IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v15y2024i1d10.1038_s41467-024-49302-0.html
   My bibliography  Save this article

Cavity-enhanced single artificial atoms in silicon

Author

Listed:
  • Valeria Saggio

    (Massachusetts Institute of Technology)

  • Carlos Errando-Herranz

    (Massachusetts Institute of Technology
    University of Münster)

  • Samuel Gyger

    (Massachusetts Institute of Technology
    KTH Royal Institute of Technology)

  • Christopher Panuski

    (Massachusetts Institute of Technology)

  • Mihika Prabhu

    (Massachusetts Institute of Technology)

  • Lorenzo Santis

    (Massachusetts Institute of Technology
    Delft University of Technology)

  • Ian Christen

    (Massachusetts Institute of Technology)

  • Dalia Ornelas-Huerta

    (Massachusetts Institute of Technology)

  • Hamza Raniwala

    (Massachusetts Institute of Technology)

  • Connor Gerlach

    (Massachusetts Institute of Technology)

  • Marco Colangelo

    (Massachusetts Institute of Technology)

  • Dirk Englund

    (Massachusetts Institute of Technology)

Abstract

Artificial atoms in solids are leading candidates for quantum networks, scalable quantum computing, and sensing, as they combine long-lived spins with mobile photonic qubits. Recently, silicon has emerged as a promising host material where artificial atoms with long spin coherence times and emission into the telecommunications band can be controllably fabricated. This field leverages the maturity of silicon photonics to embed artificial atoms into the world’s most advanced microelectronics and photonics platform. However, a current bottleneck is the naturally weak emission rate of these atoms, which can be addressed by coupling to an optical cavity. Here, we demonstrate cavity-enhanced single artificial atoms in silicon (G-centers) at telecommunication wavelengths. Our results show enhancement of their zero phonon line intensities along with highly pure single-photon emission, while their lifetime remains statistically unchanged. We suggest the possibility of two different existing types of G-centers, shedding new light on the properties of silicon emitters.

Suggested Citation

  • Valeria Saggio & Carlos Errando-Herranz & Samuel Gyger & Christopher Panuski & Mihika Prabhu & Lorenzo Santis & Ian Christen & Dalia Ornelas-Huerta & Hamza Raniwala & Connor Gerlach & Marco Colangelo , 2024. "Cavity-enhanced single artificial atoms in silicon," Nature Communications, Nature, vol. 15(1), pages 1-6, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-49302-0
    DOI: 10.1038/s41467-024-49302-0
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-024-49302-0
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-024-49302-0?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. W. Redjem & Y. Zhiyenbayev & W. Qarony & V. Ivanov & C. Papapanos & W. Liu & K. Jhuria & Z. Y. Al Balushi & S. Dhuey & A. Schwartzberg & L. Z. Tan & T. Schenkel & B. Kanté, 2023. "All-silicon quantum light source by embedding an atomic emissive center in a nanophotonic cavity," Nature Communications, Nature, vol. 14(1), pages 1-7, December.
    2. Daniel B. Higginbottom & Alexander T. K. Kurkjian & Camille Chartrand & Moein Kazemi & Nicholas A. Brunelle & Evan R. MacQuarrie & James R. Klein & Nicholas R. Lee-Hone & Jakub Stacho & Myles Ruether , 2022. "Optical observation of single spins in silicon," Nature, Nature, vol. 607(7918), pages 266-270, July.
    3. Salim Ourari & Łukasz Dusanowski & Sebastian P. Horvath & Mehmet T. Uysal & Christopher M. Phenicie & Paul Stevenson & Mouktik Raha & Songtao Chen & Robert J. Cava & Nathalie P. Leon & Jeff D. Thompso, 2023. "Indistinguishable telecom band photons from a single Er ion in the solid state," Nature, Nature, vol. 620(7976), pages 977-981, August.
    4. Wim Bogaerts & Daniel Pérez & José Capmany & David A. B. Miller & Joyce Poon & Dirk Englund & Francesco Morichetti & Andrea Melloni, 2020. "Programmable photonic circuits," Nature, Nature, vol. 586(7828), pages 207-216, October.
    5. Michael Hollenbach & Nico Klingner & Nagesh S. Jagtap & Lothar Bischoff & Ciarán Fowley & Ulrich Kentsch & Gregor Hlawacek & Artur Erbe & Nikolay V. Abrosimov & Manfred Helm & Yonder Berencén & Georgy, 2022. "Wafer-scale nanofabrication of telecom single-photon emitters in silicon," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
    Full references (including those not matched with items on IDEAS)

