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Correction to: Benchmarking machine learning algorithms for adaptive quantum phase estimation with noisy intermediate-scale quantum sensors

EPJ Quantum Technology volume 8, Article number: 17 (2021) Cite this article

The Original Article was published on 03 June 2021

Following the publication of the original article [1], we were notified that the first and last name of the second author had been swapped.

Originally published name:

Omar Yasser

Corrected name:

Yasser Omar

The original article has been corrected.

References

  1. Costa NF. Benchmarking machine learning algorithms for adaptive quantum phase estimation with noisy intermediate-scale quantum sensors. EPJ Quantum Technol. 2021;8:16. https://doi.org/10.1186/s13089-021-00229-3.

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Author information

Authors and Affiliations

  1. Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal

    Nelson Filipe Costa & Yasser Omar

  2. Instituto de Telecomunicações, Physics of Information and Quantum Technologies Group, Lisbon, Portugal

    Yasser Omar

  3. QTF Centre of Excellence, Department of Applied Physics, Aalto University School of Science, Helsinki, Finland

    Aidar Sultanov & Gheorghe Sorin Paraoanu

Authors
  1. Nelson Filipe Costa
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  2. Yasser Omar
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  3. Aidar Sultanov
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  4. Gheorghe Sorin Paraoanu
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Corresponding author

Correspondence to Aidar Sultanov.

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Costa, N.F., Omar, Y., Sultanov, A. et al. Correction to: Benchmarking machine learning algorithms for adaptive quantum phase estimation with noisy intermediate-scale quantum sensors. EPJ Quantum Technol. 8, 17 (2021). https://doi.org/10.1140/epjqt/s40507-021-00106-x

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  • DOI: https://doi.org/10.1140/epjqt/s40507-021-00106-x