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:

Quantum simulation of conical intersections using trapped ions

Abstract

Conical intersections often control the reaction products of photochemical processes and occur when two electronic potential energy surfaces intersect. Theory predicts that the conical intersection will result in a geometric phase for a wavepacket on the ground potential energy surface, and although conical intersections have been observed experimentally, the geometric phase has not been directly observed in a molecular system. Here we use a trapped atomic ion system to perform a quantum simulation of a conical intersection. The ion’s internal state serves as the electronic state, and the motion of the atomic nuclei is encoded into the motion of the ions. The simulated electronic potential is constructed by applying state-dependent optical forces to the ion. We experimentally observe a clear manifestation of the geometric phase using adiabatic state preparation followed by motional state measurement. Our experiment shows the advantage of combining spin and motion degrees for quantum simulation of chemical reactions.

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: Overview of the simulated conical intersection and the effects on the wavefunction.
Fig. 2: Experimental data before the Fourier transform.
Fig. 3: Experimental data after the Fourier transform.

Similar content being viewed by others

Data availability

Source data are provided with this paper.

References

  1. McArdle, S., Endo, S., Aspuru-Guzik, A., Benjamin, S. C. & Yuan, X. Quantum computational chemistry. Rev. Mod. Phys. 92, 015003 (2020).

    Article  CAS  Google Scholar 

  2. Kassal, I., Jordan, S. P., Love, P. J., Mohseni, M. & Aspuru-Guzik, A. Polynomial-time quantum algorithm for the simulation of chemical dynamics. Proc. Natl Acad. Sci. USA 105, 18681–18686 (2008).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Larson, J., Sjöqvist, E. & Öhberg, P. Conical Intersections in Physics (Springer, 2020).

  4. Yarkony, D. R. Diabolical conical intersections. Rev. Mod. Phys. 68, 985 (1996).

    Article  CAS  Google Scholar 

  5. Berry, M. V. Quantal phase factors accompanying adiabatic changes. Proc. R. Soc. Lond. A. 392, 45–57 (1984).

    Article  Google Scholar 

  6. Cina, J. A., Smith Jr, T. J. & Romero-Rochín, V. Time-resolved optical tests for electronic geometric phase development. Adv. Chem. Phys. 83, 1–42 (1992).

    Google Scholar 

  7. Cina, J. A. Phase-controlled optical pulses and the adiabatic electronic sign change. Phys. Rev. Lett. 66, 1146 (1991).

    Article  CAS  PubMed  Google Scholar 

  8. Farag, M. H., Jansen, T. L. & Knoester, J. Probing the interstate coupling near a conical intersection by optical spectroscopy. J. Phys. Chem. Lett. 7, 3328–3334 (2016).

    Article  CAS  PubMed  Google Scholar 

  9. Köppel, H. Ultrafast non-radiative decay via conical intersections of molecular potential-energy surfaces: C2H4+. Chem. Phys. 77, 359–375 (1983).

    Article  Google Scholar 

  10. Chen, L., Gelin, M. F., Zhao, Y. & Domcke, W. Mapping of wave packet dynamics at conical intersections by time-and frequency-resolved fluorescence spectroscopy: a computational study. J. Phys. Chem. Lett. 10, 5873–5880 (2019).

    Article  CAS  PubMed  Google Scholar 

  11. Blatt, R. & Roos, C. F. Quantum simulations with trapped ions. Nat. Phys. 8, 277–284 (2012).

    Article  CAS  Google Scholar 

  12. Lloyd, S. Universal quantum simulators. Science 273, 1073–1078 (1996).

    Article  CAS  PubMed  Google Scholar 

  13. MacDonell, R. J. et al. Analog quantum simulation of chemical dynamics. Chem. Sci. 12, 9794–9805 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Gambetta, F. M., Zhang, C., Hennrich, M., Lesanovsky, I. & Li, W. Exploring the many-body dynamics near a conical intersection with trapped rydberg ions. Phys. Rev. Lett. 126, 233404 (2021).

    Article  CAS  PubMed  Google Scholar 

  15. Wüster, S., Eisfeld, A. & Rost, J. Conical intersections in an ultracold gas. Phys. Rev. Lett. 106, 153002 (2011).

    Article  PubMed  Google Scholar 

  16. Wüster, S. & Rost, J. M. Rydberg aggregates. J. Phys. B. 51, 032001 (2018).

    Article  Google Scholar 

  17. MacDonell, R. J. et al. Predicting molecular vibronic spectra using time-domain analog quantum simulation. Preprint at arXiv https://doi.org/10.48550/arXiv.2209.06558 (2022).

