6 citations · 15 across the 8 of their papers we have counts for
8 papers
Logarithmic corrections to bulk and surface criticality in a three-dimensional quantum Heisenberg antiferromagnet
Xuyang Liang, Xiao-Chuan Wu, Zenan Liu +3
At the bulk upper critical dimension, marginally irrelevant interactions generate multiplicative logarithmic corrections to mean-field scaling. While these corrections are well und…
Corner Charge Fluctuations in Higher Dimensions
Xiao-Chuan Wu, Pok Man Tam, Xuyang Liang +4
Measuring charge fluctuations within a subregion provides a powerful probe of quantum many-body systems. In two spatial dimensions, the shape dependence of the dimensionless corner…
Fermi Surface Geometry from Charge Fluctuations in Three-Dimensional Metals
Pok Man Tam, Yarden Sheffer, Xiao-Chuan Wu +2
For three-dimensional non-interacting multi-band metals, we show that important information about the shape and the quantum geometry of Fermi surfaces is encoded in the subleading…
Scaling of the disorder operator at (3+1)D O(3) quantum criticality
Xuyang Liang, Xiao-Chuan Wu, Zenan Liu +3
The disorder operator, as an easily measured nonlocal observable, displays great potential in detecting intrinsic information of field theories. It has been systematically studied…
Exploring the nature of the emergent gauge field in composite-fermion metals: A large-scale microscopic study
Amogh Anakru, Mytraya Gattu, Ajit C. Balram +4
Field theories of the composite-fermion (CF) metal model it as a Fermi sea of composite fermions coupled to an emergent gauge field. Within a random phase approximation, these theo…
Corner Charge Fluctuations and Many-Body Quantum Geometry
Xiao-Chuan Wu, Kang-Le Cai, Meng Cheng +1
In many-body systems with U(1) global symmetry, the charge fluctuations in a subregion reveal important insights into entanglement and other global properties. For subregions with…
Bipartite Fluctuations of Critical Fermi Surfaces
Xiao-Chuan Wu
Fluctuations of conserved quantities within a subsystem are non-local observables that provide unique insights into quantum many-body systems. In this paper, we study bipartite cha…
Dynamical transition in controllable quantum neural networks with large depth
Bingzhi Zhang, Junyu Liu, Xiao-Chuan Wu +2
Understanding the training dynamics of quantum neural networks is a fundamental task in quantum information science with wide impact in physics, chemistry and machine learning. In…