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Detecting Quantum Phase Transitions in Spin Chains

  • Yan Chao Li
  • , Wing Chi Yu
  • , Hai-Qing Lin*
  • *Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 12 - Chapter in an edited book (Author)

Abstract

Quantum entanglement is a unique physical property that distinguishes quantum systems from classical systems. Entanglement in spin chain models has potential application in quantum information processing. Studying quantum phase transitions of such models from the quantum information point of view is the foundation of quantum physics and an effective means in understanding and applying quantumness. This method achieves extensive research and rapid development because no a priori knowledge of symmetry of the system is needed. However, some key issues have not been effectively addressed, such as the determination of order parameters and the effectiveness and universality of each detector. Therefore, we focus on the performance of entanglement and its related quantum correlations in the characterization of quantum phase transitions under different conditions. The natural connection between quantum correlation and quantum phase transitions is mainly discussed, and a general context and the possible direction of its development are sorted out to provide help for the deep understanding of quantumness and the improvement of research methods of quantum phase transition. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.
Original languageEnglish
Title of host publicationEntanglement in Spin Chains
Subtitle of host publicationFrom Theory to Quantum Technology Applications
EditorsAbolfazl Bayat, Sougato Bose, Henrik Johannesson
PublisherSpringer, Cham
Pages13–40
ISBN (Electronic)978-3-031-03998-0
ISBN (Print)978-3-031-03997-3, 978-3-031-04000-9
DOIs
Publication statusPublished - 2022

Publication series

NameQuantum Science and Technology
ISSN (Print)2364-9054
ISSN (Electronic)2364-9062

Funding

We acknowledge financial support from the National Natural Science Foundation of China (Grants No. 12074376, No. 12088101, and 12005179) and the NSAF U1930402.

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