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Quantum circuit simulation provides the foundation for the development of quantum algorithms and the verification of quantum supremacy.
On Optimizing a Class of Multi-Dimensional Loops with Reduction for Parallel Execution
Lam Chi-Chung, P. Sadayappan, and Rephael Wenger · 1997
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Hyper-optimized tensor network contraction
Johnnie Gray and Stefanos Kourtis · 2002
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The computational complexity of PEPS
Norbert Schuch, Michael M. Wolf, Frank Verstraete, and J. Ignacio Cirac · 2007
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Simulating Quantum Computation by Contracting Tensor Networks
Igor L. Markov and Yaoyun Shi · 2008
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Quantum computing and the entanglement frontier, November 2012
John Preskill · 2012
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CuPy: A NumPy-Compatible Library for NVIDIA GPU Calculations
Ryosuke Okuta, Yuya Unno, Daisuke Nishino, Shohei Hido, and Crissman Loomis · 2017
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Characterizing quantum supremacy in near-term devices
Sergio Boixo, Sergei V. Isakov, Vadim N. Smelyanskiy, Ryan Babbush, Nan Ding, Zhang Jiang, Michael J. Bremner, John M. Martinis, and Hartmut Neven · 2018
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64-qubit quantum circuit simulation
Zhao-Yun Chen, Qi Zhou, Cheng Xue, Xia Yang, Guang-Can Guo, and Guo-Ping Guo · 2018
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Opt\_einsum - A Python package for optimizing contraction order for einsum-like expressions
Daniel G. A. Smith and Johnnie Gray · 2018
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quimb: A python package for quantum information and many-body calculations
Johnnie Gray · 2018
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Implementing Strassen’s Algorithm with CUTLASS on NVIDIA Volta GPUs
Jianyu Huang, Chenhan D. Yu, and Robert A. van de Geijn · 2018
Cited alongside, same era.
NVIDIA Tensor Core Programmability, Performance & Precision
Stefano Markidis, Steven Wei Der Chien, Erwin Laure, Ivy Bo Peng, and Jeffrey S. Vetter · 2018
Cited alongside, same era.
Quantum Supremacy Is Both Closer and Farther than It Appears
Igor L. Markov, Aneeqa Fatima, Sergei V. Isakov, and Sergio Boixo · 2018
Cited alongside, same era.
Quantum supremacy using a programmable superconducting processor
Frank Arute, Kunal Arya, et al · 2019
Cited alongside, same era.
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala · 2019
Qulacs: a fast and versatile quantum circuit simulator for research purpose
Yasunari Suzuki, Yoshiaki Kawase, Yuya Masumura, Yuria Hiraga, Masahiro Nakadai, Jiabao Chen, Ken M. Nakanishi, Kosuke Mitarai, Ryosuke Imai, Shiro Tamiya, Takahiro Yamamoto, Tennin Yan, Toru Kawakubo, Yuya O. Nakagawa, Yohei Ibe, Youyuan Zhang, Hirotsugu Yamashita, Hikaru Yoshimura, Akihiro Hayashi, and Keisuke Fujii · 2021
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Recovering single precision accuracy from Tensor Cores while surpassing the FP32 theoretical peak performance:
Hiroyuki Ootomo and Rio Yokota · 2022
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Simulation of Quantum Circuits Using the Big-Batch Tensor Network Method
Feng Pan and Pan Zhang · 2022
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Solving the sampling problem of the Sycamore quantum circuits
Feng Pan, Keyang Chen, and Pan Zhang · 2022
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High-Quality Hypergraph Partitioning
Sebastian Schlag, Tobias Heuer, Lars Gottesbüren, Yaroslav Akhremtsev, Christian Schulz, and Peter Sanders · 2022
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Cited alongside, same era.
TensorNetwork: A Library for Physics and Machine Learning, May 2019
Chase Roberts, Ashley Milsted, Martin Ganahl, Adam Zalcman, Bruce Fontaine, Yijian Zou, Jack Hidary, Guifre Vidal, and Stefan Leichenauer · 2019
Cited alongside, same era.
Efficient parallelization of tensor network contraction for simulating quantum computation
Cupjin Huang, Fang Zhang, Michael Newman, et al · 2021
Cited alongside, same era.
Fast Search of the Optimal Contraction Sequence in Tensor Networks
Ling Liang, Jianyu Xu, Lei Deng, Mingyu Yan, Xing Hu, Zheng Zhang, Guoqi Li, and Yuan Xie · 2021
Cited alongside, same era.
Closing the ”quantum supremacy” gap: achieving real-time simulation of a random quantum circuit using a new Sunway supercomputer
Yong (Alexander) Liu, Xin (Lucy) Liu, Fang (Nancy) Li, Haohuan Fu, Yuling Yang, Jiawei Song, Pengpeng Zhao, Zhen Wang, Dajia Peng, Huarong Chen, Chu Guo, Heliang Huang, Wenzhao Wu, and Dexun Chen · 2021
Cited alongside, same era.
Tensor Network Quantum Virtual Machine for Simulating Quantum Circuits at Exascale
Thien Nguyen, Dmitry Lyakh, Eugene Dumitrescu, David Clark, Jeff Larkin, and Alexander McCaskey · 2021
Cited alongside, same era.
Later among the works it cites.
Qiskit/qiskit: Qiskit 0.38.0, September 2022
Matthew Treinish, Jay Gambetta, et al · 2022
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Reducing shared memory footprint to leverage high throughput on Tensor Cores and its flexible API extension library
Hiroyuki Ootomo and Rio Yokota · 2023
Closest in time.
QuEST and High Performance Simulation of Quantum Computers
Tyson Jones, Anna Brown, Ian Bush, and Simon C. Benjamin · 2045
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Intel Quantum Simulator: a cloud-ready high-performance simulator of quantum circuits
Gian Giacomo Guerreschi, Justin Hogaboam, Fabio Baruffa, and Nicolas P. D. Sawaya · 2058
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Establishing the quantum supremacy frontier with a 281 Pflop/s simulation
Benjamin Villalonga, Dmitry Lyakh, Sergio Boixo, Hartmut Neven, Travis S. Humble, Rupak Biswas, Eleanor G. Rieffel, Alan Ho, and Salvatore Mandrà · 2058
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