  18. Omiya, K. et al. Analytical energy gradient for state-averaged orbital-optimized variational quantum eigensolvers and its application to a photochemical reaction. J. Chem. Theory Comput. 18, 741–748 (2022).

    Article  CAS  PubMed  Google Scholar 

  19. Tamiya, S., Koh, S. & Nakagawa, Y. O. Calculating nonadiabatic couplings and berry’s phase by variational quantum eigensolvers. Phys. Rev. Res. 3, 023244 (2021).

    Article  CAS  Google Scholar 

  20. Wang, C. S. et al. Observation of wave-packet branching through an engineered conical intersection. Phys. Rev. X 13, 011008 (2023).

    CAS  Google Scholar 

  21. Brown, C. D. et al. Direct geometric probe of singularities in band structure. Science 377, 1319–1322 (2022).

    Article  CAS  PubMed  Google Scholar 

  22. Nam, Y. et al. Ground-state energy estimation of the water molecule on a trapped-ion quantum computer. npj Quantum Inf. 6, 1–6 (2020).

    Article  Google Scholar 

  23. Hempel, C. et al. Quantum chemistry calculations on a trapped-ion quantum simulator. Phys. Rev. X 8, 031022 (2018).

    CAS  Google Scholar 

  24. Porras, D., Ivanov, P. A. & Schmidt-Kaler, F. Quantum simulation of the cooperative Jahn–Teller transition in 1D ion crystals. Phys. Rev. Lett. 108, 235701 (2012).

    Article  PubMed  Google Scholar 

  25. Gorman, D. J. et al. Engineering vibrationally assisted energy transfer in a trapped-ion quantum simulator. Phys. Rev. X 8, 011038 (2018).

    CAS  Google Scholar 

  26. Richerme, P. et al. Quantum computation of hydrogen bond dynamics and vibrational spectra. Preprint at arXiv https://doi.org/10.48550/arXiv.2204.08571 (2022).

  27. Monroe, C. et al. Programmable quantum simulations of spin systems with trapped ions. Rev. Mod. Phys. 93, 025001 (2021).

    Article  CAS  Google Scholar 

  28. Nguyen, N. H. et al. Digital quantum simulation of the Schwinger model and symmetry protection with trapped ions. PRX Quantum 3, 020324 (2022).

    Article  Google Scholar 

  29. Georgescu, I. M., Ashhab, S. & Nori, F. Quantum simulation. Rev. Mod. Phys. 86, 153 (2014).

    Article  Google Scholar 

  30. Berry, M. et al. Anticipations of the geometric phase. Phys. Today 43, 34–40 (1990).

    Article  Google Scholar 

  31. Longuet-Higgins, H. C., Öpik, U., Pryce, M. H. L. & Sack, R. Studies of the Jahn–Teller effect. II. The dynamical problem. Proc. R. Soc. Lond. A 244, 1–16 (1958).

    Article  CAS  Google Scholar 

  32. Manchon, A., Koo, H. C., Nitta, J., Frolov, S. & Duine, R. New perspectives for Rashba spin–orbit coupling. Nat. Mater. 14, 871–882 (2015).

    Article  CAS  PubMed  Google Scholar 

  33. Lin, Y.-J., Jiménez-García, K. & Spielman, I. B. Spin–orbit-coupled Bose–Einstein condensates. Nature 471, 83–86 (2011).

    Article  CAS  PubMed  Google Scholar 

  34. Wang, Y. et al. High-fidelity two-qubit gates using a microelectromechanical-system-based beam steering system for individual qubit addressing. Phys. Rev. Lett. 125, 150505 (2020).

    Article  CAS  PubMed  Google Scholar 

  35. Jia, Z. et al. Determination of multimode motional quantum states in a trapped ion system. Phys. Rev. Lett. 129, 103602 (2022).

    Article  CAS  PubMed  Google Scholar 

  36. Wineland, D. J. et al. Experimental issues in coherent quantum-state manipulation of trapped atomic ions. J. Res. Natl. Inst. Stand. Technol. 103, 259 (1998).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Gerritsma, R. et al. Quantum simulation of the dirac equation. Nature 463, 68–71 (2010).

    Article  CAS  PubMed  Google Scholar 

  38. Flühmann, C. & Home, J. P. Direct characteristic-function tomography of quantum states of the trapped-ion motional oscillator. Phys. Rev. Lett. 125, 043602 (2020).

