Quantum-Inspired Algorithm for Classical Spin Hamiltonians Based on Matrix Product Operators
Quantum-Inspired Algorithm for Classical Spin Hamiltonians Based on Matrix Product Operators

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.
Quantum-Inspired Algorithm for Classical Spin Hamiltonians Based on Matrix Product Operators
Large-scale quantum device benchmarking via LXEB with particle-number-conserving random quantum circuits
A tree tensor network software package for quantum spin systems and high-rank tensor compression.
Site-Order Optimization in the Density Matrix Renormalization Group via Multi-Site Rearrangement
Improving the accuracy of the tree-tensor network approach by optimization of network structure
Diamond-shaped quantum circuit for real-time quantum dynamics in one dimension
Automatic quantum circuit encoding method for constructing compact quantum circuits representing arbitrary quantum states.
Automatic Structural Search of Tensor Network States including Entanglement Renormalization
Explicit quantum surrogates for quantum kernel models
Current numbers of qubits and their uses