报告题目：Quantum algorithm for near-term quantum hardware

报告人：袁骁助理教授    北京大学前沿计算研究中心

报告时间：2024年01月15日（周一）14:30

报告地点：理六栋302会议室         邀请人：张笑鸣

报告内容：

Quantum computer could solve classically intractable problems. While since realizing a universal quantum computer is challenging with current technology, a more practical question before having a fully-fledged quantum computer is what we can do with current and near-term quantum hardware. Focusing on the noisy-intermediate-scaled-quantum regime, we introduce variational quantum algorithms for solving static and dynamic problems of many-body physics. Considering the limitations on the qubits number and circuit depth, we introduce the hybrid tensor network and perturbative quantum simulation methods that allow us to solve practical large problems. With the rapid development of quantum hardware, variational quantum algorithms may finally enable genuine quantum advantage demonstration in the noisy-intermediate-scaled quantum era..

专家简介：

Dr. Xiao Yuan received his Bachelor in theoretical physics from Peking University in 2012 and got his PhD in physics from Tsinghua University in 2016. Then he worked as a postdoc at University of Science and Technology of China in 2017, at Oxford University from 2017 to 2019, and at Stanford University from 2019 to 2020. He is now an assistant professor at Center on Frontiers of Computing Studies, Peking University. Dr. Xiao Yuan’s current research interests focus on near-term and universal quantum computing, and their applications.