Ueda Group

Research

The Ueda Group focuses on tensor network methods, quantum many-body physics, quantum algorithms, and quantum-classical hybrid computation.

We develop numerical and theoretical methods for strongly correlated systems, quantum entanglement, variational quantum computation, and quantum-HPC hybrid workflows.

Our research connects condensed matter physics, quantum information, and high-performance computing.

Research Topics

Tensor Networks: Development and optimization of tensor network methods for quantum and classical many-body systems.
Quantum Algorithms: Design of quantum algorithms inspired by entanglement structures and tensor network representations.
Quantum-Classical Hybrid Computation: Variational quantum algorithms, tensor-network ansätze, and hybrid workflows for near-term quantum devices.
Quantum HPC: Integration of quantum computing, high-performance computing, and numerical many-body methods.

Recent Publications

Shohei Miyakoshi, Takanori Sugimoto, Tomonori Shirakawa, Seiji Yunoki, Hiroshi Ueda (2026). High-Precision Variational Quantum SVD via Classical Orthogonality Correction. arXiv:2605.08683 [quant-ph].

DOI PDF Preprint

Ryo Watanabe, Joseph Tindall, Shohei Miyakoshi, Hiroshi Ueda (2026). Quantum-Inspired Algorithm for Classical Spin Hamiltonians Based on Matrix Product Operators. arXiv:2602.05224 (2026) [15 pages].

DOI PDF

Takumi Kaneda, Keisuke Fujii, Hiroshi Ueda (2026). Large-scale quantum device benchmarking via LXEB with particle-number-conserving random quantum circuits. Physical Review Research.

DOI PDF

Ryo Watanabe, Hidetaka Manabe, Toshiya Hikihara, Hiroshi Ueda (2026). TTNOpt: Tree tensor network package for high-rank tensor compression. Computer Physics Communications 319, 109918.

DOI Code Preprint

Ryo Watanabe, Toshiya Hikihara, Hiroshi Ueda (2025). Site-Order Optimization in the Density Matrix Renormalization Group via Multi-Site Rearrangement. arXiv:2512.22021 (2025).

DOI PDF

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