98%
921
2 minutes
20
The properties of fractional Chern insulator (FCI) phases and the phase transitions between FCIs and Mott insulators in bosonic systems are well studied. The continuous transitions between FCI and superfluids (SFs), however, despite the inspiring field theoretical predictions [M. Barkeshli and J. McGreevy, Phys. Rev. B 89, 235116 (2014)PRBMDO1098-012110.1103/PhysRevB.89.235116; M. Barkeshli and J. McGreevy, Phys. Rev. B 86, 075136 (2012)PRBMDO1098-012110.1103/PhysRevB.86.075136; M. Barkeshli et al., Phys. Rev. Lett. 115, 026802 (2015)PRLTAO0031-900710.1103/PhysRevLett.115.026802; X.-Y. Song et al., Phys. Rev. B 109, 085143 (2024)PRBMDO2469-995010.1103/PhysRevB.109.085143; and X.-Y. Song and Y.-H. Zhang, SciPost Phys. 15, 215 (2023)2542-465310.21468/SciPostPhys.15.5.215], have not been directly verified. The existing numerical results of the FCI-SF transition are either indirect or clearly first order. Here, by simply tuning the bandwidth of the Haldane honeycomb lattice model, we find direct transitions from a bosonic FCI at ν=1/2 filling of a flat Chern band to two SF states with bosons condensed at momenta M or Γ, respectively. While the FCI-SF(M) transition is first order, the FCI-SF(Γ) transition is found to be continuous, and the bipartite entanglement entropy at the critical point with the area-law scaling is consistent with the critical theories. Through finite-size criticality analysis, the obtained critical exponents β≈0.35(5) and ν≈0.62(12) are both compatible with those of the 3D XY universality class within numerical uncertainty and possibly more exotic beyond-Landau ones. This Letter thence presents a direct numerical demonstration of a continuous FCI-SF transition between a topologically ordered phase and a spontaneous continuous symmetry-breaking phase, and further indicates the zero-field bosonic FCI might be realized from a SF state by gradually flattening the dispersion of the Chern band, through the (quasi)adiabatic preparation in ultracold atom systems.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1103/PhysRevLett.134.076601 | DOI Listing |
Phys Life Rev
September 2025
University of Cambridge, Cambridge, United Kingdom. Electronic address:
Phys Life Rev
September 2025
Institute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy. Electronic address:
We present a novel computational model employing hierarchical active inference to simulate reading and eye movements. The model characterizes linguistic processing as inference over a hierarchical generative model, facilitating predictions and inferences at various levels of granularity, from syllables to sentences. Our approach combines the strengths of large language models for realistic textual predictions and active inference for guiding eye movements to informative textual information, enabling the testing of predictions.
View Article and Find Full Text PDFJ Chem Phys
September 2025
Department of Physics and CAMOST, IISER Tirupati, 517619 Andhra Pradesh, India.
The absolute photodetachment cross section characterizes the photostability of atomic and molecular anions against photodestruction by neutralization. The measurement of this quantity has been reported only for atomic and simple molecular ions. In 2006, Wester's group introduced a novel ion-trap-based technique to measure the absolute photodetachment cross section [Trippel et al.
View Article and Find Full Text PDFEur Rev Aging Phys Act
September 2025
University of Southern Denmark, Odense, Denmark.
Aim: To investigate the effect of digital exercise interventions on muscle mechanical function in community-dwelling older adults aged 60 and above.
Methods: Systematic review of randomised controlled trials (RCTs) retrieved from PubMed, EMBASE (Ovid), the Cochrane Central Register of Controlled Trials, and Web of Science until end of March 2024. The Cochrane RoB2.
Phys Rev Res
May 2025
Center for Neuroscience, and Department of Neurobiology, Physiology, and Behavior, University of California, Davis, Davis, California 95616, USA.
The nervous system reorganizes memories from an early site to a late site, a commonly observed feature of learning and memory systems known as systems consolidation. Previous work has suggested learning rules by which consolidation may occur. Here, we provide conditions under which such rules are guaranteed to lead to stable convergence of learning and consolidation.
View Article and Find Full Text PDF