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MEMQSim: Highly Memory-Efficient and Modularized Quantum State-Vector Simulation

Published: 12 November 2023 Publication History

Abstract

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References

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Sergio Boixo, Sergei V Isakov, Vadim N Smelyanskiy, Ryan Babbush, Nan Ding, Zhang Jiang, Michael J Bremner, John M Martinis, and Hartmut Neven. 2018. Characterizing quantum supremacy in near-term devices. Nature Physics 14, 6 (2018), 595–600.
[2]
Bo Fang, M. Yusuf Özkaya, Ang Li, Ümit V. Çatalyürek, and Sriram Krishnamoorthy. 2022. Efficient Hierarchical State Vector Simulation of Quantum Circuits via Acyclic Graph Partitioning. In CLUSTER. 289–300. https://doi.org/10.1109/CLUSTER51413.2022.00041
[3]
Tyson Jones, Anna Brown, Ian Bush, and Simon C Benjamin. 2019. QuEST and high performance simulation of quantum computers. Scientific reports 9, 1 (2019), 1–11.
[4]
Ang Li, Bo Fang, Christopher Granade, Guen Prawiroatmodjo, Bettina Heim, Martin Roetteler, and Sriram Krishnamoorthy. 2021. SV-sim: scalable PGAS-based state vector simulation of quantum circuits. In SC21. 1–14.
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John Preskill. 2018. Quantum computing in the NISQ era and beyond. Quantum 2 (2018), 79.
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Xin-Chuan Wu, Sheng Di, Emma Maitreyee Dasgupta, Franck Cappello, Hal Finkel, Yuri Alexeev, and Frederic T Chong. 2019. Full-state quantum circuit simulation by using data compression. In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis. 1–24.
[7]
Chen Zhang, Zeyu Song, Haojie Wang, Kaiyuan Rong, and Jidong Zhai. 2021. HyQuas: hybrid partitioner based quantum circuit simulation system on GPU. In Proceedings of the ACM International Conference on Supercomputing. 443–454.
[8]
Chen Zhang, Haojie Wang, Zixuan Ma, Lei Xie, Zeyu Song, and Jidong Zhai. 2022. UniQ: a unified programming model for efficient quantum circuit simulation. In SC22. IEEE Computer Society, 692–707.

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          cover image ACM Other conferences
          SC-W '23: Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis
          November 2023
          2180 pages
          ISBN:9798400707858
          DOI:10.1145/3624062
          Publication rights licensed to ACM. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of the United States government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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          Publication History

          Published: 12 November 2023

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