Characterizing quantum supremacy in near-term devices

被引:2
|
作者
Sergio Boixo
Sergei V. Isakov
Vadim N. Smelyanskiy
Ryan Babbush
Nan Ding
Zhang Jiang
Michael J. Bremner
John M. Martinis
Hartmut Neven
机构
[1] Google Inc.,Centre for Quantum Computation and Communication Technology, Centre for Quantum Software and Information, Faculty of Engineering and Information Technology
[2] Google Inc.,Department of Physics
[3] QuAIL,undefined
[4] NASA Ames Research Center,undefined
[5] SGT Inc.,undefined
[6] University of Technology Sydney,undefined
[7] Google Inc.,undefined
[8] University of California,undefined
来源
Nature Physics | 2018年 / 14卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
A critical question for quantum computing in the near future is whether quantum devices without error correction can perform a well-defined computational task beyond the capabilities of supercomputers. Such a demonstration of what is referred to as quantum supremacy requires a reliable evaluation of the resources required to solve tasks with classical approaches. Here, we propose the task of sampling from the output distribution of random quantum circuits as a demonstration of quantum supremacy. We extend previous results in computational complexity to argue that this sampling task must take exponential time in a classical computer. We introduce cross-entropy benchmarking to obtain the experimental fidelity of complex multiqubit dynamics. This can be estimated and extrapolated to give a success metric for a quantum supremacy demonstration. We study the computational cost of relevant classical algorithms and conclude that quantum supremacy can be achieved with circuits in a two-dimensional lattice of 7 × 7 qubits and around 40 clock cycles. This requires an error rate of around 0.5% for two-qubit gates (0.05% for one-qubit gates), and it would demonstrate the basic building blocks for a fault-tolerant quantum computer.
引用
收藏
页码:595 / 600
页数:5
相关论文
共 50 条
  • [41] Quantum bionic advantage on near-term cloud ecosystem
    Fadli, Samih
    Rawal, Bharat S.
    OPTIK, 2023, 272
  • [42] Optimized Quantum Compilation for Near-Term Algorithms with OpenPulse
    Gokhale, Pranav
    Javadi-Abhari, Ali
    Earnest, Nathan
    Shi, Yunong
    Chong, Frederic T.
    2020 53RD ANNUAL IEEE/ACM INTERNATIONAL SYMPOSIUM ON MICROARCHITECTURE (MICRO 2020), 2020, : 186 - 200
  • [43] Error mitigation on a near-term quantum photonic device
    Su, Daiqin
    Israel, Robert
    Sharma, Kunal
    Qi, Haoyu
    Dhand, Ish
    Bradler, Kamil
    QUANTUM, 2021, 5
  • [44] Hamiltonian simulation algorithms for near-term quantum hardware
    Clinton, Laura
    Bausch, Johannes
    Cubitt, Toby
    NATURE COMMUNICATIONS, 2021, 12 (01)
  • [45] Hamiltonian simulation algorithms for near-term quantum hardware
    Laura Clinton
    Johannes Bausch
    Toby Cubitt
    Nature Communications, 12
  • [46] Near-term advances in quantum natural language processing
    Widdows, Dominic
    Alexander, Aaranya
    Zhu, Daiwei
    Zimmerman, Chase
    Majumder, Arunava
    ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE, 2024, 92 (5) : 1249 - 1272
  • [47] Neural Error Mitigation of Near-Term Quantum Simulations
    Elizabeth R. Bennewitz
    Florian Hopfmueller
    Bohdan Kulchytskyy
    Juan Carrasquilla
    Pooya Ronagh
    Nature Machine Intelligence, 2022, 4 : 618 - 624
  • [48] Challenges and Opportunities of Near-Term Quantum Computing Systems
    Corcoles, Antonio D.
    Kandala, Abhinav
    Javadi-Abhari, Ali
    McClure, Douglas T.
    Cross, Andrew W.
    Temme, Kristan
    Nation, Paul D.
    Steffen, Matthias
    Gambetta, Jay M.
    PROCEEDINGS OF THE IEEE, 2020, 108 (08) : 1338 - 1352
  • [49] Near-Term Efficient Quantum Algorithms for Entanglement Analysis
    Chen, Ranyiliu
    Zhao, Benchi
    Wang, Xin
    PHYSICAL REVIEW APPLIED, 2023, 20 (02)
  • [50] Simulating Prethermalization Using Near-Term Quantum Computers
    Yang, Yilun
    Christianen, Arthur
    Coll-Vinent, Sandra
    Smelyanskiy, Vadim
    Banuls, Mari Carmen
    O'Brien, Thomas E.
    Wild, Dominik S.
    Cirac, J. Ignacio
    PRX QUANTUM, 2023, 4 (03):