Mapping a topology-disorder phase diagram with a quantum simulator

POSTER

Abstract

The competition and interplay of topology and disorder has been one of the most famous topics in the field of condensed matter physics. In addition to the intuitive tendency to bring the system into a topologically trivial and localized phase, it has been discovered that disorder can also induce nontrivial topology and transport. To reveal rich and diverse phase structures, mapping phase diagrams plays an important role in both theoretical and experimental sides. Quantum simulation provides a prospective way to study the target model, explore the phase diagram and reveal the underlying mechanism. Thanks to the unprecedented controllability, superconducting quantum simulators have been introduced to investigate complex many-body physics and bring thought experiments into reality. To our best knowledge, the effort to map a phase diagram with a rich structure is still lacking. Here we report a systematic experimental study of the topology-disorder phase diagram with 32 qubits on a programmable analog quantum simulator. We implement one-dimensional (1D) disordered dimerized tight-binding models over a wide parameter range and observe diverse phases, including the topological Anderson insulator (TAI) and the inverse Anderson localization (IAL). Our experiment manifests the efficiency, accuracy and flexibility of the superconducting-circuit device and paves the way to the demonstration and understanding of many-body phenomena with noisy intermediate-scale quantum simulators.

* We acknowledge support from the National Natural Science Foundation of China (grant nos. 11890704, 12174126, 12104055, 12104056 and 12004042), Natural Science Foundation of Beijing (grant no. Z190012), Guangdong Basic and Applied Basic Research Foundation (grant no. 2021A1515010315) and Key Area Research and Development Program of Guangdong Province (grant no. 2018B030326001).

Presenters

  • Huikai Xu

    Beijing Academy of Quantum Information Sciences

Authors

  • Huikai Xu

    Beijing Academy of Quantum Information Sciences

  • Xuegang Li

    Beijing Academy of Quantum Information Sciences

  • Junhua Wang

    Beijing Academy of Quantum Information Sciences

  • Ling-Zhi Tang

    South China Normal University

  • Dan-Wei Zhang

    South China Normal University

  • Jing-Ning Zhang

    Beijing Academy of Quantum Information Sciences

  • Yi-Rong Jin

    Beijing Academy of Quantum Information Sciences

  • Hai-Feng Yu

    Beijing Academy of Quantum Information Sciences

  • Chu-Hong Yang

    Beijing Academy of Quantum Information Sciences

  • Tang Su

    Beijing Academy of Quantum Information Sciences

  • Chen-Lu Wang

    Beijing Academy of Quantum Information Sciences

  • Zhen-Yu Mi

    Beijing Academy of Quantum Information Sciences

  • Wei-Jie Sun

    Beijing Academy of Quantum Information Sciences

  • Xue-Hui Liang

    Beijing Academy of Quantum Information Sciences

  • Chen Mo

    Beijing Academy of Quantum Information Sciences

  • Cheng-Yao Li

    Beijing Academy of Quantum Information Sciences

  • Yingshan Zhang

    Beijing Academy of Quantum Information Sciences

  • Ke-Huan Linghu

    Beijing Academy of Quantum Information Sciences

  • Jiaxiu Han

    Beijing Academy of Quantum Information Sciences

  • Weiyang Liu

    Beijing Academy of Quantum Information Sciences

  • Yulong Feng

    Beijing Academy of Quantum Information Sciences

  • Pei Liu

    Beijing Academy of Quantum Information Sciences, Tsinghua University

  • Guangming Xue

    Beijing Academy of Quantum Information Sciences