Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Electrically controlled on-demand photon transfer between high-Q photonic crystal nanocavities on a silicon chip

Abstract

Optical buffer memories, which do not rely on an intermediate conversion between optical and electrical signals, can be used to realize optical networks with low latency and low energy consumption. Photonic-crystal nanocavities can confine photons in a very small region for a long time, and thus may be used as core components of such optical buffer memories. However, a scalable method for on-demand photon transfer between nanocavities is required. Here we demonstrate a photonics–electronics integration solution that realizes electrical control of a coupled ultrahigh-quality-factor nanocavity system on a silicon chip. In this system, the photons confined in one of the two storage nanocavities can be transferred to the other storage nanocavity by applying a voltage pulse to the control cavity. A transfer efficiency of 76% and a cavity photon lifetime of 1.3 ns after the transfer are achieved.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: The fabricated PC chip.
Fig. 2: Time-resolved signals from cavities A and B.
Fig. 3: Voltage dependence of the photon transfer efficiency.
Fig. 4: Expected photon transfer characteristics of an improved structure.

Similar content being viewed by others

Data availability

All the data supporting the findings of this study are available within this Article and its Supplementary Information, and are also available from the corresponding author upon reasonable request.

Code availability

All associated codes for simulations are available from the corresponding author upon reasonable request.

References

  1. Noda, S. Recent progresses and future prospects of two- and three-dimensional photonic crystals. J. Lightwave Technol. 24, 4554–4567 (2006).

    Article  ADS  Google Scholar 

  2. Baba, T. Slow light in photonic crystals. Nat. Photon. 2, 465–473 (2008).

    Article  ADS  Google Scholar 

  3. Reed, G. T., Mashanovich, G., Gardes, F. Y. & Thomson, D. J. Silicon optical modulators. Nat. Photon. 4, 518–526 (2010).

    Article  ADS  Google Scholar 

  4. Arakawa, Y., Nakamura, T., Urino, Y. & Fujita, T. Silicon photonics for next generation system integration platform. IEEE Commun. Mag. 51, 72–77 (2013).

    Article  Google Scholar 

  5. Asano, T. & Noda, S. Photonic crystal devices in silicon photonics. Proc. IEEE 106, 2183–2195 (2018).

    Article  Google Scholar 

  6. Jones, R. et al. Heterogeneously integrated InP/silicon photonics: fabricating fully functional transceivers. IEEE Nanotechnol. Mag. 13, 17–26 (2019).

    Article  Google Scholar 

  7. Asano, T., Ochi, Y., Takahashi, Y., Kishimoto, K. & Noda, S. Photonic crystal nanocavity with a Q factor exceeding eleven million. Opt. Express 25, 1769–1777 (2017).

    Article  ADS  Google Scholar 

  8. Konoike, R. et al. On-demand transfer of trapped photons on a chip. Sci. Adv. 2, e1501690 (2016).

    Article  ADS  Google Scholar 

  9. Song, B.-S., Noda, S., Asano, T. & Akahane, Y. Ultra-high-Q photonic double-heterostructure nanocavity. Nat. Mater. 4, 207–210 (2005).

    Article  ADS  Google Scholar 

  10. Asano, T. & Noda, S. Optimization of photonic crystal nanocavities based on deep learning. Opt. Express 26, 32704–32717 (2018).

    Article  ADS  Google Scholar 

  11. Tanabe, T., Nishiguchi, K., Kuramochi, E. & Notomi, M. Low power and fast electro-optic silicon modulator with lateral p-i-n embedded photonic crystal nanocavity. Opt. Express 17, 22505–22513 (2009).

    Article  ADS  Google Scholar 

  12. Cocorullo, G., Della Corte, F. G. & Rendina, I. Temperature dependence of the thermo-optic coefficient in crystalline silicon between room temperature and 550 K at the wavelength of 1,523 nm. Appl. Phys. Lett. 74, 3338 (1999).

    Article  ADS  Google Scholar 

  13. Sato, Y. et al. Strong coupling between distant photonic nanocavities and its dynamic control. Nat. Photon. 6, 56–61 (2012).

    Article  ADS  Google Scholar 

  14. Konoike, R., Sato, Y., Tanaka, Y., Asano, T. & Noda, S. Adiabatic transfer scheme of light between strongly coupled photonic crystal nanocavities. Phys. Rev. B 87, 165138 (2013).

    Article  ADS  Google Scholar 

  15. Zener, C. Non-adiabatic crossing of energy levels. Proc. R. Soc. Lond. 137, 696–702 (1932).

    ADS  MATH  Google Scholar 

  16. Borselli, M., Johnson, T. J. & Painter, O. Measuring the role of surface chemistry in silicon microphotonics. Appl. Phys. Lett. 88, 2005 (2006).

    Article  Google Scholar 

  17. Li, M. et al. Photon-level tuning of photonic nanocavities. Optica 6, 860–863 (2019).

    Article  ADS  Google Scholar 

  18. Song, B.-S. et al. Ultrahigh-Q photonic crystal nanocavities based on 4H silicon carbide. Optica 6, 991–995 (2019).

    Article  ADS  Google Scholar 

  19. Lukin, D. M. et al. 4H-silicon-carbide-on-insulator for integrated quantum and nonlinear photonics. Nat. Photon. 14, 330–334 (2019).

    Article  ADS  Google Scholar 

  20. Tanaka, Y. et al. Dynamic control of the Q factor in a photonic crystal nanocavity. Nat. Mater. 6, 862–865 (2007).

    Article  ADS  Google Scholar 

  21. Konoike, R., Asano, T. & Noda, S. On-chip dynamic time reversal of light in a coupled-cavity system. APL Photonics 4, 030806 (2019).

    Article  ADS  Google Scholar 

  22. Fang, K., Yu, Z. & Fan, S. Realizing effective magnetic field for photons by controlling the phase of dynamic modulation. Nat. Photon. 6, 782–787 (2012).

    Article  ADS  Google Scholar 

  23. Estep, N., Sounas, D., Soric, J. & Alu, A. Magnetic-free non-reciprocity and isolation based on parametrically modulated coupled-resonator loops. Nat. Phys. 10, 923–927 (2014).

    Article  Google Scholar 

  24. Asano, T. & Noda, S. Optimization of photonic crystal nanocavities based on deep learning. Opt. Express 26, 32704–32717 (2018).

    Article  ADS  Google Scholar 

  25. Asano, T. & Noda, S. Iterative optimization of photonic crystal nanocavity designs by using deep neural networks. Nanophotonics 8, 2243–2256 (2019).

    Article  Google Scholar 

Download references

Acknowledgements

We thank B.S. Song for fruitful discussions. This work was partially supported by KAKENHI grants nos. 18J23217 and 19H02629, and received funding from the New Energy and Industrial Technology Development Organization (NEDO) under grant no. JPNP13004.

Author information

Authors and Affiliations

Authors

Contributions

M.N. developed the fabrication process and performed the experiment. T.A. set up the measurement system and performed the simulations of the p–i–n structure. S.N. designed the study with T.A. All authors analysed the results and contributed to the writing of the manuscript.

Corresponding authors

Correspondence to Masahiro Nakadai, Takashi Asano or Susumu Noda.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Peer review information Nature Photonics thanks Sui Yang and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplementary Information

Supplementary Figs. 1–5 and Discussion.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nakadai, M., Asano, T. & Noda, S. Electrically controlled on-demand photon transfer between high-Q photonic crystal nanocavities on a silicon chip. Nat. Photon. 16, 113–118 (2022). https://doi.org/10.1038/s41566-021-00910-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41566-021-00910-y

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing