SEMINAR 2023

Quantum algorithms for near-term quantum hardware

SpeakerXiao Yuan, Peking University
Date/TimeWednesday, 6 December, 11am
LocationConference room: S11-02-07

Abstract

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.

Biography

Dr. Xiao Yuan joined Peking University (PKU) in November 2020 and is currently an assistant professor at Center on Frontiers of Computing Studies (CFCS), PKU. Before joining CFCS, he worked as a postdoc at Stanford University from 2019 to 2020, as a postdoc at Oxford University from 2017 to 2019, as an assistant researcher at University of Science and Technology of China in 2017. Dr. Yuan got his PhD in physics from Tsinghua University in 2016 and received his Bachelor in theoretical physics from Peking University in 2012. His research interests focus on three aspects of quantum information science, including near-term and universal quantum computing, quantum foundation, and quantum cryptography.