Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Betis Baheri"'
Publikováno v:
2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c900b785bed2997f2087e12781e7a4b1
https://doi.org/10.1109/iolts56730.2022.9897404
https://doi.org/10.1109/iolts56730.2022.9897404
Publikováno v:
2022 IEEE International Conference on Quantum Computing and Engineering (QCE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a47b803ad93117437aec4d0fd684050
https://doi.org/10.1109/qce53715.2022.00087
https://doi.org/10.1109/qce53715.2022.00087
Publikováno v:
2022 IEEE International Conference on Quantum Computing and Engineering (QCE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03009815ba239b84b51ac60612028768
https://doi.org/10.1109/qce53715.2022.00073
https://doi.org/10.1109/qce53715.2022.00073
Autor:
Daniel Oliveira, Edoardo Giusto, Emanuele Dri, Nadir Casciola, Betis Baheri, Qiang Guan, Bartolomeo Montrucchio, Paolo Rech
Publikováno v:
2022 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN).
Quantum computing is a new technology that is expected to revolutionize the computation paradigm in the next few years. Qubits exploit the quantum physics proprieties to increase the parallelism and speed of computation. Unfortunately, besides being
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91ae6b984c1c68fded321037564242e4
https://doi.org/10.1109/dsn53405.2022.00025
https://doi.org/10.1109/dsn53405.2022.00025
Publikováno v:
2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0403ed90310ed8693b46f2ff1aabd085
https://doi.org/10.1109/ipdpsw55747.2022.00104
https://doi.org/10.1109/ipdpsw55747.2022.00104
Autor:
Daniel Chen, Betis Baheri, Ang Li, Ying Mao, Shuai Xu, Bo Fang, Qiang Guan, Vipin Chaudhary, Samuel A. Stein
Publikováno v:
DSN (Supplements)
The growth of need of quantum computers in many domains such as machine learning, numerical scientific simulation and finance has urged the quantum computers to produce more stable and less error-prone results. However, to mitigate the impact of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbb9a7d6de13286836eeeaa1f41772df
https://doi.org/10.1109/dsn-s52858.2021.00034
https://doi.org/10.1109/dsn-s52858.2021.00034
Publikováno v:
QCE
Tremendous progress has been witnessed in artificial intelligence where neural network backed deep learning systems have been used, with applications in almost every domain. As a representative deep learning framework, Generative Adversarial Network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dcdf4d14b704726cc6c347529b7dcd8f
