賴青沂 教授

本研究專注於量子糾錯碼、容錯計算與量子學習理論。致力於開發低硬體開銷的糾錯架構與量子網路應用；同時深耕量子學習演算法，聚焦於穩定子態與通用量子通道的特徵刻劃，為未來容錯量子資訊處理奠定核心理論基礎。

This research focuses on the core theories of quantum error correction (QEC), fault-tolerant computing, and quantum learning. We aim to design low-overhead QEC architectures for quantum networks, while advancing learning algorithms for stabilizer states and universal quantum channels to anchor future fault-tolerant information processing.