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pro vyhledávání: '"L'Abbate, Ryan"'
Autor:
L'Abbate, Ryan, D'Onofrio Jr., Anthony, Stein, Samuel, Chen, Samuel Yen-Chi, Li, Ang, Chen, Pin-Yu, Chen, Juntao, Mao, Ying
Recent advancements have highlighted the limitations of current quantum systems, particularly the restricted number of qubits available on near-term quantum devices. This constraint greatly inhibits the range of applications that can leverage quantum
Externí odkaz:
http://arxiv.org/abs/2402.15333
Autor:
Stein, Samuel A., L'Abbate, Ryan, Mu, Wenrui, Liu, Yue, Baheri, Betis, Mao, Ying, Guan, Qiang, Li, Ang, Fang, Bo
Deep neural network powered artificial intelligence has rapidly changed our daily life with various applications. However, as one of the essential steps of deep neural networks, training a heavily weighted network requires a tremendous amount of comp
Externí odkaz:
http://arxiv.org/abs/2012.00256
Autor:
Stein, Samuel A., L'Abbate, Ryan, Mu, Wenrui, Liu, Yue, Baheri, Betis, Mao, Ying, Guan, Qiang, Li, Ang, Fang, Bo
Publikováno v:
2021 IEEE International Performance, Computing, and Communications Conference (IPCCC).
Deep neural network powered artificial intelligence has rapidly changed our daily life with various applications. However, as one of the essential steps of deep neural networks, training a heavily weighted network requires a tremendous amount of comp
Akademický článek
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