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Cited by 871

The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.

Error mitigation extends the computational reach of a noisy quantum processor

Open access
Kandala, Abhinav, Temme, Kristan, Córcoles, Antonio D., Mezzacapo, Antonio, Chow, Jerry M., Gambetta, Jay M.·2019·Nature
DOI 10.1038/s41586-019-1040-7
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Abstract

Quantum computation, a paradigm of computing that is completely different from classical methods, benefits from theoretically proved speed-ups for certain problems and can be used to study the properties of quantum systems1. Yet, because of the inherently fragile nature of the physical computing elements (qubits), achieving quantum advantages over classical computation requires extremely low error rates for qubit operations, as well as substantial physical qubits, to realize fault tolerance via quantum error correction2,3. However, recent theoretical work4,5 has shown that the accuracy of computation (based on expectation values of quantum observables) can be enhanced through an extrapolation of results from a collection of experiments of varying noise. Here we demonstrate this error mitigation protocol on a superconducting quantum processor, enhancing its computational capability, with no additional hardware modifications. We apply the protocol to mitigate errors in canonical single- and two-qubit experiments and then extend its application to the variational optimization6–8 of Hamiltonians for quantum chemistry and magnetism9. We effectively demonstrate that the suppression of incoherent errors helps to achieve an otherwise inaccessible level of accuracy in the variational solutions using our noisy processor. These results demonstrate that error mitigation techniques will enable substantial improvements in the capabilities of near-term quantum computing hardware. The accuracy of computations on noisy, near-term quantum systems can be enhanced by extrapolating results from experiments with various noise levels, without requiring additional hardware modifications.

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Research works printed but not linked: 5

  1. Li, Y. & Benjamin, S. C. Efficient variational quantum simulator incorporating active error minimization. Phys. Rev. X 7, 021050 (2017).
  2. Farhi, E., Goldstone, J. & Gutmann, S. A quantum approximate optimization algorithm. Preprint at https://arxiv.org/abs/1411.4028 (2014). · arXiv
  3. Endo, S., Benjamin, S. C. & Li, Y. Practical quantum error mitigation for near-future applications. Phys. Rev. X 8, 031027 (2018).
  4. Bravyi, S., Gambetta, J. M., Mezzacapo, A. & Temme, K. Tapering off qubits to simulate fermionic Hamiltonians. Preprint at https://arxiv.org/abs/1701.08213 (2017). · arXiv
  5. Magesan, E. & Gambetta, J. M. Effective Hamiltonian models of the cross-resonance gate. Preprint at https://arxiv.org/abs/1804.04073 (2018). · arXiv

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Metadata

Authors
Kandala, A., Temme, K., Córcoles, A. D., Mezzacapo, A., Chow, J. M., & Gambetta, J. M.
Venue
Nature
Publisher
Springer Science and Business Media LLC
Published
2019-03
Volume
567
Issue
7749
Pages
491-495
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
DOI
10.1038/s41586-019-1040-7
OpenAlex
W2923370183
Cited by
871
References
36
FWCI
46.16
Type
journal article
Language
en
Open access
green
Licence
www.springer.com/tdm (tdm)

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CoChat. (2026). Citation check: Error mitigation extends the computational reach of a noisy quantum processor. https://app.cochat.ai/papers/10.1038/s41586-019-1040-7
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Kandala, A., Temme, K., Córcoles, A. D., Mezzacapo, A., Chow, J. M., & Gambetta, J. M. (2019). Error mitigation extends the computational reach of a noisy quantum processor. Nature. https://doi.org/10.1038/s41586-019-1040-7

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