%0 Conference Paper
%A Ai, Jiaqi
%T Improve the Pauli coefficient measurement with Active Learning
%M FZJ-2023-00090
%D 2022
%X We provide an improvement in the process of Active Learning as a concept from machine learning that labels a large amount of data with a small amount of learning material. In this approach, the method is implemented to speed up measuring the Pauli coefficient for the two-qubit gate. The aim of the implementation is to prove the speed up of the measuring process by reducing unwanted interactions.
%B JUQCA day
%C 14 Nov 2022 - 14 Nov 2022, Jülich (Germany)
Y2 14 Nov 2022 - 14 Nov 2022
M2 Jülich, Germany
%F PUB:(DE-HGF)6
%9 Conference Presentation
%U https://juser.fz-juelich.de/record/916766