Skip to main content
Log in

QUANTUM INFORMATION

Enter the machine

  • News & Views
  • Published:

From Nature Physics

View current issue Submit your manuscript

Quantum tomography infers quantum states from measurement data, but it becomes infeasible for large systems. Machine learning enables tomography of highly entangled many-body states and suggests a new powerful approach to this problem.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1: Quantum state reconstruction using machine learning.

References

  1. Ohliger, M., Nesme, V. & Eisert, J. New J. Phys. 15, 015024 (2013).

    Article  ADS  Google Scholar 

  2. Torlai, G. et al. Nat. Phys. https://doi.org/10.1038/s41567-018-0048-5 (2018).

  3. Fischer, A. & Igel, C. Pattern Recognit. 47, 25–39 (2014).

    Article  Google Scholar 

  4. Chen, J., Cheng, S., Xie, H., Wang, L. & Xiang, T. Phys Rev. B 97, 085104 (2018).

  5. Bouchiat, C. J. Phys. France 50, 1041–1055 (1989).

    Article  MathSciNet  Google Scholar 

  6. Burgarth, D., Maruyama, K. & Nori, F. New J. Phys. 13, 013019 (2011).

    Article  ADS  Google Scholar 

  7. Renyi, A. in Proc. Fourth Berkeley Symp. Math. Statist. Prob. 1, 547–561 (Univ. of California Press, 1961).

  8. Du, K.-L. & Swamy, M. N. S. Neural Networks and Statistical Learning 15–65 (Springer, London, 2014).

  9. Smyth, P. Stat. Comput. 10, 63–72 (2000).

    Article  Google Scholar 

  10. Biamonte, J. et al. Nature 549, 195–202 (2017).

    Article  ADS  Google Scholar 

  11. Cramer, M. et al. Nat. Commun. 1, 149 (2010).

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Pantita Palittapongarnpim or Barry C. Sanders.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Palittapongarnpim, P., Sanders, B.C. Enter the machine. Nature Phys 14, 432–433 (2018). https://doi.org/10.1038/s41567-018-0061-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41567-018-0061-8

  • Springer Nature Limited

Navigation