IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2305.19865.html
   My bibliography  Save this paper

Proof-of-work consensus by quantum sampling

Author

Listed:
  • Deepesh Singh
  • Gopikrishnan Muraleedharan
  • Boxiang Fu
  • Chen-Mou Cheng
  • Nicolas Roussy Newton
  • Peter P. Rohde
  • Gavin K. Brennen

Abstract

Since its advent in 2011, boson sampling has been a preferred candidate for demonstrating quantum advantage because of its simplicity and near-term requirements compared to other quantum algorithms. We propose to use a variant, called coarse-grained boson-sampling (CGBS), as a quantum Proof-of-Work (PoW) scheme for blockchain consensus. The users perform boson sampling using input states that depend on the current block information and commit their samples to the network. Afterwards, CGBS strategies are determined which can be used to both validate samples and reward successful miners. By combining rewards for miners committing honest samples together with penalties for miners committing dishonest samples, a Nash equilibrium is found that incentivizes honest nodes. We provide numerical evidence that these validation tests are hard to spoof classically without knowing the binning scheme ahead of time and show the robustness of our protocol to small partial distinguishability of photons. The scheme works for both Fock state boson sampling and Gaussian boson sampling and provides dramatic speedup and energy savings relative to computation by classical hardware.

Suggested Citation

  • Deepesh Singh & Gopikrishnan Muraleedharan & Boxiang Fu & Chen-Mou Cheng & Nicolas Roussy Newton & Peter P. Rohde & Gavin K. Brennen, 2023. "Proof-of-work consensus by quantum sampling," Papers 2305.19865, arXiv.org, revised Sep 2024.
  • Handle: RePEc:arx:papers:2305.19865
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2305.19865
    File Function: Latest version
    Download Restriction: no
    ---><---

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:arx:papers:2305.19865. 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.