Quantum transport in fractal networks

  • Xiao Yun Xu
  • , Xiao Wei Wang
  • , Dan Yang Chen
  • , C. Morais Smith
  • , Xian Min Jin*
  • *Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Fractals are fascinating, not only for their aesthetic appeal but also for allowing the investigation of physical properties in non-integer dimensions. In these unconventional systems, many intrinsic features might come into play, including the fractal dimension and the fractal geometry. Despite abundant theoretical studies, experiments in fractal networks remain elusive. Here we experimentally investigate quantum transport in fractal networks by performing continuous-time quantum walks in fractal photonic lattices. We unveil the transport properties through the photon evolution patterns, the mean square displacement and the Pólya number. Contrarily to classical fractals, we observe anomalous transport governed solely by the fractal dimension. In addition, the critical point at which there is a transition from normal to anomalous transport depends on the fractal geometry. Our experiment allows the verification of physical laws in a quantitative manner and reveals the transport dynamics in great detail, thus opening a path to the understanding of more complex quantum phenomena governed by fractality.

Original languageEnglish
Pages (from-to)703-710
Number of pages9
JournalNature Photonics
Volume15
Issue number9
DOIs
Publication statusPublished - Sept 2021

Bibliographical note

Funding Information:
We thank J.-W. Pan for helpful discussions, X.-L. Huang and Z.-M. Li for helping in the experiments, J. Gao, R.-J. Ren and S. Freeney for proof reading, and W.-H. Zhou for assistance in formatting the figures. This research is supported by the National Key R&D Program of China (2019YFA0308700, 2019YFA0706302 and 2017YFA0303700); National Natural Science Foundation of China (NSFC) (11904229, 61734005, 11761141014, 11690033); Science and Technology Commission of Shanghai Municipality (STCSM) (20JC1416300, 2019SHZDZX01); Shanghai Municipal Education Commission (SMEC) (2017-01-07-00-02-E00049); China Postdoctoral Science Foundation (2021M692094, 2020M671091). X.-M.J. acknowledges additional support from a Shanghai talent program and support from Zhiyuan Innovative Research Center of Shanghai Jiao Tong University.

Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Nature Limited.

Funding

We thank J.-W. Pan for helpful discussions, X.-L. Huang and Z.-M. Li for helping in the experiments, J. Gao, R.-J. Ren and S. Freeney for proof reading, and W.-H. Zhou for assistance in formatting the figures. This research is supported by the National Key R&D Program of China (2019YFA0308700, 2019YFA0706302 and 2017YFA0303700); National Natural Science Foundation of China (NSFC) (11904229, 61734005, 11761141014, 11690033); Science and Technology Commission of Shanghai Municipality (STCSM) (20JC1416300, 2019SHZDZX01); Shanghai Municipal Education Commission (SMEC) (2017-01-07-00-02-E00049); China Postdoctoral Science Foundation (2021M692094, 2020M671091). X.-M.J. acknowledges additional support from a Shanghai talent program and support from Zhiyuan Innovative Research Center of Shanghai Jiao Tong University.

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