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The path to scalable quantum computing with silicon spin qubits

Nature Nanotechnology volume 16, pages 1296–1298 (2021)Cite this article

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Silicon spin qubits have demonstrated some promising properties at the individual level, but the technology is beleaguered by a late start and high barriers to entry. To overcome these challenges, the quantum computing and electrical engineering communities will need to find novel ways to work together.

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Fig. 1: How Si qubits could benefit from looking to CMOS to scale up.

References

  1. IBM Unveils a Quantum Computing Roadmap that Will Take Them to One Million Qubits and Beyond (Quantum Computing Report, 2021); https://quantumcomputingreport.com/ibm-unveils-a-quantum-computing-roadmap-that-will-take-them-to-onemillion-qubits-and-beyond/

  2. Rigetti Computing Introduces World’s First Scalable Multi-chip Quantum Processor (Rigetti Computing, 2021); https://www.globenewswire.com/news-release/2021/06/29/2255028/0/en/Rigetti-Computing-introduces-world-s-first-scalablemulti-chip-quantum-processor.html

  3. Veldhorst, M. et al. Nature 526, 410–414 (2015).

    Article  CAS  Google Scholar 

  4. Hendrickx, N. W. et al. Nature 591, 580–585 (2021).

    Article  CAS  Google Scholar 

  5. Stano, P. & Loss, D. Preprint at https://arxiv.org/abs/2107.06485 (2021).

  6. Huang, W. et al. Nature 569, 532–536 (2019).

    Article  CAS  Google Scholar 

  7. Xue, X. et al. Preprint at https://arxiv.org/abs/2107.00628 (2021).

  8. Fowler, A. G. et al. Phys. Rev. A 86, 032324 (2012).

    Article  Google Scholar 

  9. Vinet, M. et al. Towards scalable silicon quantum computing. In 2018 IEEE International Electron Devices Meeting (IEDM) (IEEE, 2018).

  10. Petit, L. et al. Nature 580, 355–359 (2020).

    Article  CAS  Google Scholar 

  11. Pla, J. J. et al. Nature 489, 541–545 (2012).

    Article  CAS  Google Scholar 

  12. Maurand, R. et al. Nat. Commun. 7, 13575 (2016).

    Article  CAS  Google Scholar 

  13. Nakamura, Y., Pashkin, Y. & Tsai, J. Nature 398, 786–788 (1999).

    Article  CAS  Google Scholar 

  14. Loss, D. & DiVincenzo, D. Phys. Rev. A 57, 120 (1998).

    Article  CAS  Google Scholar 

  15. Petta, J. R. et al. Science 309, 2180–2184 (2005).

    Article  CAS  Google Scholar 

  16. Meunier, T. et al. Qubit read-out in semiconductor quantum processors: challenges and perspectives. In 2019 IEEE International Electron Devices Meeting (IEDM) (IEEE, 2019).

  17. Le Guevel, L. et al. Appl. Phys. Rev. 7, 041407 (2020).

    Article  Google Scholar 

  18. Intel’s 10 nm Technology: Delivering the Highest Logic Transistor Density in the Industry Through the Use of Hyper Scaling (Intel, 2017); https://newsroom.intel.com/newsroom/wp-content/uploads/sites/11/2017/09/10-nm-icf-fact-sheet.pdf

  19. Mazzocchi, V. et al. J. Cryst. Growth https://doi.org/10.1016/j.jcrysgro.2018.12.010 (2019).

  20. Thorbeck, T. & Zimmerman, N. M. AIP Adv. 5, 087107 (2015).

    Article  Google Scholar 

  21. Zhang, Q. et al. IEEE Trans. Electron Devices https://doi.org/10.1109/TED.2013.2295715 (2014).

  22. Gargini, P. Roadmap Past, Present and Future. In Proc. Surface Preparation and Cleaning Conference, keynote presentation (SPCC, 2016).

  23. Langione, M. et al. Where Will Quantum Computers Create Value—and When? (BCG, 2019); https://www.bcg.com/ennl/publications/2019/quantum-computers-create-value-when

  24. Vandersypen, L. & van Leeuwenhoek, A. Quantum computing - the next challenge in circuit and system design. In 2017 IEEE International Solid-State Circuits Conference (ISSCC) (IEEE, 2017).

  25. Niquet, Y. M. et al. Challenges and perspectives in the modeling of spin qubits. In 2020 IEEE International Electron Devices Meeting (IEDM) (IEEE, 2020).

Download references

Acknowledgements

I would like to thank my close colleagues F. Perruchot and T. Meunier for our fruitful discussions and their contribution to this comment.

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  1. CEA Leti, Université Grenoble Alpes, Grenoble, France

    Maud Vinet

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Correspondence to Maud Vinet.

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The author declares no competing interests.

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Peer review information Nature Nanotechnology thanks the anonymous reviewers for their contribution to the peer review of this work.

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Vinet, M. The path to scalable quantum computing with silicon spin qubits. Nat. Nanotechnol. 16, 1296–1298 (2021). https://doi.org/10.1038/s41565-021-01037-5

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