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Cited by 586

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Discrete Time Crystals: Rigidity, Criticality, and Realizations

Open access
Yao, N. Y., Potter, A. C., Potirniche, I.-D., Vishwanath, A.·2017·Physical Review Letters

Abstract

Despite being forbidden in equilibrium, spontaneous breaking of time translation symmetry can occur in periodically driven, Floquet systems with discrete time-translation symmetry. The period of the resulting discrete time crystal is quantized to an integer multiple of the drive period, arising from a combination of collective synchronization and many body localization. Here, we consider a simple model for a one-dimensional discrete time crystal which explicitly reveals the rigidity of the emergent oscillations as the drive is varied. We numerically map out its phase diagram and compute the properties of the dynamical phase transition where the time crystal melts into a trivial Floquet insulator. Moreover, we demonstrate that the model can be realized with current experimental technologies and propose a blueprint based upon a one dimensional chain of trapped ions. Using experimental parameters (featuring long-range interactions), we identify the phase boundaries of the ion-time-crystal and propose a measurable signature of the symmetry breaking phase transition.

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Metadata

Authors
Yao, N. Y., Potter, A. C., Potirniche, I.-D., & Vishwanath, A.
Venue
Physical Review Letters
Published
2017-01-18
Volume
118
Issue
3
Pages
030401-030401
ISSN
  • 0031-9007 (ISSN-L)
  • 1079-7114
OpenAlex
W2475628123
Cited by
586
References
3
FWCI
31.69
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Discrete Time Crystals: Rigidity, Criticality, and Realizations. https://app.cochat.ai/papers/10.1103/physrevlett.118.030401
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Yao, N. Y., Potter, A. C., Potirniche, I.-D., & Vishwanath, A. (2017). Discrete Time Crystals: Rigidity, Criticality, and Realizations. Physical Review Letters. https://doi.org/10.1103/physrevlett.118.030401

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.