学术动态

报告人：赵琦 助理教授（香港大学）

邀请人：李朝红 教授

时  间：2025年12月16日 16:00-17:00

地  点：深圳大学粤海校区光电所301报告厅

Abstract:

Although quantum simulation of closed systems has seen significant optimization—such as entanglement-based acceleration [Nat. Phys. (2025)]—the simulation of open quantum systems remains computationally expensive and challenging. To address this challenge, we present the Linear Combination of Superoperators (LCS) framework [PRL 135, 160602 (2025)]. This method dramatically reduces the overhead for simulating Lindbladian dynamics, requiring only two ancilla qubits while maintaining a circuit depth that is logarithmic in accuracy. Moreover, we demonstrate the power of this efficient simulator by using it to construct a nearly optimal quantum algorithm for solving linear differential equations  [PRL 135, 120604 (2025)]. Our work provides concrete and practical algorithms, significantly advancing the feasibility of meaningful computations on near-term quantum hardware.

Bio:

Prof. Qi Zhao is an Assistant Professor in the Department of Computer Science, the University of Hong Kong (HKU). In 2024, he was recognized as one of the MIT Technology Review “Innovators Under 35” for the Asia Pacific Region. His research interests include quantum simulation, quantum computing, quantum information, and entanglement detection. He obtained his bachelor’s and Doctoral degree from Tsinghua University in 2014 and 2018, respectively. He was a postdoctoral researcher at the University of Science and Technology of China in 2019. He was a Hartree Postdoctoral Fellow at the University of Maryland in the United States before joining HKU as an Assistant Professor in 2022. He has published 55 journal articles, including Nature, Nature Physics, PRL, PRX, npj Quantum Information, PNAS, and IEEE TIT. His works have also been presented as contributed talks at important conferences in quantum information theory, such as QIP, AQIS, TQC, and QCrypt.