TTNOpt: Tree tensor network package for high-rank tensor compression
A tree tensor network software package for quantum spin systems and high-rank tensor compression.
ryo-watanabe
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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Site-Order Optimization in the Density Matrix Renormalization Group via Multi-Site Rearrangement
Site-Order Optimization in the Density Matrix Renormalization Group via Multi-Site Rearrangement
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Improving the accuracy of the tree-tensor network approach by optimization of network structure
Improving the accuracy of the tree-tensor network approach by optimization of network structure
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Phase Transition of the Ising Model on a 3-Dimensional Fractal Lattice
Phase Transition of the Ising Model on a 3-Dimensional Fractal Lattice
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Diamond-shaped quantum circuit for real-time quantum dynamics in one dimension
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Automatic Structural Search of Tensor Network States including Entanglement Renormalization
Automatic Structural Search of Tensor Network States including Entanglement Renormalization
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Explicit quantum surrogates for quantum kernel models
Explicit quantum surrogates for quantum kernel models
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Current numbers of qubits and their uses
Current numbers of qubits and their uses
tsubasa-ichikawa
Variational quantum eigensolver with embedded entanglement using a tensor-network ansatz
Variational quantum eigensolver with embedded entanglement using a tensor-network ansatz
ryo-watanabe