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Cited by 263Quantum Computing Algorithms and ArchitectureQuantum Information and CryptographyQuantum many-body systems

Quantum computational advantage via 60-qubit 24-cycle random circuit sampling

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Zhu, Qingling, Cao, Sirui, Chen, Fusheng, Chen, Ming-Cheng, Chen, Xiawei, Chung, Tung-Hsun, Deng, Hui, Du, Yajie +45 more·2022·Science Bulletin
DOI 10.1016/j.scib.2021.10.017
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Abstract

To ensure a long-term quantum computational advantage, the quantum hardware should be upgraded to withstand the competition of continuously improved classical algorithms and hardwares. Here, we demonstrate a superconducting quantum computing systems Zuchongzhi 2.1, which has 66 qubits in a two-dimensional array in a tunable coupler architecture. The readout fidelity of Zuchongzhi 2.1 is considerably improved to an average of 97.74%. The more powerful quantum processor enables us to achieve larger-scale random quantum circuit sampling, with a system scale of up to 60 qubits and 24 cycles, and fidelity of F XEB=(3.66±0.345)×10-4. The achieved sampling task is about 6 orders of magnitude more difficult than that of Sycamore [Nature 574, 505 (2019)] in the classic simulation, and 3 orders of magnitude more difficult than the sampling task on Zuchongzhi 2.0 [arXiv:2106.14734 (2021)]. The time consumption of classically simulating random circuit sampling experiment using state-of-the-art classical algorithm and supercomputer is extended to tens of thousands of years (about 4.8×10 4 years), while Zuchongzhi 2.1 only takes about 4.2 h, thereby significantly enhancing the quantum computational advantage.

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  • One half of the spontaneous Raman scattering errors are expected to result in leakage.

    “Specifically, one half of the spontaneous Raman scattering errors are expected to result in leakage [53,54].”

    From A Race-Track Trapped-Ion Quantum Processor (2023) · cites this paper as [54]

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Authors
Zhu, Q., Cao, S., Chen, F., Chen, M.-C., Chen, X., Chung, T.-H., Deng, H., Du, Y., Fan, D., Gong, M., Guo, C., Guo, C., Guo, S., Han, L., Hong, L., Huang, H.-L., Huo, Y.-H., Li, L., Li, N., Li, S., Li, Y., Liang, F., Lin, C., Lin, J., Qian, H., Qiao, D., Rong, H., Su, H., Sun, L., Wang, L., Wang, S., Wu, D., Wu, Y., Xu, Y., Yan, K., Yang, W., Yang, Y., Ye, Y., Yin, J., Ying, C., Yu, J., Zha, C., Zhang, C., Zhang, H., Zhang, K., Zhang, Y., Zhao, H., Zhao, Y., Zhou, L., Lu, C.-Y., Peng, C.-Z., Zhu, X., & Pan, J.-W.
Affiliations
  • University of Science and Technology of China (CN)
  • QuantumCTek (China) (CN)
  • Chinese Academy of Sciences (CN)
ORCID
Venue
Science Bulletin
Publisher
Elsevier BV
Published
2022-02
Volume
67
Issue
3
Pages
240-245
ISSN
2095-9273 (ISSN-L)
DOI
10.1016/j.scib.2021.10.017
OpenAlex
W3209967515
Cited by
263
References
10
Citations by year
2026: 27 · 2025: 60 · 2024: 62 · 2023: 76 · 2022: 35 · 2021: 3
FWCI
15.55
Type
journal article
Language
en
Open access
Licence
Locations
  • 中国科学通报：英文版 (publishedVersion)
  • PubMed (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • arXiv (Cornell University)
Funders
  • Natural Science Foundation of Shanghai (2020-JCJQ-QT-030, 19ZR1462700)
  • National Natural Science Foundation of China (11774326, 19ZR1462700, 11905294, 11905217, 2020-JCJQ)
  • Chinese Academy of Sciences (2019SHZDZX01)
  • University of Science and Technology of China
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
  • Physical Sciences › Computer Science › Artificial Intelligence › Quantum Information and Cryptography
  • Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum many-body systems
Keywords
quantum advantage, superconducting quantum processors, readout fidelity

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