Automatic structural optimization of tree tensor networks
Automatic structural optimization of tree tensor networks

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.
Automatic structural optimization of tree tensor networks
Tensor network methods for quantum many-body systems and quantum entanglement.
Quantum spin solver near saturation: QS3
Quantum-inspired Search Method for Low-energy States of Classical Ising Hamiltonians
Deep Variational Quantum Eigensolver: A Divide-And-Conquer Method for Solving a Larger Problem with Smaller Size Quantum Computers
Entanglement Entropy on the Boundary of the Square-Lattice ±J Ising Model
Corner transfer matrix renormalization group analysis of the two-dimensional dodecahedron model
Roles of easy-plane and easy-axis XXZ anisotropy and bond alternation in a frustrated ferromagnetic spin- 12 chain
Finite- m scaling analysis of Berezinskii-Kosterlitz-Thouless phase transitions and entanglement spectrum for the six-state clock model
Critical behavior of the two-dimensional icosahedron model