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cuQuantum SDK: A High-Performance Library for Accelerating ..:

, In: 2023 IEEE International Conference on Quantum Computing and Engineering (QCE),

Bayraktar, Harun ; Charara, Ali ; Clark, David... - p. 1050-1061 , 2023

Link: https://doi.org/10.1109/QCE57702.2023.00119

RT 
T1 <cTitle>2023 IEEE International Conference on Quantum Computing and Engineering (QCE)</cTitle>: T1 <Title>cuQuantum SDK: A High-Performance Library for Accelerating Quantum Science</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10313722&Exemplar=1&LAN=DE
				
A1 Bayraktar, Harun
A1 Charara, Ali
A1 Clark, David
A1 Cohen, Saul
A1 Costa, Timothy
A1 Fang, Yao-Lung L.
A1 Gao, Yang
A1 Guan, Jack
A1 Gunnels, John
A1 Haidar, Azzam
A1 Hehn, Andreas
A1 Hohnerbach, Markus
A1 Jones, Matthew
A1 Lubowe, Tom
A1 Lyakh, Dmitry
A1 Morino, Shinya
A1 Springer, Paul
A1 Stanwyck, Sam
A1 Terentyev, Igor
A1 Varadhan, Satya
A1 Wong, Jonathan
A1 Yamaguchi, Takuma
YR 2023
K1 Tensors
K1 Software packages
K1 Computational modeling
K1 Software algorithms
K1 Graphics processing units
K1 Libraries
K1 Quantum circuit
K1 quantum circuit simulation
K1 GPU computing
K1 state vector
K1 tensor network
SP 1050
OP 1061
LK http://dx.doi.org/https://doi.org/10.1109/QCE57702.2023.00119
DO https://doi.org/10.1109/QCE57702.2023.00119
SF ELIB - SuUB Bremen

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