collaborators

6 papers

cond-mat.str-el2026

Correlation functions at the topological quantum phase transition in the S=1 XXZ chain with single-ion anisotropy

Toshiya Hikihara, Akira Furusaki

We study the one-dimensional S=1 XXZ spin model with single-ion anisotropy. It is known that at the transition points between the Haldane and large-D phases, the model exhibits a q…

cond-mat.stat-mech2026

Tree-Graph Based Construction of Quantum Spin Models with Exact Ground State

Toshiya Hikihara

We propose a protocol to generate an antiferromagnetic S=1/2 Heisenberg model with the exact ground state based on a tree graph. The generated model has a correspondence with a tre…

cond-mat.stat-mech2026

Site-Order Optimization in the Density Matrix Renormalization Group via Multi-Site Rearrangement

Ryo Watanabe, Toshiya Hikihara, Hiroshi Ueda

In the approaches based on matrix-product states (MPSs), such as the density-matrix renormalization group (DMRG) method, the ordering of the sites crucially affects the computation…

cond-mat.stat-mech2025

Visualization of Entanglement Geometry by Structural Optimization of Tree Tensor Network

Toshiya Hikihara, Hiroshi Ueda, Kouichi Okunishi +2

In tensor-network analysis of quantum many-body systems, it is of crucial importance to employ a tensor network with a spatial structure suitable for representing the state of inte…

cond-mat.stat-mech2025

Improving accuracy of tree-tensor network approach by optimization of network structure

Toshiya Hikihara, Hiroshi Ueda, Kouichi Okunishi +2

Numerical methods based on tensor networks have been extensively explored in the research of quantum many-body systems in recent years. It has been recognized that the ability of t…

quant-ph2025

TTNOpt: Tree tensor network package for high-rank tensor compression

Ryo Watanabe, Hidetaka Manabe, Toshiya Hikihara +1

We have developed TTNOpt, a software package that utilizes tree tensor networks (TTNs) for quantum spin systems and high-dimensional data analysis. TTNOpt provides efficient and po…