Abstract

In recent years small- and intermediate-scale quantum computers have become available. While these devices have already successfully outperformed classical computers in certain tasks, they still suffer from a considerable level of noise, limiting the number of operations that can be executed faithfully. Hence, a careful circuit design as well as efficient methods for postprocessing the data to mitigate errors are vital. In this talk I will briefly discuss two approaches that can help to accomplish this task. First, I will show a method that allows for analyzing and optimizing parametric quantum circuits, which are at the heart of many algorithms designed for small-scale quantum devices. Second, I will discuss a way to mitigate readout errors, which can be among the most dominating error sources, in an efficient way.

About the Speaker
 

Dr. Stefan Kühn was awarded his Ph.D. at the Max Planck Institute of Quantum Optics, Garching, Germany, in the Theory Division headed by Prof. J. Ignacio Cirac. His Ph.D. thesis was titled “Quantum and classical simulation of High Energy Physics” (2012 - 2017). Thereafter he worked as a postdoctoral fellow at the Perimeter Institute for Theoretical Physics, Waterloo, ON, Canada, as part of the Tensor Networks Initiative (Dec 2017 – Dec 2019).

He is currently a postdoctoral fellow in Quantum Computing at CaSToRC of the Cyprus Institute (since January 2020).

Download the Summer 2021 Online EuroCC & SimEA Seminar Series Programme here.

View all CyI events.