Yuting Wang
University of Minnesota
5 Papers
16 Citations
Yuting Wang is an academic researcher from University of Minnesota. The author has contributed to research in topics: Topological order & Central charge. The author has an hindex of 3, co-authored 4 publications.
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Papers
•Journal Article
Universal Finite-Size Scaling around Topological Quantum Phase Transitions
TL;DR: This work investigates the finite-size scaling away from criticality and finds a scaling function, which discriminates between phases with different topological indices, and appears to be universal for all five Altland-Zirnbauer symmetry classes with nontrivial topology in one spatial dimension.
Finite-size scaling at a topological transition: Bilinear-biquadratic spin-1 chain
TL;DR: Gulden et al. as discussed by the authors showed that the scaling function of the bilinear-biquadratic spin-1 chain coincides with that of three species of noninteracting massive Majorana fermions.
9
Nonlinear absorption and refraction of Cs3Cu2Br5 perovskite
Yuting Wang,Xiongfei Shen,Cheng-hao Yuan,Bingkun Chen,Lin Chen,Zhongming Wang,Feilong Hu,Qiuyun Ouyang +7 more
TL;DR: In this article , Cs3Cu2Br5/PMMA organic glasses are fabricated by dispersing Cs 3Cu2B5 materials in methyl methacrylate (MMA) and the nonlinear absorption and nonlinear refraction properties are measured via the open-aperture (OA) and closed-approach (CA) Z-scan technique, respectively.
3
Universal Finite-Size Scaling around Topological Quantum Phase Transitions.
TL;DR: In this article, the authors investigate the finite-size scaling away from criticality and find a scaling function, which discriminates between phases with different topological indices, and obtain an analytic form of the scaling function and compare it with numerical results.
Finite-size scaling of entanglement entropy in one-dimensional topological models
TL;DR: In this article, the scaling of the entanglement entropy across a topological quantum phase transition for the Kitaev chain model is considered. But the scaling function is independent of model parameters, suggesting some degree of universality.