TY  - CONF
AU  - Ai, Jiaqi
TI  - Improve the Pauli coefficient measurement with Active Learning
M1  - FZJ-2023-00090
PY  - 2022
AB  - 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.
T2  - JUQCA day
CY  - 14 Nov 2022 - 14 Nov 2022, Jülich (Germany)
Y2  - 14 Nov 2022 - 14 Nov 2022
M2  - Jülich, Germany
LB  - PUB:(DE-HGF)6
UR  - https://juser.fz-juelich.de/record/916766
ER  -