Recent Publications by Ueda Group Members
Several recent research works involving members of the Ueda Group have been formally published in journals and conference proceedings.
Critical phenomena on a 3D fractal with intermediate dimensionality: tensor-network study
Jozef Genzor, Roman Krčmár, Hiroshi Ueda, Tomotoshi Nishino, Denis Kochan, and Andrej Gendiar
npj Spintronics 4, 29 (2026)
This work investigates critical phenomena of the Ising model on a three-dimensional fractal lattice using tensor-network methods, providing insight into phase transitions in systems with intermediate effective dimensionality.
Detection of Planck-scale physics facilitated by nonlinear quantum optics
Wenlin Li, Chengsong Zhao, Najmeh Eshaqi-Sani, Zhiyu Jiang, and Xingli Li
Physical Review A 113, 053526 (2026)
The study develops a quantum-optical approach for probing possible Planck-scale modifications of quantum mechanics, using nonlinear optical effects to enhance extremely small signatures in the dynamics of a mechanical resonator.
Visualization of Entanglement Geometry by Structural Optimization of Tree Tensor Network
Toshiya Hikihara, Hiroshi Ueda, Kouichi Okunishi, Kenji Harada, and Tomotoshi Nishino
Proceedings of the 34th IUPAP Conference on Computational Physics,
Springer Proceedings in Physics 356, 117–126 (2026)
This work demonstrates how structural optimization of tree tensor networks can be used to visualize the underlying geometry of entanglement in quantum many-body systems.
These publications reflect ongoing research activities of the Ueda Group across tensor-network methods, quantum many-body physics, statistical physics, and quantum information science.
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.