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:

Continuous symmetry breaking in a trapped-ion spin chain

Abstract

One-dimensional systems exhibiting a continuous symmetry can host quantum phases of matter with true long-range order only in the presence of sufficiently long-range interactions1. In most physical systems, however, the interactions are short-ranged, hindering the emergence of such phases in one dimension. Here we use a one-dimensional trapped-ion quantum simulator to prepare states with long-range spin order that extends over the system size of up to 23 spins and is characteristic of the continuous symmetry-breaking phase of matter2,3. Our preparation relies on simultaneous control over an array of tightly focused individual addressing laser beams, generating long-range spin–spin interactions. We also observe a disordered phase with frustrated correlations. We further study the phases at different ranges of interaction and the out-of-equilibrium response to symmetry-breaking perturbations. This work opens an avenue to study new quantum phases and out-of-equilibrium dynamics in low-dimensional systems.

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: Trapped-ion crystal.
Fig. 2: Preparation of quantum phases.
Fig. 3: Long-range order.
Fig. 4: Out-of-equilibrium dynamics.

Similar content being viewed by others

Data availability

Data that support the findings of this study are available from the corresponding authors on reasonable request.

References

  1. Mermin, N. D. & Wagner, H. Absence of ferromagnetism or antiferromagnetism in one-or two-dimensional isotropic Heisenberg models. Phys. Rev, Lett. 17, 1133 (1966).

    Article  ADS  CAS  Google Scholar 

  2. Gong, Z.-X. et al. Kaleidoscope of quantum phases in a long-range interacting spin-1 chain. Phys. Rev. B 93, 205115 (2016).

    Article  ADS  Google Scholar 

  3. Maghrebi, M. F., Gong, Z.-X. & Gorshkov, A. V. Continuous symmetry breaking in 1d long-range interacting quantum systems. Phys. Rev. Lett. 119, 023001 (2017).

    Article  ADS  MathSciNet  PubMed  PubMed Central  Google Scholar 

  4. Sachdev, S. Quantum phase transitions. Phys. World 12, 33 (1999).

    Article  CAS  Google Scholar 

  5. Giamarchi, T. Quantum Physics in One Dimension, Vol. 121 (Clarendon Press, 2003).

  6. Cazalilla, M., Citro, R., Giamarchi, T., Orignac, E. & Rigol, M. One dimensional bosons: from condensed matter systems to ultracold gases. Rev. of Mod. Phys. 83, 1405 (2011).

    Article  ADS  Google Scholar 

  7. Chen, X., Gu, Z.-C. & Wen, X.-G. Classification of gapped symmetric phases in one-dimensional spin systems. Phys. Rev. B 83, 035107 (2011).

    Article  ADS  Google Scholar 

  8. Haldane, F. D. M. Nonlinear field theory of large-spin heisenberg antiferromagnets: semiclassically quantized solitons of the one-dimensional easy-axis Néel state. Phys. Rev. Lett. 50, 1153 (1983).

    Article  ADS  MathSciNet  Google Scholar 

  9. Dalla Torre, E. G., Berg, E. & Altman, E. Hidden order in 1d bose insulators. Phys. Rev. Lett. 97, 260401 (2006).

    Article  ADS  PubMed  Google Scholar 

  10. Gong, Z.-X. et al. Topological phases with long-range interactions. Phys. Rev. B 93, 041102 (2016).

    Article  ADS  Google Scholar 

  11. Ren, J., Wang, Z., Chen, W. & You, W.-L. Long-range order and quantum criticality in antiferromagnetic chains with long-range staggered interactions. Phys. Rev. E 105, 034128 (2022).

    Article  ADS  CAS  PubMed  Google Scholar 

  12. Li, Z., Choudhury, S. & Liu, W. V. Long-range-ordered phase in a quantum heisenberg chain with interactions beyond nearest neighbors. Phys. Rev. A 104, 013303 (2021).

