ZiYi Yang Presents FrontierLab Research on Failure-Aware Quantum Simulation
ZiYi Yang, a FrontierLab exchange student visiting the Ueda Group, gave his final presentation at the university-wide FrontierLab Final Presentation held at The University of Osaka on July 24, 2026.
The presentation, entitled “Light-Cone-Based Quantum Circuit Learning for Failure-Aware Simulation of 1D Spin Chains”, reported his research on improving the reliability of shallow-circuit simulations of real-time quantum dynamics.
The project combines a physics-guided variational circuit architecture with machine-learning-based diagnostics. The proposed approach uses the light-cone structure of quantum dynamics to guide circuit design and analyzes early-time fidelity, depth feasibility, and bond-layer sensitivity to identify reliable circuit configurations.
During the poster session, ZiYi discussed the motivation, circuit architecture, numerical benchmarks, and machine-learning-guided design strategy with participants from a broad range of research fields.
The presentation marked the completion of his FrontierLab research activities with the Ueda Group.
Ziyi Yang is an undergraduate student in Mathematics and Physics at the University of Toronto.
His research interests include quantum computing, quantum mechanics, computational physics, quantum optics, and machine learning applications in physics.
He has experience in optical and photonics experiments, computational modeling, and data-driven scientific analysis.
Ziyi visited the Ueda Group through the FrontierLab program from April to August 2026, where he worked on tensor networks, quantum many-body systems, and hybrid quantum-classical computation.