Tensor-network study of quantum phase transition on Sierpi\'nski fractal
Roman Krcmar, Jozef Genzor, Yoju Lee, Hana \v{C}en\v{c}arikov\'a,, Tomotoshi Nishino, and Andrej Gendiar

TL;DR
This paper investigates the quantum phase transition of the transverse-field Ising model on a Sierpiński fractal using tensor-network methods, revealing critical points, exponents, and comparing with other approaches.
Contribution
It applies tensor-network techniques to a fractal lattice, providing new insights into quantum phase transitions on non-integer dimensional structures.
Findings
Critical transverse field at h_c = 1.865
Critical exponents: β ≈ 0.198, δ ≈ 8.7
Comparison with real-space RG and mean-field results
Abstract
The transverse-field Ising model on the Sierpi\'nski fractal, which is characterized by the fractal dimension , is studied by a tensor-network method, the Higher-Order Tensor Renormalization Group. We analyze the ground-state energy and the spontaneous magnetization in the thermodynamic limit. The system exhibits the second-order phase transition at the critical transverse field . The critical exponents and are obtained. Complementary to the tensor-network method, we make use of the real-space renormalization group and improved mean-field approximations for comparison.
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