Conference Presentation (Invited) FZJ-2023-00090

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Improve the Pauli coefficient measurement with Active Learning



2022

JUQCA day, JülichJülich, Germany, 14 Nov 2022 - 14 Nov 20222022-11-142022-11-14

Abstract: 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.


Contributing Institute(s):
  1. Theoretische Nanoelektronik (PGI-2)
Research Program(s):
  1. 5224 - Quantum Networking (POF4-522) (POF4-522)

Appears in the scientific report 2022
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The record appears in these collections:
Dokumenttypen > Präsentationen > Konferenzvorträge
Institutssammlungen > PGI > PGI-2
Workflowsammlungen > Öffentliche Einträge
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 Datensatz erzeugt am 2023-01-04, letzte Änderung am 2023-01-23



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