Fault-Tolerant Quantum Computation Based on Surface Code
演讲者
张毅明
时间
2025年06月13日 16:00 至 17:30
地点
Shuangqing-B627
线上
Zoom 230 432 7880
(BIMSA)
摘要
Quantum computers hold the promise of solving problems beyond the reach of classical machines, such as prime factorization. However, to fully realize their potential, we must address the challenges posed by noise during computation. Quantum error correction (QEC) tackles this issue by encoding quantum information with redundant resources, extracting error syndromes during execution, and correcting predicted errors. In this talk, we will discuss how to implement fault-tolerant quantum computation using the 2D planar surface code. We will explore both the progress and the experimental challenges of realizing surface code computation on superconducting quantum computers. Finally, we will introduce the TQEC project, which focuses on building tools for representing, constructing, and compiling fault-tolerant quantum computations based on surface code and lattice surgery.
Bio:
Yiming Zhang is a PhD student in Professor Xiaobo Zhu's group at the University of Science and Technology of China. He has actively contributed to several high-profile experiments, including demonstrations of quantum advantage using random circuit sampling and surface code logical memory. He is also one of the core maintainers of the TQEC project, which develops design automation tools for surface code computation. His research interests include QEC-aware logical circuit compilation and optimization, as well as quantum resource estimation.
Bio:
Yiming Zhang is a PhD student in Professor Xiaobo Zhu's group at the University of Science and Technology of China. He has actively contributed to several high-profile experiments, including demonstrations of quantum advantage using random circuit sampling and surface code logical memory. He is also one of the core maintainers of the TQEC project, which develops design automation tools for surface code computation. His research interests include QEC-aware logical circuit compilation and optimization, as well as quantum resource estimation.