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Quantum computational supremacy

Author

Listed:
  • Aram W. Harrow

    (Center for Theoretical Physics, Massachusetts Institute of Technology)

  • Ashley Montanaro

    (School of Mathematics, University of Bristol)

Abstract

The field of quantum algorithms aims to find ways to speed up the solution of computational problems by using a quantum computer. A key milestone in this field will be when a universal quantum computer performs a computational task that is beyond the capability of any classical computer, an event known as quantum supremacy. This would be easier to achieve experimentally than full-scale quantum computing, but involves new theoretical challenges. Here we present the leading proposals to achieve quantum supremacy, and discuss how we can reliably compare the power of a classical computer to the power of a quantum computer.

Suggested Citation

  • Aram W. Harrow & Ashley Montanaro, 2017. "Quantum computational supremacy," Nature, Nature, vol. 549(7671), pages 203-209, September.
    • Handle: RePEc:nat:nature:v:549:y:2017:i:7671:d:10.1038_nature23458
    DOI: 10.1038/nature23458
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    Cited by:

    1. Imed Boughzala & Nesrine Ben Yahia & Narjès Bellamine Ben Saoud & Wissem Eljaoued, 2022. "Shape it better than skip it: mapping the territory of quantum computing and its transformative potential," Post-Print hal-03825319, HAL.
    2. Bikram Khanal & Pablo Rivas, 2024. "A Modified Depolarization Approach for Efficient Quantum Machine Learning," Mathematics, MDPI, vol. 12(9), pages 1-17, May.
    3. Arijit Dey & Jitendra Nath Shrivastava & Chandan Kumar, 2024. "Classical-quantum hybrid transfer learning for adverse drug reaction detection from social media posts," Journal of Computational Social Science, Springer, vol. 7(2), pages 1433-1450, October.
    4. Huang, Fangyu & Tan, Xiaoqing & Huang, Rui & Xu, Qingshan, 2022. "Variational convolutional neural networks classifiers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).

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