    Article  ADS  MathSciNet  CAS  Google Scholar 

  13. Herbrych, J. et al. Block–spiral magnetism: An exotic type of frustrated order. Proc. Natl Acad. Sci. USA 117, 16226 (2020).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  14. Giachetti, G., Trombettoni, A., Ruffo, S. & Defenu, N. Berezinskii-Kosterlitz-Thouless transitions in classical and quantum long-range systems. Phys. Rev. B 106, 014106 (2022).

    Article  ADS  CAS  Google Scholar 

  15. Potirniche, I.-D., Potter, A. C., Schleier-Smith, M., Vishwanath, A. & Yao, N. Y. Floquet symmetry-protected topological phases in cold-atom systems. Phys. Rev. Lett. 119, 123601 (2017).

    Article  ADS  PubMed  Google Scholar 

  16. Patrick, K., Neupert, T. & Pachos, J. K. Topological quantum liquids with long-range couplings. Phys. Rev. Lett. 118, 267002 (2017).

    Article  ADS  PubMed  Google Scholar 

  17. Bermúdez, A., Tagliacozzo, L., Sierra, G. & Richerme, P. Long-range Heisenberg models in quasiperiodically driven crystals of trapped ions. Phys. Rev. B 95, 024431 (2017).

    Article  ADS  Google Scholar 

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

    Article  ADS  MathSciNet  CAS  Google Scholar 

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

    Article  CAS  Google Scholar 

  20. Joshi, M. K. et al. Observing emergent hydrodynamics in a long-range quantum magnet. Science 376, 720 (2022).

    Article  ADS  CAS  PubMed  Google Scholar 

  21. Zhang, J. et al. Observation of a many-body dynamical phase transition with a 53-qubit quantum simulator. Nature 551, 601 (2017).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  22. Morong, W. et al. Observation of stark many-body localization without disorder. Nature 599, 393 (2021).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  23. Dumitrescu, P. T. et al. Dynamical topological phase realized in a trapped-ion quantum simulator. Nature 607, 463 (2022).

    Article  ADS  CAS  PubMed  Google Scholar 

  24. Maunz, P. L. W. High Optical Access Trap 2.0. Technical Report (Sandia National Lab., 2016).

  25. Egan, L. et al. Fault-tolerant control of an error-corrected qubit. Nature 598, 281–286 (2021).

    Article  ADS  CAS  PubMed  Google Scholar 

  26. Katz, O., Feng, L., Risinger, A., Monroe, C. & Cetina, M. Demonstration of three- and four-body interactions between trapped-ion spins, Nat. Phys. https://doi.org/10.1038/s41567-023-02102-7 (2023).

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

    Article  ADS  Google Scholar 

  28. Egan, L. N. Scaling Quantum Computers with Long Chains of Trapped Ions. Ph.D. thesis, Univ. of Maryland (2021).

  29. Ciavarella, A. N., Caspar, S., Illa, M. & Savage, M. J. State preparation in the Heisenberg model through adiabatic spiraling. Quantum 7, 970 (2023).

    Article  Google Scholar 

  30. Chen, C. et al. Continuous symmetry breaking in a two-dimensional Rydberg array. Nature 616, 691 (2023).

    Article  ADS  CAS  PubMed  Google Scholar 

  31. Kim, K. et al. Entanglement and tunable spin-spin couplings between trapped ions using multiple transverse modes. Phys. Rev. Lett. 103, 120502 (2009).

    Article  ADS  CAS  PubMed  Google Scholar 

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

    Article  ADS  CAS  PubMed  Google Scholar 

  33. Pagano, G. et al. Quantum approximate optimization of the long-range ising model with a trapped-ion quantum simulator. Proc. Natl Acad. Sci. USA 117, 25396 (2020).

    Article  ADS  MathSciNet  CAS  PubMed  PubMed Central  Google Scholar 

  34. Jaschke, D., Wall, M. L. & Carr, L. D. Open source matrix product states: opening ways to simulate entangled many-body quantum systems in one dimension. Comput. Phys. Commun. 225, 59 (2018).

