Cited by 136Quantum Computing Algorithms and ArchitectureQuantum many-body systemsQuantum Mechanics and Applications

64-qubit quantum circuit simulation

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Chen, Zhao-Yun, Zhou, Qi, Xue, Cheng, Yang, Xia, Guo, Guang-Can, Guo, Guo-Ping·2018·Science Bulletin

Abstract

Classical simulations of quantum circuits are limited in both space and time when the qubit count is above 50, the realm where quantum supremacy reigns. However, recently, for the low depth circuit with more than 50 qubits, there are several methods of simulation proposed by teams at Google and IBM. Here, we present a scheme of simulation which can extract a large amount of measurement outcomes within a short time, achieving a 64-qubit simulation of a universal random circuit of depth 22 using a 128-node cluster, and 56- and 42-qubit circuits on a single PC. We also estimate that a 72-qubit circuit of depth 23 can be simulated in about 16 h on a supercomputer identical to that used by the IBM team. Moreover, the simulation processes are exceedingly separable, hence parallelizable, involving just a few inter-process communications. Our work enables simulating more qubits with less hardware burden and provides a new perspective for classical simulations.

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Crossref · 10.1016/j.scib.2018.06.007

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  • Circuits with a similar form to random circuits appear in near-term algorithms like quantum adiabatic optimization algorithms and variational quantum eigensolvers.

    “In addition, circuits with a similar form appear in near-term algorithms like quantum adiabatic optimization algorithms [17] and variational quantum eigensolvers [18].”

    From Validating quantum computers using randomized model circuits (2019) · cites this paper as [18]

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  1. [9][9] Aaronson S, Chen L. Complexity-theoretic foundations of quantum supremacy experiments. Preprint at https://arxiv.org/abs/1612.05903 (2016). - · arXiv

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Authors
Chen, Z.-Y., Zhou, Q., Xue, C., Yang, X., Guo, G.-C., & Guo, G.-P.
Affiliations
University of Science and Technology of China (CN)
Corresponding author
  • Guo, Guang-Can
  • Guo, Guo-Ping
Venue
Science Bulletin
Publisher
Elsevier BV
Published
2018-08
Volume
63
Issue
15
Pages
964-971
ISSN
2095-9273 (ISSN-L)
OpenAlex
W2789231139
Cited by
136
References
19
Citations by year
2026: 6 · 2025: 12 · 2024: 13 · 2023: 13 · 2022: 14 · 2021: 24 · 2020: 27 · 2019: 17 · 2018: 9 · 2017: 1
FWCI
10.78
Type
journal article
Language
en
Open access
Locations
  • 中国科学通报:英文版 (publishedVersion)
  • PubMed (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • arXiv (Cornell University)
Funders
  • National Natural Science Foundation of China (11625419)
  • National Basic Research Program of China (2016YFA0301700)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
  • Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum many-body systems
  • Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum Mechanics and Applications
Keywords
quantum circuit simulation, classical simulation of quantum circuits, low-depth quantum circuits, random quantum circuits, parallel simulation, scalability, quantum advantage

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