Time：July 5 2021, 14:00-15:00

Venue: Room 526

Tencent Meeting ID: 419598961

Password：Quantum

Title：Variational quantum algorithms for near-term devices

Host：Dong Liu, Research Scientist, BAQIS；Associate Professor, Department of Physics, Tsinghua University 

Abstract：

Noisy intermediate scale quantum (NISQ) algorithms arise in the recent years as they have the potential to be implemented on the near-term quantum devices to demonstrate a certain level of quantum advantage. Among many proposed algorithms, the classical-quantum hybrid algorithms stand out to be promising candidates, in particular the variational quantum eigensolver (VQE). This talk covers two applications of VQE, one is to solve linear algebra problems and the other is to search for the encoding circuits of quantum error correction codes. In the first part, I will show the solutions of linear systems of equations and matrix-vector multiplications can be translated as the ground states of the constructed Hamiltonians. The cost and effectiveness of the algorithm are evaluated through numerical simulations, and the algorithm is also implemented on the IBMQ device. In the second part, I will show a quantum compiler that can find efficient encoders for logical states of an error correction code for general quantum hardware.  The discovered circuits can be further augmented with error detection.  

About the Speaker：

Dr. Xiaosi Xu is an applied Scientist in AWS, Dphil in Physics @University of Oxford, UK, MSc in Applied Physics @TU Delft, the Netherlands and BSc in Applied Physics from Nankai University, P.R.China. Her current work focuses on theoretical quantum computing, specifically on quantum error correction and hybrid quantum algorithms. She is a specialist about quantum computing, programming, optics, semiconductors.