    Article  ADS  CAS  MATH  Google Scholar 

  35. Kac, M., Uhlenbeck, G. & Hemmer, P. On the Van der Waals theory of the vapor-liquid equilibrium. I. Discussion of a one-dimensional model. J. Math. Phys. 4, 216 (1963).

    Article  ADS  MathSciNet  CAS  MATH  Google Scholar 

  36. Defenu, N. Metastability and discrete spectrum of long-range systems. Proc. Natl Acad. Sci. USA 118, e2101785118 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

This work is supported in part by the ARO through the IARPA LogiQ programme; the NSF STAQ, QLCI, RAISE-TAQS and QIS programmes; the AFOSR MURIs on Dissipation Engineering in Open Quantum Systems and on Quantum Verification Protocols; the ARO MURI on Modular Quantum Circuits; the DoE ASCR Quantum Testbed Pathfinder programme; NSF CAREER; AFOSR YIP; and the W. M. Keck Foundation. Support is also acknowledged from the US Department of Energy, Office of Science, National Quantum Information Science Research Centers, Quantum Systems Accelerator.

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to the experimental design, construction and discussions, and wrote the manuscript. O.K. and L.F. collected the data, and L.F. analysed the results. C.H., Z.-X.G., M.M. and A.V.G. performed analytical and numerical calculation.

Corresponding authors

Correspondence to Lei Feng, Or Katz or Christopher Monroe.

Ethics declarations

Competing interests

C.M. is the chief scientist for IonQ, Inc. and has a personal financial interest in the company. The other authors declare no competing interests.

Peer review

Peer review information

Nature thanks the anonymous reviewers 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.

Extended data figures and tables

Extended Data Fig. 1 Partial reconstruction of the interaction matrix in the second experimental configuration.

The experimentally reconstructed Jij matrix is shown for a second experimental configuration up to five nearest neighbors. The full modeled interaction is detailed in the Methods section and is shown in Extended Data Fig. 5. This matrix exhibits long-range interaction, which is nevertheless shorter than the interaction in Fig. 1c.

Extended Data Fig. 2 Decoherence rate matrix.

The measured decoherence rate matrix Γij is extracted from the reconstruction protocol for up to five nearest neighbors (see Methods). a, The measured relaxation accompanying the interaction matrix in the first configuration (Fig. 1c). b, The measured relaxation accompanying the interaction matrix in the second configuration (Extended Data Fig. 1).

Extended Data Fig. 3 Demonstration of the reconstruction protocol.

We measure the interactions between the i = -6 ion with its up to five-nearest neighbors, by turning on the a single pair of beams addressing two ions a time. Specifically (i, j) = (-6,-5) in a, (-6,-4) in b, (-6,-3) in c, and (-6,-2) in d and (-6,-1) in e, as indicated by a dark blue sphere. We fit the staggered magnetization \({m}_{s}=\frac{1}{2}\langle {\sigma }_{z}^{i}-{\sigma }_{z}^{j}\rangle \) to the function \(y=\cos (\pi {g}^{2}{J}_{ij}t){e}^{-{g}^{2}{\Gamma }_{ij}t}\) to extract the interaction strength Jij and the decoherence rate Γij. The interaction rate as a function of the inter-ion spacing is shown in f. The fitted Jij for i = − 6 (circles). The black line corresponds to the fit function in Eq. (5) with fitting parameters \({\alpha }^{{\prime} }=0.44,\,{\beta }^{{\prime} }=0.19\). The errorbars indicate one standard error of the mean. The exemplary data in this figure corresponds to the interaction matrix in Fig. 1c with a scaling factor g = 1.3; see Methods.

Extended Data Fig. 4 Average magnetization.

The measured regular and staggered magnetization along the x (a), y (b), and z (c) axes for the first configuration (with interaction matrix in Fig. 1c). The errorbars indicate one standard error of the mean.

