Variational algorithms and quantum error mitigation

We are very excited to welcome our next speaker, Ryan LaRose! We have incorporated Ryan's QuIC Seminar notes into several of our past meetups and so it will be great to have him join us in person (well, in person on zoom).

Title: Variational algorithms and quantum error mitigation

Abstract: Quantum error mitigation (QEM) refers to a series of techniques aimed at improving the accuracy and reliability of noisy quantum computers. In this talk I will introduce various techniques for QEM including zero-noise extrapolation, quantum subspace expansion, and readout error mitigation. I will show examples using Mitiq (https://github.com/unitaryfund/mitiq#quickstart), a software package for QEM, including an example with a variational quantum algorithm. By the end you will understand several methods used in recent literature to improve the performance of NISQ computations, and be able to implement them yourself on example problems.

Ryan is a PhD student at Michigan State University in the department of Computational Mathematics, Science, and Engineering, who is also pursuing a dual PhD in Physics. More info on Ryan, his work and the QuIC Seminar can be found at https://www.ryanlarose.com/ .