Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Arthur Pesah"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Preparing thermal states on a quantum computer can have a variety of applications, from simulating many-body quantum systems to training machine learning models. Variational circuits have been proposed for this task on near-term quantum comp
Externí odkaz:
https://doaj.org/article/87154013cd8c466eb28636968e69f27e
Publikováno v:
PRX Quantum, Vol 4, Iss 3, p 030338 (2023)
Tailored topological stabilizer codes in two dimensions have been shown to exhibit high-storage-threshold error rates and improved subthreshold performance under biased Pauli noise. Three-dimensional (3D) topological codes can allow for several advan
Externí odkaz:
https://doaj.org/article/65f7f655cb774579ae5aa13468994223
Publikováno v:
Physical Review X, Vol 11, Iss 4, p 041011 (2021)
Quantum neural networks (QNNs) have generated excitement around the possibility of efficiently analyzing quantum data. But this excitement has been tempered by the existence of exponentially vanishing gradients, known as barren plateau landscapes, fo
Externí odkaz:
https://doaj.org/article/d71b97b056d5487191921a55cfcffd9a
Autor:
Marco Cerezo, Tyler Volkoff, Samson Wang, Andrew T. Sornborger, Arthur Pesah, Patrick J. Coles
Publikováno v:
Physical Review X, Vol 11, Iss 4, p 041011 (2021)
Quantum neural networks (QNNs) have generated excitement around the possibility of efficiently analyzing quantum data. But this excitement has been tempered by the existence of exponentially vanishing gradients, known as barren plateau landscapes, fo
Autor:
Gabriel Perdue, Arthur Pesah, Wen Guan, Jean-Roch Vlimant, Sofia Vallecorsa, Koji Terashi, Maria Schuld
Machine learning has been used in high energy physics for a long time, primarily at the analysis level with supervised classification. Quantum computing was postulated in the early 1980s as way to perform computations that would not be tractable with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d47ee7f16a4d5dced34151ae0ac331aa
http://arxiv.org/abs/2005.08582
http://arxiv.org/abs/2005.08582