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Zeyu Xu, Wenbin Yu, Chengjun Zhang and Yadang Chen
In the era of noisy intermediate-scale quantum (NISQ) computing, the synergistic collaboration between quantum and classical computing models has emerged as a promising solution for tackling complex computational challenges. Long short-term memory (LSTM)...
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Filippo Orazi, Simone Gasperini, Stefano Lodi and Claudio Sartori
Quantum computing has rapidly gained prominence for its unprecedented computational efficiency in solving specific problems when compared to classical computing counterparts. This surge in attention is particularly pronounced in the realm of quantum mach...
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Obada Issa and Tamer Shanableh
This paper proposes a novel approach to activity recognition where videos are compressed using video coding to generate feature vectors based on compression variables. We propose to eliminate the temporal domain of feature vectors by computing the mean a...
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Beimbet Daribayev, Aksultan Mukhanbet and Timur Imankulov
The Poisson equation is a fundamental equation of mathematical physics that describes the potential distribution in static fields. Solving the Poisson equation on a grid is computationally intensive and can be challenging for large grids. In recent years...
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Youssef Moawad, Wim Vanderbauwhede and René Steijl
As quantum computing technology continues to develop, the need for research into novel quantum algorithms is growing. However, such algorithms cannot yet be reliably tested on actual quantum hardware, which is still limited in several ways, including qub...
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Daniele Sivori, Laura Ierimonti, Ilaria Venanzi, Filippo Ubertini and Serena Cattari
Recent advances in computing performance and simulation tools allow today the development of high-fidelity computational models which accurately reproduce the structural behavor of existing structures. At the same time, advancements in sensing technology...
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Peiyan Yuan, Ming Li, Shuhong Li, Chunhong Liu and Xiaoyan Zhao
Edge networks employ local computing and caching resources to process data, thus alleviating the bandwidth pressure on backbone networks and improve users? quality of experience. System capacity is one of the key metrics to evaluate the performance of ed...
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Xiaoyu Liu, Wenqian Peng, Liuyin Xie and Xiang Zhang
In this paper, a novel bat algorithm based on the quantum computing concept and pyramid neural network (PNN) is presented and applied to the electromagnetic motor optimization problem. Due to the problems of high loss, high temperature rise and threateni...
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Alessandro D'Elia, Alessio Rettaroli, Fabio Chiarello, Daniele Di Gioacchino, Emanuele Enrico, Luca Fasolo, Carlo Ligi, Giovanni Maccarrone, Federica Mantegazzini, Benno Margesin, Francesco Mattioli, Simone Tocci, Andrea Vinante and Claudio Gatti
Quantum computing requires a novel approach to store data as quantum states, opposite to classical bits. One of the most promising candidates is entangled photons. In this manuscript, we show the photon emission in the range of microwave frequencies of t...
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Rafael Díaz Fuentes, Stefano Serra-Capizzano and Rosita Luisa Sormani
It is well known that ω" role="presentation">???
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can be simultaneously diagonalized by a transform matrix, which can be factored...
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