dgQuEST: Accelerating Large Scale Quantum Circuit Simulation through Hybrid CPU-GPU Memory Hierarchies
- DOI
- 10.1007/978-3-030-93571-9_2
- Published
- 2022
- Container
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-030-93571-9_2,
title = {dgQuEST: Accelerating Large Scale Quantum Circuit Simulation through Hybrid CPU-GPU Memory Hierarchies},
author = {Tianyu Feng and Siyan Chen and Xin You and Shuzhang Zhong and Hailong Yang and Zhongzhi Luan and Depei Qian},
year = {2022},
journal = {Lecture Notes in Computer Science},
doi = {10.1007/978-3-030-93571-9_2},
url = {https://doi.org/10.1007/978-3-030-93571-9_2}
}RIS
TY - JOUR TI - dgQuEST: Accelerating Large Scale Quantum Circuit Simulation through Hybrid CPU-GPU Memory Hierarchies AU - Tianyu Feng AU - Siyan Chen AU - Xin You AU - Shuzhang Zhong AU - Hailong Yang AU - Zhongzhi Luan AU - Depei Qian PY - 2022 JO - Lecture Notes in Computer Science DO - 10.1007/978-3-030-93571-9_2 UR - https://doi.org/10.1007/978-3-030-93571-9_2 ER -
APA
Feng, T., Chen, S., You, X., Zhong, S., Yang, H., Luan, Z., & Qian, D. (2022). dgQuEST: Accelerating Large Scale Quantum Circuit Simulation through Hybrid CPU-GPU Memory Hierarchies. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-030-93571-9_2
Source records
- crossref · retrieved 2026-09-25T02:56:31.454Z