IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v602y2022i7897d10.1038_s41586-021-04349-7.html
   My bibliography  Save this article

Resolving the gravitational redshift across a millimetre-scale atomic sample

Author

Listed:
  • Tobias Bothwell

    (JILA, National Institute of Standards and Technology and University of Colorado, Department of Physics, University of Colorado)

  • Colin J. Kennedy

    (JILA, National Institute of Standards and Technology and University of Colorado, Department of Physics, University of Colorado
    Quantinuum)

  • Alexander Aeppli

    (JILA, National Institute of Standards and Technology and University of Colorado, Department of Physics, University of Colorado)

  • Dhruv Kedar

    (JILA, National Institute of Standards and Technology and University of Colorado, Department of Physics, University of Colorado)

  • John M. Robinson

    (JILA, National Institute of Standards and Technology and University of Colorado, Department of Physics, University of Colorado)

  • Eric Oelker

    (JILA, National Institute of Standards and Technology and University of Colorado, Department of Physics, University of Colorado
    University of Glasgow)

  • Alexander Staron

    (JILA, National Institute of Standards and Technology and University of Colorado, Department of Physics, University of Colorado)

  • Jun Ye

    (JILA, National Institute of Standards and Technology and University of Colorado, Department of Physics, University of Colorado)

Abstract

Einstein’s theory of general relativity states that clocks at different gravitational potentials tick at different rates relative to lab coordinates—an effect known as the gravitational redshift1. As fundamental probes of space and time, atomic clocks have long served to test this prediction at distance scales from 30 centimetres to thousands of kilometres2–4. Ultimately, clocks will enable the study of the union of general relativity and quantum mechanics once they become sensitive to the finite wavefunction of quantum objects oscillating in curved space-time. Towards this regime, we measure a linear frequency gradient consistent with the gravitational redshift within a single millimetre-scale sample of ultracold strontium. Our result is enabled by improving the fractional frequency measurement uncertainty by more than a factor of 10, now reaching 7.6 × 10−21. This heralds a new regime of clock operation necessitating intra-sample corrections for gravitational perturbations.

Suggested Citation

  • Tobias Bothwell & Colin J. Kennedy & Alexander Aeppli & Dhruv Kedar & John M. Robinson & Eric Oelker & Alexander Staron & Jun Ye, 2022. "Resolving the gravitational redshift across a millimetre-scale atomic sample," Nature, Nature, vol. 602(7897), pages 420-424, February.
  • Handle: RePEc:nat:nature:v:602:y:2022:i:7897:d:10.1038_s41586-021-04349-7
    DOI: 10.1038/s41586-021-04349-7
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41586-021-04349-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/s41586-021-04349-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Raphael Jannin & Yuri Werf & Kees Steinebach & Hendrick L. Bethlem & Kjeld S. E. Eikema, 2022. "Pauli blocking of stimulated emission in a degenerate Fermi gas," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
    2. Xin Zheng & Jonathan Dolde & Matthew C. Cambria & Hong Ming Lim & Shimon Kolkowitz, 2023. "A lab-based test of the gravitational redshift with a miniature clock network," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    3. Malte Reinschmidt & József Fortágh & Andreas Günther & Valentin V. Volchkov, 2024. "Reinforcement learning in cold atom experiments," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    4. Chenghao Lao & Xing Jin & Lin Chang & Heming Wang & Zhe Lv & Weiqiang Xie & Haowen Shu & Xingjun Wang & John E. Bowers & Qi-Fan Yang, 2023. "Quantum decoherence of dark pulses in optical microresonators," Nature Communications, Nature, vol. 14(1), pages 1-8, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:602:y:2022:i:7897:d:10.1038_s41586-021-04349-7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.