报告题目：Digital-analogue types of quantum algorithms: complexity and experimental proposals

报 告 人：Jinzhao Sun  University of Oxford

报告时间：2025年1月2日10：00

报告地点：物理楼W105

内容摘要：Digital-analogue quantum computing has emerged as a promising approach that fully exploits the native operation and the programmable ability of a quantum processor. This computing paradigm is particularly well-suited for neutral atom arrays, leveraging their ability to function as qubits with high connectivity and their natural interactions for Hamiltonian dynamics. In this talk, I will give an overview of the current state of quantum computing. Then I will introduce several digital-analogue types of quantum algorithms designed for quantum many-body problems and the associated algorithmic complexities. Additionally, I will introduce a new channel purification method for recovering noiseless states and discuss how it addresses the fundamental limitation of error mitigation in its exponential sampling overhead. Finally, I will explore a few potential experimental proposals involving neutral atom arrays engaging the audience.

报告人简介：Jinzhao Sun is a Schmidt AI in Science fellow at Oxford, and an associate research fellow and college advisor at Reuben College Oxford. Jinzhao received his BSc in physics from Peking University and PhD in physics from the University of Oxford supervised by Vlatko Vedral and Andrew Boothroyd. After that, he worked as a research associate at Imperial and Cambridge, before taking up the fellowship at Oxford with joint appointment as a research fellow at UCL. He has broad research interests in quantum computing, quantum information and quantum many-body physics.