Extended Data Fig. 5 Modeled interaction and measured correlations.

a, Numerically calculated spin-spin interaction based on Eq. (4) and a simple model of the trapping potential for the three experimental configurations, assuming a harmonic trap for the radial coordinates and a combination of quadratic and quartic potentials for the axial direction. The filled circles indicate the numerically calculated values with no free parameters. The solid lines are fits to the numerical results with a profile of \(J(l)=\bar{J}{e}^{-{\beta }^{{\prime} }(l-1)}{l}^{-{\alpha }^{{\prime} }}\). The fitted parameters are \({\alpha }^{{\prime} }=0.44,\,{\beta }^{{\prime} }=0.19\) for the first configuration (purple), \({\alpha }^{{\prime} }=1,\,{\beta }^{{\prime} }=0.19\) for the second configuration (black), and \({\alpha }^{{\prime} }=3.4,\,{\beta }^{{\prime} }=0\) for the third configuration (blue). Open squares are the experimental data in two out of the three experimental configurations, where the bars represent the spread of measured values of all pairs at a specific spacing l, namely one standard error of the mean. b, Measured spin correlation for the first (left) and the third (right) configuration for the state prepared at the end of the ramp. c, Comparison between the spatially averaged correlations CN(l) for N = 23 as a function of inter-spin distance l for the long-range (purple) and the short-range (blue) configurations.

Extended Data Fig. 6 Numerical simulation of the experiment in the first configuration.

a and b show the comparison of the correlation functions CN(l) between the experimental data (filled) and numerical results (unfilled) including modeled decoherence. In a, the system size is N = 7, and, in b, it is N = 11.

Extended Data Fig. 7 Numerical simulation of the quench dynamics.

We simulate the unitary quench evolution in Fig. 4 (i.e. without considering any decoherence processes). a, Measured spin-spin correlations \(\langle {\widehat{\sigma }}_{x}^{(i)}{\widehat{\sigma }}_{x}^{(j)}\rangle \) developed during the evolution by Eq. (3) for time τ. b, Average correlation as a function of time. The dots in different colors correspond to the correlation averaged within the corresponding colored contours shown in a (top left). The fast oscillations are due to the large but finite longitudinal magnetic field B.

Extended Data Fig. 8 Long-range correlation.

The correlation matrix \({C}_{ij}^{k}=\langle {\widehat{\sigma }}_{k}^{(i)}{\widehat{\sigma }}_{k}^{(j)}\rangle \), with (a) k = x or (b) k = y, measured in the x and y basis, respectively, for various system sizes of N = 7, 11, 15, 19, and 23. This data corresponds to the first experimental configuration (purple curve in Extended Data Fig. 5a) that leads to the correlations presented in Fig. 3 via the relation \({C}_{ij}=\frac{1}{2}({C}_{ij}^{x}+{C}_{ij}^{y})\).

Extended Data Fig. 9 Estimation of effective temperature.

Comparison of the correlations CN(l) between the measured state (Fig. 3b) (purple) and a numerically calculated thermal-state (black) for N = 11. The thermal state has an effective temperature \({k}_{{\rm{B}}}{\mathcal{T}}\approx 0.07{\bar{E}}_{{\rm{int}}}\), with \({\bar{E}}_{{\rm{int}}}=\frac{1}{N}{\sum }_{i\ne j}{J}_{i,j}\) denoting the average interaction energy. Here we consider the second experimental configuration presented as a black curve in Extended Data Fig. 5a.

Extended Data Fig. 10 Simulation of larger spin chains.

Numerical simulation of the order parameter \({\mathcal{M}}(N)\) of the CSB phase in the ground state of − H (s = 1) for spin chains of different sizes (N = 23 in red, 49 in magenta, and 89 in blue) as a function of the sideband detuning Δ. The sharp decrease in \({\mathcal{M}}\) at large Δ (short interaction range) compared to that at small Δ (large interaction range) indicates a phase transition from a disordered phase to the CSB phase.

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

Feng, L., Katz, O., Haack, C. et al. Continuous symmetry breaking in a trapped-ion spin chain. Nature 623, 713–717 (2023). https://doi.org/10.1038/s41586-023-06656-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41586-023-06656-7

This article is cited by

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

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