    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. Andreas Gritsch & Alexander Ulanowski & Jakob Pforr & Andreas Reiserer, 2025. "Optical single-shot readout of spin qubits in silicon," Nature Communications, Nature, vol. 16(1), pages 1-7, December.
    2. Aaron M. Day & Madison Sutula & Jonathan R. Dietz & Alexander Raun & Denis D. Sukachev & Mihir K. Bhaskar & Evelyn L. Hu, 2024. "Electrical manipulation of telecom color centers in silicon," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
    3. Adam Johnston & Ulises Felix-Rendon & Yu-En Wong & Songtao Chen, 2024. "Cavity-coupled telecom atomic source in silicon," Nature Communications, Nature, vol. 15(1), pages 1-7, December.
    4. K. Jhuria & V. Ivanov & D. Polley & Y. Zhiyenbayev & W. Liu & A. Persaud & W. Redjem & W. Qarony & P. Parajuli & Q. Ji & A. J. Gonsalves & J. Bokor & L. Z. Tan & B. Kanté & T. Schenkel, 2024. "Programmable quantum emitter formation in silicon," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
    5. Lukasz Komza & Polnop Samutpraphoot & Mutasem Odeh & Yu-Lung Tang & Milena Mathew & Jiu Chang & Hanbin Song & Myung-Ki Kim & Yihuang Xiong & Geoffroy Hautier & Alp Sipahigil, 2024. "Indistinguishable photons from an artificial atom in silicon photonics," Nature Communications, Nature, vol. 15(1), pages 1-5, December.
    6. H. H. Zhu & J. Zou & H. Zhang & Y. Z. Shi & S. B. Luo & N. Wang & H. Cai & L. X. Wan & B. Wang & X. D. Jiang & J. Thompson & X. S. Luo & X. H. Zhou & L. M. Xiao & W. Huang & L. Patrick & M. Gu & L. C., 2022. "Space-efficient optical computing with an integrated chip diffractive neural network," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    7. Yang Yang & Robert J. Chapman & Ben Haylock & Francesco Lenzini & Yogesh N. Joglekar & Mirko Lobino & Alberto Peruzzo, 2024. "Programmable high-dimensional Hamiltonian in a photonic waveguide array," Nature Communications, Nature, vol. 15(1), pages 1-7, December.
    8. Mark Dong & Julia M. Boyle & Kevin J. Palm & Matthew Zimmermann & Alex Witte & Andrew J. Leenheer & Daniel Dominguez & Gerald Gilbert & Matt Eichenfield & Dirk Englund, 2023. "Synchronous micromechanically resonant programmable photonic circuits," Nature Communications, Nature, vol. 14(1), pages 1-8, December.
    9. Kaihang Lu & Zengqi Chen & Hao Chen & Wu Zhou & Zunyue Zhang & Hon Ki Tsang & Yeyu Tong, 2024. "Empowering high-dimensional optical fiber communications with integrated photonic processors," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
    10. Mehmet Berkay On & Farshid Ashtiani & David Sanchez-Jacome & Daniel Perez-Lopez & S. J. Ben Yoo & Andrea Blanco-Redondo, 2024. "Programmable integrated photonics for topological Hamiltonians," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
    11. Han Zhao & Bingzhao Li & Huan Li & Mo Li, 2022. "Enabling scalable optical computing in synthetic frequency dimension using integrated cavity acousto-optics," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
    12. Miltiadis Moralis-Pegios & George Giamougiannis & Apostolos Tsakyridis & David Lazovsky & Nikos Pleros, 2024. "Perfect linear optics using silicon photonics," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
    13. Steven Becker & Dirk Englund & Birgit Stiller, 2024. "An optoacoustic field-programmable perceptron for recurrent neural networks," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
    14. Pasquale Cilibrizzi & Muhammad Junaid Arshad & Benedikt Tissot & Nguyen Tien Son & Ivan G. Ivanov & Thomas Astner & Philipp Koller & Misagh Ghezellou & Jawad Ul-Hassan & Daniel White & Christiaan Bekk, 2023. "Ultra-narrow inhomogeneous spectral distribution of telecom-wavelength vanadium centres in isotopically-enriched silicon carbide," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    15. Michael Hollenbach & Nico Klingner & Nagesh S. Jagtap & Lothar Bischoff & Ciarán Fowley & Ulrich Kentsch & Gregor Hlawacek & Artur Erbe & Nikolay V. Abrosimov & Manfred Helm & Yonder Berencén & Georgy, 2022. "Wafer-scale nanofabrication of telecom single-photon emitters in silicon," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
    16. Maoliang Wei & Kai Xu & Bo Tang & Junying Li & Yiting Yun & Peng Zhang & Yingchun Wu & Kangjian Bao & Kunhao Lei & Zequn Chen & Hui Ma & Chunlei Sun & Ruonan Liu & Ming Li & Lan Li & Hongtao Lin, 2024. "Monolithic back-end-of-line integration of phase change materials into foundry-manufactured silicon photonics," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    17. G. L. Stolpe & D. P. Kwiatkowski & C. E. Bradley & J. Randall & M. H. Abobeih & S. A. Breitweiser & L. C. Bassett & M. Markham & D. J. Twitchen & T. H. Taminiau, 2024. "Mapping a 50-spin-qubit network through correlated sensing," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    18. Ran Xue & Max Beer & Inga Seidler & Simon Humpohl & Jhih-Sian Tu & Stefan Trellenkamp & Tom Struck & Hendrik Bluhm & Lars R. Schreiber, 2024. "Si/SiGe QuBus for single electron information-processing devices with memory and micron-scale connectivity function," Nature Communications, Nature, vol. 15(1), pages 1-7, December.
    19. Shi-Yuan Ma & Tianyu Wang & Jérémie Laydevant & Logan G. Wright & Peter L. McMahon, 2025. "Quantum-limited stochastic optical neural networks operating at a few quanta per activation," Nature Communications, Nature, vol. 16(1), pages 1-12, December.
    20. Souza, Dayane S.R. & Sampaio, Luciano M.B. & Sampaio, Raquel M.B., 2024. "Does the area and learning modality of teacher qualification matter to middle school students’ performance in mathematics?," International Journal of Educational Development, Elsevier, vol. 109(C).

    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:15:y:2024:i:1:d:10.1038_s41467-024-49302-0. 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.