Zobrazeno 1 - 10
of 2 577
pro vyhledávání: '"P. Schuhmacher"'
In this article, we derive Stein's method for approximating a spatial random graph by a generalised random geometric graph, which has vertices given by a finite Gibbs point process and edges based on a general connection function. Our main theorems p
Externí odkaz:
http://arxiv.org/abs/2411.02917
Autor:
Harris, Joseph, Schuhmacher, Peter K.
Recent experiments have hinted towards an upcoming era of quantum utility, in which quantum hardware is able to outperform classical simulation methods for a variety of real-world applications. In this work, we show how application-inspired families
Externí odkaz:
http://arxiv.org/abs/2410.01505
Autor:
Basermann, Achim, Epping, Michael, Fauseweh, Benedikt, Felderer, Michael, Lobe, Elisabeth, Röhrig-Zöllner, Melven, Schmiedinghoff, Gary, Schuhmacher, Peter K., Setyawati, Yoshinta, Weinert, Alexander
The rapid advancements in quantum computing necessitate a scientific and rigorous approach to the construction of a corresponding software ecosystem, a topic underexplored and primed for systematic investigation. This chapter takes an important step
Externí odkaz:
http://arxiv.org/abs/2405.13244
Autor:
Schuhmacher, Julian, Ballarin, Marco, Baiardi, Alberto, Magnifico, Giuseppe, Tacchino, Francesco, Montangero, Simone, Tavernelli, Ivano
Hybrid Tensor Networks (hTN) offer a promising solution for encoding variational quantum states beyond the capabilities of efficient classical methods or noisy quantum computers alone. However, their practical usefulness and many operational aspects
Externí odkaz:
http://arxiv.org/abs/2404.05784
Autor:
Le, Isabel Nha Minh, Kiss, Oriel, Schuhmacher, Julian, Tavernelli, Ivano, Tacchino, Francesco
Machine learning techniques are essential tools to compute efficient, yet accurate, force fields for atomistic simulations. This approach has recently been extended to incorporate quantum computational methods, making use of variational quantum learn
Externí odkaz:
http://arxiv.org/abs/2311.11362
Autor:
Wu, Meng-Qian Alexander, Sang, Tzu-Hsien, Schuhmacher, Luisa, Guo, Ming-Jie, Hammoud, Khodr, Pollin, Sofie
Utilizing Deep Reinforcement Learning (DRL) for Reconfigurable Intelligent Surface (RIS) assisted wireless communication has been extensively researched. However, existing DRL methods either act as a simple optimizer or only solve problems with concu
Externí odkaz:
http://arxiv.org/abs/2311.08840
We introduce the Graph TT (GTT) and Graph OSPA (GOSPA) metrics based on optimal assignment, which allow us to compare not only the edge structures but also general vertex and edge attributes of graphs of possibly different sizes. We argue that this p
Externí odkaz:
http://arxiv.org/abs/2308.12165
Bluetooth Low Energy (BLE) is a de-facto technology for Internet of Things (IoT) applications, promising very low energy consumption. However, this low energy consumption accounts only for the radio part, and it overlooks the energy consumption of ot
Externí odkaz:
http://arxiv.org/abs/2309.16686
Autor:
Di Meglio, Alberto, Jansen, Karl, Tavernelli, Ivano, Alexandrou, Constantia, Arunachalam, Srinivasan, Bauer, Christian W., Borras, Kerstin, Carrazza, Stefano, Crippa, Arianna, Croft, Vincent, de Putter, Roland, Delgado, Andrea, Dunjko, Vedran, Egger, Daniel J., Fernandez-Combarro, Elias, Fuchs, Elina, Funcke, Lena, Gonzalez-Cuadra, Daniel, Grossi, Michele, Halimeh, Jad C., Holmes, Zoe, Kuhn, Stefan, Lacroix, Denis, Lewis, Randy, Lucchesi, Donatella, Martinez, Miriam Lucio, Meloni, Federico, Mezzacapo, Antonio, Montangero, Simone, Nagano, Lento, Radescu, Voica, Ortega, Enrique Rico, Roggero, Alessandro, Schuhmacher, Julian, Seixas, Joao, Silvi, Pietro, Spentzouris, Panagiotis, Tacchino, Francesco, Temme, Kristan, Terashi, Koji, Tura, Jordi, Tuysuz, Cenk, Vallecorsa, Sofia, Wiese, Uwe-Jens, Yoo, Shinjae, Zhang, Jinglei
Publikováno v:
PRX Quantum 5, 037001 (2024)
Quantum computers offer an intriguing path for a paradigmatic change of computing in the natural sciences and beyond, with the potential for achieving a so-called quantum advantage, namely a significant (in some cases exponential) speed-up of numeric
Externí odkaz:
http://arxiv.org/abs/2307.03236
Publikováno v:
Ciência & Educação, Vol 30 (2024)
Resumo A educação tem desafios que sobrevêm das transformações tecnológicas na sociedade que demandam dos professores a reavaliação acerca da inserção das Tecnologias Digitais da Informação e Comunicação (TDIC) no processo de ensino e a
Externí odkaz:
https://doaj.org/article/f0829d72b9ff44b9acf834995196f2bd
