ZiYi Yang Presents FrontierLab Research on Failure-Aware Quantum Simulation
ZiYi Yang presented his FrontierLab research on light-cone-based quantum circuit learning for reliable real-time simulation of one-dimensional spin chains.
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.
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.
ZiYi Yang presented his FrontierLab research on light-cone-based quantum circuit learning for reliable real-time simulation of one-dimensional spin chains.
Zhiyu Jiang gave a talk on isometrization of tensor-network states via gauge propagation at the 13th TCCT Quantum Control Workshop.
A new paper on isometrization of tensor-network states via gauge propagation has been posted on arXiv.
Hiroshi Ueda delivered an invited seminar on tensor networks, entanglement structures, and quantum–classical hybrid approaches for quantum many-body systems.
A new paper on variational quantum SVD has been posted on arXiv.