IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-36493-1.html
   My bibliography  Save this article

Fusion-based quantum computation

Author

Listed:
  • Sara Bartolucci

    (PsiQuantum)

  • Patrick Birchall

    (PsiQuantum)

  • Hector Bombín

    (PsiQuantum)

  • Hugo Cable

    (PsiQuantum)

  • Chris Dawson

    (PsiQuantum)

  • Mercedes Gimeno-Segovia

    (PsiQuantum)

  • Eric Johnston

    (PsiQuantum)

  • Konrad Kieling

    (PsiQuantum)

  • Naomi Nickerson

    (PsiQuantum)

  • Mihir Pant

    (PsiQuantum)

  • Fernando Pastawski

    (PsiQuantum)

  • Terry Rudolph

    (PsiQuantum)

  • Chris Sparrow

    (PsiQuantum)

Abstract

The standard primitives of quantum computing include deterministic unitary entangling gates, which are not natural operations in many systems including photonics. Here, we present fusion-based quantum computation, a model for fault tolerant quantum computing constructed from physical primitives readily accessible in photonic systems. These are entangling measurements, called fusions, which are performed on the qubits of small constant sized entangled resource states. Probabilistic photonic gates as well as errors are directly dealt with by the quantum error correction protocol. We show that this computational model can achieve a higher threshold than schemes reported in literature. We present a ballistic scheme which can tolerate a 10.4% probability of suffering photon loss in each fusion, which corresponds to a 2.7% probability of loss of each individual photon. The architecture is also highly modular and has reduced classical processing requirements compared to previous photonic quantum computing architectures.

Suggested Citation

  • Sara Bartolucci & Patrick Birchall & Hector Bombín & Hugo Cable & Chris Dawson & Mercedes Gimeno-Segovia & Eric Johnston & Konrad Kieling & Naomi Nickerson & Mihir Pant & Fernando Pastawski & Terry Ru, 2023. "Fusion-based quantum computation," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-36493-1
    DOI: 10.1038/s41467-023-36493-1
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-36493-1
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-023-36493-1?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
    ---><---

    References listed on IDEAS

    as
    1. Mihir Pant & Don Towsley & Dirk Englund & Saikat Guha, 2019. "Percolation thresholds for photonic quantum computing," Nature Communications, Nature, vol. 10(1), pages 1-11, December.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Axel M. Eriksson & Théo Sépulcre & Mikael Kervinen & Timo Hillmann & Marina Kudra & Simon Dupouy & Yong Lu & Maryam Khanahmadi & Jiaying Yang & Claudia Castillo-Moreno & Per Delsing & Simone Gasparine, 2024. "Universal control of a bosonic mode via drive-activated native cubic interactions," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    2. Terry Rudolph & Shashank Soyuz Virmani, 2023. "The two-qubit singlet/triplet measurement is universal for quantum computing given only maximally-mixed initial states," Nature Communications, Nature, vol. 14(1), pages 1-8, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shuai Shi & Biao Xu & Kuan Zhang & Gen-Sheng Ye & De-Sheng Xiang & Yubao Liu & Jingzhi Wang & Daiqin Su & Lin Li, 2022. "High-fidelity photonic quantum logic gate based on near-optimal Rydberg single-photon source," Nature Communications, Nature, vol. 13(1), pages 1-6, 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:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-36493-1. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.