assessment of quantum computing performance. It emphasises the significance of these simulations in understanding quantum systems and exploring the potential of quantum algorithms. The challenges posed by the exponential growth of quantum states and the limitations of full-state simulations are addressed. Various approximation techniques and encoding methods are pointed out to enable simulations of larger quantum systems, and advanced simulation strategies tailored to specific goals are also discussed. This work focuses on the feasibility of classical simulation in decision processes regarding the development of software solutions, extending the assessment beyond high-performance computing systems to include standard hardware. This opportunity can foster the adoption of classical simulations of quantum algorithms to a wider range of users.
In decentralized IoT platforms, high flexibility, per-formance, and hardware efficiency are the requirements for cryptographic hardware for maintaining data security. This paper proposes a reconfigurable high-efficien...
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This article presents a comprehensive and in-depth analysis of the integration of reconfigurable Intelligent Surfaces (RIS) with Non-Terrestrial Networks (NTN), offering ground-breaking advancements in communication s...
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In this paper, the development of hybrid algorithms for the detection of Pneumonia Disease from the human X-Ray's images of the Chest Structure is presented along with the simulated & experimental results. w.r...
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Recent advancements in artificial intelligence (AI) allow for more sophisticated modeling and simulation of complex engineeringsystems. This research explores the application of AI techniques like neural networks and...
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Neural community-based, totally machine-getting-to-know algorithms provide an effective device for predicting most cancers in recommender systems. These algorithms leverage large datasets of affected persons' medi...
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Navigation planning is a critical component in the operation of mobile systems such as robots, autonomous vehicles, and unmanned aerial vehicles (UAVs). As the complexity of these systems increases, the need for robus...
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Vehicular networks focus on improving traffic and safety concerns in an Intelligent Transportation System (ITS). However, the presence of misbehaving nodes can drastically impact the safety, traffic and other applicat...
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