Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Barzen, Johanna"'
Distributed quantum computing leverages the collective power of multiple quantum devices to perform computations exceeding the capabilities of individual quantum devices. A currently studied technique to enable this distributed approach is wire cutti
Externí odkaz:
http://arxiv.org/abs/2406.13315
Autor:
Barzen, Johanna, Leymann, Frank
Nowadays, predominant asymmetric cryptographic schemes are considered to be secure because discrete logarithms are believed to be hard to be computed. The algorithm of Shor can effectively compute discrete logarithms, i.e. it can brake such asymmetri
Externí odkaz:
http://arxiv.org/abs/2405.11885
Autor:
Murillo, Juan M., Garcia-Alonso, Jose, Moguel, Enrique, Barzen, Johanna, Leymann, Frank, Ali, Shaukat, Yue, Tao, Arcaini, Paolo, Castillo, Ricardo Pérez, de Guzmán, Ignacio García Rodríguez, Piattini, Mario, Ruiz-Cortés, Antonio, Brogi, Antonio, Zhao, Jianjun, Miranskyy, Andriy, Wimmer, Manuel
As quantum computers evolve, so does the complexity of the software that they can run. To make this software efficient, maintainable, reusable, and cost-effective, quality attributes that any industry-grade software should strive for, mature software
Externí odkaz:
http://arxiv.org/abs/2404.06825
The Variational Quantum Eigensolver (VQE) is a Variational Quantum Algorithm (VQA) to determine the ground state of quantum-mechanical systems. As a VQA, it makes use of a classical computer to optimize parameter values for its quantum circuit. Howev
Externí odkaz:
http://arxiv.org/abs/2402.17378
Distributed quantum computing supports combining the computational power of multiple quantum devices to overcome the limitations of individual devices. Circuit cutting techniques enable the distribution of quantum computations via classical communica
Externí odkaz:
http://arxiv.org/abs/2403.09690
Training classical neural networks generally requires a large number of training samples. Using entangled training samples, Quantum Neural Networks (QNNs) have the potential to significantly reduce the amount of training samples required in the train
Externí odkaz:
http://arxiv.org/abs/2309.13711
Distributed quantum computing combines the computational power of multiple devices to overcome the limitations of individual devices. Circuit cutting techniques enable the distribution of quantum computations through classical communication. These te
Externí odkaz:
http://arxiv.org/abs/2306.12084
Autor:
Furutanpey, Alireza, Barzen, Johanna, Bechtold, Marvin, Dustdar, Schahram, Leymann, Frank, Raith, Philipp, Truger, Felix
Quantum processing units (QPUs) are currently exclusively available from cloud vendors. However, with recent advancements, hosting QPUs is soon possible everywhere. Existing work has yet to draw from research in edge computing to explore systems expl
Externí odkaz:
http://arxiv.org/abs/2305.05238