讲座人简介：

Sanjiang Li is a full professor at the Centre for Quantum Software & Information (QSI) at the University of Technology Sydney (UTS), Australia. He received his B.Sc. and PhD in mathematics from Shaanxi Normal University and Sichuan University in 1996 and 2001, respectively. Before joining UTS, he worked at Tsinghua University from 2001 to 2008. He was an Alexander von Humboldt research fellow at Freiburg University and held prestigious positions such as a Microsoft Research Asia Young Professorship and an ARC Future Fellowship.

His early research focused on knowledge representation and artificial intelligence, particularly in spatial knowledge representation and reasoning. Recently, his work has expanded into quantum circuit compilation and verification, as well as quantum AI.

Professor Li's research has been published in leading journals and conferences, including Artificial Intelligence, IEEE TC, IEEE TCAD, ACM TODAES, and AAAI, IJCAI, DAC, ICCAD.

讲座简介：

Neutral-atom quantum computing (NAQC) offers distinct advantages such as dynamic qubit reconfigurability, long coherence times, and high gate fidelities, making it a promising platform for scalable quantum computing. Despite these strengths, efficiently implementing quantum circuits like the Quantum Fourier Transform (QFT) remains a significant challenge due to atom movement overheads and connectivity constraints. This work introduces optimal compilation strategies tailored to QFT circuits and NAQC systems, addressing these challenges for both linear and grid-like architectures. By minimizing atom movements, the proposed methods achieve theoretical lower bounds in atom movements while preserving high circuit fidelity. Comparative evaluations against state-of-the-art compilers demonstrate the superior performance of the proposed methods. These methods could serve as benchmarks for evaluating the performance of NAQC compilers.

李三江 教授

悉尼科技大学量子软件与信息中心

Centre for Quantum Software and Information

University of Technology Sydney

Sanjiang.li@uts.edu.au

https://www.uts.edu.au/staff/sanjiang.li