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Full-state quantum circuit simulation requires exponentially increased memory size to store the state vector as the number of qubits scales, presenting significant limitations in classical computing systems.
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Stellan Östlund and Stefan Rommer · 1995
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Alán Aspuru-Guzik, Anthony D Dutoi, Peter J Love, and Martin Head-Gordon · 2005
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New perspectives on unitary coupled-cluster theory
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A quantum approximate optimization algorithm
Edward Farhi, Jeffrey Goldstone, and Sam Gutmann · 2014
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A variational eigenvalue solver on a photonic quantum processor
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Fast error-bounded lossy HPC data compression with SZ
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Quantum machine learning
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Significantly improving lossy compression for scientific data sets based on multidimensional prediction and error-controlled quantization
Dingwen Tao, Sheng Di, Zizhong Chen, and Franck Cappello · 2017
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An efficient transformation scheme for lossy data compression with point-wise relative error bound
Xin Liang, Sheng Di, Dingwen Tao, Zizhong Chen, and Franck Cappello · 2018
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Error-controlled lossy compression optimized for high compression ratios of scientific datasets
Xin Liang, Sheng Di, Dingwen Tao, Sihuan Li, Shaomeng Li, Hanqi Guo, Zizhong Chen, and Franck Cappello · 2018
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Quantum computing in the nisq era and beyond
John Preskill · 2018
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Quantum computational finance: Monte carlo pricing of financial derivatives
Patrick Rebentrost, Brajesh Gupt, and Thomas R Bromley · 2018
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Tthresh: Tensor compression for multidimensional visual data
Rafael Ballester-Ripoll, Peter Lindstrom, and Renato Pajarola · 2019
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Qaoa for max-cut requires hundreds of qubits for quantum speed-up
Gian Giacomo Guerreschi and Anne Y Matsuura · 2019
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Quest and high performance simulation of quantum computers
Tyson Jones, Anna Brown, Ian Bush, and Simon C Benjamin · 2019
Sv-sim: scalable pgas-based state vector simulation of quantum circuits
Ang Li, Bo Fang, Christopher Granade, Guen Prawiroatmodjo, Bettina Heim, Martin Roetteler, and Sriram Krishnamoorthy · 2021
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Qasmbench: A low-level qasm benchmark suite for nisq evaluation and simulation
Ang Li, Samuel Stein, Sriram Krishnamoorthy, and James Ang · 2021
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Mgard+: Optimizing multilevel methods for error-bounded scientific data reduction
Xin Liang, Ben Whitney, Jieyang Chen, Lipeng Wan, Qing Liu, Dingwen Tao, James Kress, David Pugmire, Matthew Wolf, Norbert Podhorszki, et al · 2021
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Performance evaluation and acceleration of the qtensor quantum circuit simulator on gpus
Danylo Lykov, Angela Chen, Huaxuan Chen, Kristopher Keipert, Zheng Zhang, Tom Gibbs, and Yuri Alexeev · 2021
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Hyquas: hybrid partitioner based quantum circuit simulation system on gpu
Chen Zhang, Zeyu Song, Haojie Wang, Kaiyuan Rong, and Jidong Zhai · 2021
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Quantum machine learning in feature hilbert spaces
Maria Schuld and Nathan Killoran · 2019
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Full-state quantum circuit simulation by using data compression
Xin-Chuan Wu, Sheng Di, Emma Maitreyee Dasgupta, Franck Cappello, Hal Finkel, Yuri Alexeev, and Frederic T Chong · 2019
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The quantum approximate optimization algorithm needs to see the whole graph: A typical case
Edward Farhi, David Gamarnik, and Sam Gutmann · 2020
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Ibm’s roadmap for scaling quantum technology
Jay Gambetta · 2020
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Efficient 2d tensor network simulation of quantum systems
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Quantum AI team and collaborators · 2020
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Efficient hierarchical state vector simulation of quantum circuits via acyclic graph partitioning
Bo Fang, M. Yusuf Özkaya, Ang Li, Ümit V. Çatalyürek, and Sriram Krishnamoorthy · 2022
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Sz3: A modular framework for composing prediction-based error-bounded lossy compressors
Xin Liang, Kai Zhao, Sheng Di, Sihuan Li, Robert Underwood, Ali M Gok, Jiannan Tian, Junjing Deng, Jon C Calhoun, Dingwen Tao, et al · 2022
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Uniq: a unified programming model for efficient quantum circuit simulation
Chen Zhang, Haojie Wang, Zixuan Ma, Lei Xie, Zeyu Song, and Jidong Zhai · 2022
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Frontier: Exploring exascale
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Mgard: A multigrid framework for high-performance, error-controlled data compression and refactoring
Qian Gong, Jieyang Chen, Ben Whitney, Xin Liang, Viktor Reshniak, Tania Banerjee, Jaemoon Lee, Anand Rangarajan, Lipeng Wan, Nicolas Vidal, et al · 2023
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cuszp: An ultra-fast gpu error-bounded lossy compression framework with optimized end-to-end performance
Yafan Huang, Sheng Di, Xiaodong Yu, Guanpeng Li, and Franck Cappello · 2023
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Fz-gpu: A fast and high-ratio lossy compressor for scientific computing applications on gpus
Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Yunhe Feng, Xin Liang, Dingwen Tao, and Franck Cappello · 2023
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Gpulz: Optimizing lzss lossless compression for multi-byte data on modern gpus
Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Martin Swany, Dingwen Tao, and Franck Cappello · 2023
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