Visualization of Entanglement Geometry by Structural Optimization of Tree Tensor Network
Visualization of Entanglement Geometry by Structural Optimization of Tree Tensor Network
toshiya-hikihara
Hiroshi Ueda
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.
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Extracting a function encoded in amplitudes of a quantum state by tensor network and orthogonal function expansion
Extracting a function encoded in amplitudes of a quantum state by tensor network and orthogonal function expansion
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Entanglement bipartitioning and tree tensor networks
Entanglement bipartitioning and tree tensor networks
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Automatic structural optimization of tree tensor networks
Automatic structural optimization of tree tensor networks
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Developments in the Tensor Network — from Statistical Mechanics to Quantum Entanglement
Tensor network methods for quantum many-body systems and quantum entanglement.
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Entanglement Entropy on the Boundary of the Square-Lattice ±J Ising Model
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Corner transfer matrix renormalization group analysis of the two-dimensional dodecahedron model
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