Visualization of Entanglement Geometry by Structural Optimization of Tree Tensor Network
Sep 28, 2026·
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Toshiya Hikihara
Hiroshi Ueda
Kouichi Okunishi
Kenji Harada
Tomotoshi Nishino
Abstract
We investigate the spatial structure of entanglement in quantum many-body systems through structural optimization of tree tensor networks. The optimized tensor-network geometry provides a direct visualization of the underlying entanglement structure.
Type
Publication
Proceedings of the 34th IUPAP Conference on Computational Physics, Springer Proceedings in Physics 356, 117–126 (2026)
Authors
Associate Professor
Hiroshi Ueda is an Associate Professor at the Center for Quantum Information and Quantum Biology (QIQB), The University of Osaka.
His research focuses on tensor network methods, quantum many-body physics, quantum algorithms, and quantum-classical hybrid computation. He develops theoretical and numerical approaches for understanding quantum many-body systems and for designing quantum algorithms inspired by tensor network structures.