    Article  PubMed  Google Scholar 

  39. Katz, O. & Monroe, C. Programmable quantum simulations of bosonic systems with trapped ions. Phys. Rev. Lett. 131, 033604 (2023).

    Article  CAS  PubMed  Google Scholar 

  40. Katz, O., Cetina, M. & Monroe, C. Programmable N-body interactions with trapped ions. Preprint at arXiv https://doi.org/10.48550/arXiv.2207.10550 (2022).

  41. Lemmer, A. et al. A trapped-ion simulator for spin-boson models with structured environments. New J. Phys. 20, 073002 (2018).

    Article  Google Scholar 

  42. Roos, C. F. Ion trap quantum gates with amplitude-modulated laser beams. New J. Phys. 10, 013002 (2008).

    Article  Google Scholar 

  43. Leung, P. H. et al. Robust 2-qubit gates in a linear ion crystal using a frequency-modulated driving force. Phys. Rev. Lett. 120, 020501 (2018).

    Article  CAS  PubMed  Google Scholar 

  44. Batista, C. & Ortiz, G. Generalized Jordan–Wigner transformations. Phys. Rev. Lett. 86, 1082 (2001).

    Article  CAS  PubMed  Google Scholar 

  45. Seeley, J. T., Richard, M. J. & Love, P. J. The Bravyi–Kitaev transformation for quantum computation of electronic structure. J. Chem. Phys. 137, 224109 (2012).

    Article  PubMed  Google Scholar 

  46. Valahu, C. H. et al. Direct observation of geometric phase in dynamics around a conical intersection. Preprint at arXiv https://doi.org/10.48550/arXiv.2211.07320 (2022).

  47. Johansson, J. R., Nation, P. D. & Nori, F. QuTiP: an open-source python framework for the dynamics of open quantum systems. Comput. Phys. Commun. 183, 1760–1772 (2012).

    Article  CAS  Google Scholar 

  48. Olmschenk, S. et al. Manipulation and detection of a trapped yb+ hyperfine qubit. Phys. Rev. A 76, 052314 (2007).

    Article  Google Scholar 

  49. Revelle, M. C. Phoenix and peregrine ion traps. Preprint at arXiv https://doi.org/10.48550/arXiv.2009.02398 (2020).

  50. Debnath, S. A Programmable Five Qubit Quantum Computer Using Trapped Atomic Ions. Ph.D. thesis, University of Maryland, College Park (2016).

  51. Hayes, D. et al. Entanglement of atomic qubits using an optical frequency comb. Phys. Rev. Lett. 104, 140501 (2010).

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We thank C. Valahu, V. Olaya-Agudelo, T. Rei Tan, I. Kassal, M. Biercuk and E. Novakoski for insightful discussions. This work was supported by the Office of the Director of National Intelligence, Intelligence Advanced Research Projects Activity through ARO contract W911NF-16-1-0082 (Z.J., Y.W., C.F., J.K. and K.R.B.), the National Science Foundation STAQ Project Phy-1818914 (J.W., J.K. and K.R.B.) and the U.S. Department of Energy, Office of Advanced Scientific Computing Research QSCOUT programme (K.R.B.), DOE basic energy sciences award no. DE-0019449 (Y.W., C.F., J.K. and K.R.B.), ARO MURI grant no. W911NF-18-1-0218 (K.R.B) and NSF Quantum Leap Challenge Institute for Robust Quantum Simulation grant no. OMA-2120757 (K.R.B.).

Author information

Authors and Affiliations

Authors

Contributions

J.W. performed classical simulations, designed and ran the experiment, and wrote the paper. Z.J. performed classical simulations and designed the experiment. Y.W. and C.F. built and maintained the experimental setup. J.K. supervised the experimental setup. K.R.B. developed the original project idea and supervised the research.

Corresponding author

Correspondence to Kenneth R. Brown.

Ethics declarations

Competing interests

K.R.B. is a scientific advisor for IonQ, Inc. and has a personal financial interest in the company. The remaining authors declare no competing interests.

Peer review

Peer review information

Nature Chemistry thanks Tsveta Miteva and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

Additional information

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

Supplementary information

Supplementary Information

Supplementary Notes 1–4 and Figs. 1 and 2.

Source data

Source Data Fig. 2

Population of second ion in excited state, 100 trials each.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Whitlow, J., Jia, Z., Wang, Y. et al. Quantum simulation of conical intersections using trapped ions. Nat. Chem. 15, 1509–1514 (2023). https://doi.org/10.1038/s41557-023-01303-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41557-023-01303-0

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