papers
Journal articles and preprints in reverse chronological order.
2026
- Interface roughening in the 3-D Ising model with tensor networks2026Presents the first tensor-network study of interface roughening in the 3D Ising model, showing how finite thickness and boundary conditions produce symmetry breaking, crossover behavior, or an emergent U(1) Luttinger-liquid phase.
- Deconfinement from Thermal Tensor Networks: Universal CFT signature in (2+1)-dimensional \mathbbZ_N lattice gauge theory2026Studies finite-temperature deconfinement in (2+1)-dimensional ZN lattice gauge theory with thermal tensor networks, confirming Svetitsky-Yaffe universality and uncovering an intermediate U(1) phase for Z5.
- Lowering the temperature of two-dimensional fermionic tensor networks with cluster expansions2026Extends the cluster-expansion approach to 2D fermionic tensor networks, builds PEPO Gibbs states, benchmarks truncation strategies, and resolves a finite-temperature phase boundary in an attractive spinless-fermion model.
2025
- Self-congruent point in critical matrix product states: An effective field theory for finite-entanglement scalingSciPost Phys., 2025Sets up an effective field theory for finite-entanglement scaling in critical MPS, where finite bond dimension acts as a relevant perturbation and defines a self-congruent RG point.
- Global Tensor Network Renormalization for 2D Quantum systems: A new window to probe universal data from thermal transitionsApr 2025Combines a globally optimized tensor network renormalization scheme with finite-temperature tensor constructions to extract accurate CFT data at thermal transitions in 2D quantum systems.
- Spiral renormalization group flow and universal entanglement spectrum of the non-Hermitian 5-state Potts modelApr 2025Uses tensor networks to simulate a non-Hermitian deformation of the 5-state Potts model, revealing spiral RG flow and the universal boundary spectrum of the associated complex CFT.
2024
- Renormalization group flow and fixed-point in tensor network representationsApr 2024PhD thesis on combining finite-size scaling with tensor network renormalization to extract running couplings and phase boundaries efficiently, and on identifying fixed-point tensors with CFT four-point functions.
- Finite-size corrections to the energy spectra of gapless one-dimensional systems in the presence of boundariesSciPost Phys., Apr 2024Develops a finite-size scaling theory for 1D critical systems with boundaries, including bulk and boundary perturbations, and validates it against Ising and three-state Potts chains.
2023
- Finite-size and finite bond dimension effects of tensor network renormalizationPhys. Rev. B, Jul 2023Uses TNR and conformal finite-size scaling to extract running couplings, track RG flows in critical lattice models, and explain finite bond dimension effects as an emergent relevant perturbation.
2022
- Gapless symmetry-protected topological phase of quantum antiferromagnets on anisotropic triangular stripPhys. Rev. B, Oct 2022Shows with DMRG and field theory that the anisotropic triangular-strip ladder realizes a gapless symmetry-protected topological phase, described as a Tomonaga-Luttinger liquid weakly coupled to a Haldane chain.
- Tensor network renormalization study on the crossover in classical Heisenberg and \mathrmRP^2 models in two dimensionsPhys. Rev. E, Jul 2022Uses tensor network renormalization to clarify the crossover physics of the 2D Heisenberg and RP2 models, arguing for zero-temperature critical fixed points but no finite-temperature critical phase.
2021
- Resolving the Berezinskii-Kosterlitz-Thouless transition in the two-dimensional XY model with tensor-network-based level spectroscopyPhys. Rev. B, Oct 2021Combines tensor network renormalization with level spectroscopy to pinpoint the BKT transition in the 2D XY model more accurately and to visualize the underlying RG flow.